Patent application title: METHODS AND KITS FOR DETERMINING A RISK TO DEVELOP CANCER, FOR EVALUATING AN EFFECTIVENESS AND DOSAGE OF CANCER THERAPY AND FOR CORRELATING BETWEEN AN ACTIVITY OF A DNA REPAIR ENZYME AND A CANCER
Zvi Livneh (Rehovot, IL)
Tamar Paz-Elizur (Rehovot, IL)
Sara Blumenstein (Ramat Gan, IL)
YEDA RESEARCH AND DEVELOPMENT CO. LTD.
IPC8 Class: AC12Q168FI
Class name: Measuring or testing process involving enzymes or micro-organisms; composition or test strip therefore; processes of forming such composition or test strip involving nucleic acid detecting cancer
Publication date: 2011-12-01
Patent application number: 20110294134
Methods and kits for (i) determining a risk of a subject to develop
cancer; (ii) evaluating an effectiveness and dosage of cancer therapy
administered to a cancer patient; and (iii) determining a presence of
correlation or non-correlation between an activity of at least one DNA
repair enzyme and at least one cancer, are disclosed.
1. A method of determining a risk of a subject to develop cancer, the
method comprising determining a level of catalytic activity of a DNA
repair enzyme in a biological sample of the subject, wherein said DNA
repair enzyme is selected from the group consisting of 8-oxoguanine DNA
glycosylase (OGG1), AP endonuclease1 (APE1), methylpurine DNA glycosylase
(MPG), uracil DNA glycosylase1 (UNG1), uracil DNA glycosylase2 (UNG2),
SMUG1, MBD4, mismatch-specific thymine/uracil glycosylase (TDG),
enodonuclease III (NTH1), adenine-specific mismatch DNA glycosylase
(MYH), 8-oxo-GTPase/8-oxodGTPase (MTH1), dUTPase (DUT), AP endonuclease2
(APE2), deoxyribose phosphate lyase (POLB) and wherein a level of said
activity below a predetermined value is indicative of an increased risk
of the subject to develop said cancer.
2. The method of claim 1, wherein said cancer is selected from the group consisting of lung cancer, colorectal cancer and head and neck cancer.
3. The method of claim 1, wherein the subject is known to be, or is about to be, exposed to environmental conditions associated with increased risk of developing said cancer.
4. The method of claim 3, wherein said environmental conditions are selected from the group consisting of smoking and occupational exposure to smoke or ionizing radiation.
5. The method of claim 1, wherein when said level of catalytic activity of said subject is below said predetermined level, indicative of increased risk of said subject to develop cancer, further counseling said subject to avoid exposure to ionizing radiation or smoke.
6. The method of claim 1, wherein said DNA-repair enzyme is APE1 and said cancer is lung cancer or colorectal cancer.
7. The method of claim 6, wherein when said level of catalytic activity of said subject is below said predetermined level, indicative of increased risk of said subject to develop cancer, further counseling said subject to avoid exposure to ionizing radiation or smoke.
8. The method of claim 1, wherein said DNA-repair enzyme is MPG and said cancer is lung cancer or colorectal cancer.
9. The method of claim 8, wherein when said level of catalytic activity of said subject is below said predetermined level, indicative of increased risk of said subject to develop cancer, further counseling said subject to avoid exposure to ionizing radiation or smoke.
10. A method of determining a risk of a subject to develop colorectal cancer, the method comprising determining a level of catalytic activity of 8-oxoguanine DNA glycosylase in a sample of peripheral blood lymphocytes of the subject and, according to said level, determining the risk of the subject to develop colorectal cancer, wherein a level of said activity below a predetermined value is indicative of an increased risk of said subject to develop colorectal cancer.
11. The method of claim 10, wherein said level of catalytic activity is determined using a double-stranded DNA substrate comprising the complementary oligonucleotides having a polynucleotide sequence as set forth in SEQ ID NOs: 1 and 2.
12. The method of claim 10, wherein when said level of catalytic activity of said subject is below said predetermined level, indicative of increased risk of said subject to develop cancer, further counseling said subject to avoid exposure to ionizing radiation or smoke.
13. A method of determining a risk of a subject to develop head and neck cancer, the method comprising determining a level of catalytic activity of 8-oxoguanine DNA glycosylase in a sample of peripheral blood lymphocytes of the subject and, according to said level, determining the risk of the subject to develop head and neck cancer, wherein a level of said activity below a predetermined value is indicative of an increased risk of said subject to develop head and neck cancer.
14. The method of claim 13, wherein said level of catalytic activity is determined using a double-stranded DNA substrate comprising the complementary oligonucleotides having a polynucleotide sequence as set forth in SEQ ID NOs: 1 and 2.
15. The method of claim 13, wherein when said level of catalytic activity of said subject is below said predetermined level, indicative of increased risk of said subject to develop cancer, further counseling said subject to avoid exposure to ionizing radiation or smoke.
16. A method of predicting the efficacy of a mutagenic cancer treatment in a subject, the method comprising determining a level of catalytic activity of a DNA repair enzyme in a biological sample of the subject, and, according to said level, predicting the efficacy of the mutagenic anti-cancer treatment in the subject, wherein a level of said activity below a predetermined value is indicative of an increased efficacy of said mutagenic cancer treatment, wherein said DNA repair enzyme is selected from the group consisting of 8-oxoguanine DNA glycosylase (OGG1), AP endonuclease1 (APE1), methylpurine DNA glycosylase (MPG), uracil DNA glycosylase1 (UNG1), uracil DNA glycosylase2 (UNG2), SMUG1, MBD4, mismatch-specific thymine/uracil glycosylase (TDG), enodonuclease III (NTH1), adenine-specific mismatch DNA glycosylase (MYH), 8-oxo-GTPase/8-oxodGTPase (MTH1), dUTPase (DUT), AP endonuclease2 (APE2), deoxyribose phosphate lyase (POLB).
17. The method of claim 16, wherein said mutagenic anti-cancer treatment is selected from the group of chemotherapy and radiotherapy.
18. The method of claim 16, further comprising selecting dosage of said mutagenic anti-cancer treatment for treating the subject.
 This application is a divisional of U.S. patent application Ser. No. 10/469,992 filed on Sep. 16, 2003, which is a National Phase of PCT Patent Application No. PCT/IL02/00231 filed on Mar. 21, 2002, which is a Continuation-In-Part (CIP) of U.S. patent application Ser. No. 09/815,015 filed on Mar. 23, 2001, now abandoned, and which also claims the benefit of priority of U.S. Provisional Patent Application No. 60/303,338 filed on Jul. 9, 2001.
FIELD AND BACKGROUND OF THE INVENTION
 The present invention relates to the field of diagnosis and prognosis. More particularly, the present invention relates to methods of and kits for (i) determining a risk of a subject to develop cancer; (ii) evaluating an effectiveness and preferred dosage of cancer therapy administered to a cancer patient; and (iii) determining a presence of correlation or non-correlation between an activity of at least one DNA repair enzyme and at least one cancer.
 The DNA in each cell of a body is constantly subjected to damage caused by both internal (e.g., reactive oxygen species) and external DNA damaging agents (e.g., sunlight, X- and γ-rays, smoke) (Friedberg, et al., 1995). Most lesions are eliminated from DNA by one of several pathways of DNA repair (Friedberg, et al., 1995, Hanawalt, 1994, Modrich, 1994, Sancar, 1994). When unrepaired DNA lesions are replicated, they cause mutations because of their miscoding nature (Echols and Goodman, 1991, Livneh, et al., 1993, Strauss, 1985). The occurrence of such mutations in critical genes, e.g., oncogenes and tumor suppressor genes, may lead to the development of cancer (Bishop, 1995, Vogelstein and Kinzler, 1993, Weinberg, 1989). Indeed, DNA repair has emerged in recent years as a critical factor in cancer pathogenesis, as a growing number of cancer predisposition syndromes have been shown to be caused by mutations in genes involved in DNA repair and the regulation of genome stability. These include Xeroderma Pigmentosum (Weeda, et al., 1993), Hereditary nonpolyposis colon cancer (Fishel, et al., 1993, Leach, et al., 1993, Modrich, 1994, Parsons, et al., 1993), Ataxia Telangiectasia (Savitsky, et al., 1995), Li-Fraumeni syndrome (Srivastava, et al., 1990), and the BRCA1 (Gowen, et al., 1998, Scully, et al., 1997) and BRCA2 genes (Connor, et al., 1997, Patel, et al., 1998, Sharan, et al., 1997). In these cases, which represent a minority of the cancer cases, gene mutations have caused malfunction, leading to a strong reduction in DNA repair.
 A possible extension of the role of DNA repair in hereditary cancer, would be a role for DNA repair in sporadic cancer. Several studies suggested that inter-individual variability in DNA repair correlates with variation in cancer susceptibility, with low repair correlated to higher cancer risk (Athas, et al., 1991, Helzlsouer, et al., 1996, Jyothish, et al., 1998, Parshad, et al., 1996, Patel, et al., 1997, Sagher, et al., 1988, Wei, et al., 1996, Wei, et al., 1993, Wei, et al., 1994).
 7,8-dihydro-8-oxoguanine (also termed 8-oxoguanine or 8-hydroxyguanine; dubbed 8-OxoG) is formed in DNA by two major pathways: (a) Modification of guanine in DNA by reactive oxygen species formed by intracellular metabolism, oxidative stress, cigarette smoke, or by radiation (Asami, et al., 1997, Gajewski, et al., 1990, Hutchinson, 1985, Leanderson and Tagesson, 1992). (b) Incorporation into DNA by DNA polymerases of 8-oxo-dGTP, which is formed by oxidation of intracellular dGTP (Maki and Sekiguchi, 1992). Once in DNA, 8-oxoG is replicated by DNA polymerases with the misinsertion of dAMP, causing characteristic GC to TA transversions (Shibutani, et al., 1991, Wood, et al., 1990). When the modified dGTP is used as a substrate by DNA polymerases, it is often misinserted opposite an A in the template, causing AT to CG transversions (Pavlov, et al., 1994).
 The major route for removing 8-oxoG from DNA is base excision repair, initiated by 8-oxoguanine DNA N-glycosylase, product of the OGG1 gene (in humans termed also hOGG1; (Aburatani, et al., 1997, Arai, et al., 1997, Bjoras, et al., 1997, Radicella, et al., 1997, Roldan-Arjona, et al., 1997, Rosenquist, et al., 1997). The OGG1 gene was recently knocked-out in mice, such that the effects on carcinogenesis can now be examined in this organism (Klungland, et al., 1999, Minowa, et al., 2000). Expression of the E. coli enzyme in Chinese hamster cells reduced 4-fold the mutagenicity of γ radiation (Laval, 1994), indicating that the repair of 8-oxoG is important in negating the mutagenic activity of γ radiation. The following observations associate OGG1 with cancer: (i) OGG1 was mapped to chromosome 3p25, a site frequently lost in human lung and kidney cancers (Arai, et al., 1997, Audebert, et al., 2000, Ishida, et al., 1999, Lu, et al., 1997, Wikman, et al., 2000). (ii) OGG1 was found to be mutated in 2 out of 25 lung tumors (Chevillard, et al., 1998), and in 4 out of 99 renal tumors (Audebert, et al., 2000). (iii) OGG1 was found to be mutated in a leukemic cell line (Hyun, et al., 2000) and in a gastric cell line (Shinmura, et al., 1998). (iv) Analysis of p53 mutations in human lung, breast, and kidney tumors revealed a substantial occurrence of GC to TA mutations, a mutation type produced by unrepaired 8-oxoG (Hollstein et al., 1996; Hernandez-Boussard, et al., 1999).
 Since preventive measures which reduce the risk of developing cancer, such as, but not limited to, the use of anti-oxidants, diet, avoiding cigarette smoking, refraining from occupational exposure to cancer causing agents, are known and further since periodic testing and therefore early detection of cancer offers improved cure rates, there is a great need for, and it would be highly advantageous to have methods and kits for determining a risk of a subject to develop cancer.
 Since the effectiveness of cancer therapy depends on the sensitivity of cells to genotoxic (mutageic) agents, there is a great need for, and it would be highly advantageous to have methods and kits for evaluating an effectiveness and preferred dosage of cancer therapy administered to a cancer patient.
 There is also a great need for, and it would be highly advantageous to have methods and kits for determining a presence of correlation or non-correlation between an activity of at least one DNA repair enzyme and at least one cancer, so as to allow to determine a risk of a subject to develop cancer and to evaluate an effectiveness and preferred dosage of cancer therapy administered to a cancer patient.
SUMMARY OF THE INVENTION
 According to one aspect of the present invention there is provided method of determining a risk (e.g., odds ratio, relative risk) of a subject to develop cancer, the method comprising determining a level of a parameter indicative of a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject, and, according to the level, determining the risk of the subject to develop the cancer.
 According to another aspect of the present invention there is provided a method of determining a risk of a subject to develop cancer, the method comprising determining (a) a presence or absence of exposure to environmental conditions, such as smoking and occupational exposure to smoke or ionizing radiation, associated with increased risk of developing cancer; and (b) a level of a parameter indicative of a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject; and according to the presence or absence and the level, determining the risk of the subject to develop the cancer.
 According to still another aspect of the present invention there is provided a method of determining a presence of correlation or non-correlation between an activity of at least one DNA repair/damage preventing enzyme and at least one cancer, the method comprising determining a level of a parameter indicative of a level of activity of at least one DNA repair/damage preventing enzyme in tissue derived from a plurality of cancer patients and a plurality of apparently normal individuals, and, according to the level determining the correlation or non-correlation between the activity of the at least one DNA repair/damage preventing enzyme and the at least one cancer.
 According to further features in preferred embodiments of the invention described below, the parameter is selected from the group consisting of a protein level of said DNA repair/damage preventing enzyme, a level of a RNA encoding said DNA repair/damage preventing enzyme and a level of catalytic activity of said DNA repair/damage preventing enzyme.
 According to still further features in the described preferred embodiments the cancer is selected from the group consisting of lung cancer, blood cancers, colorectal cancer, breast cancer, prostate cancer, ovary cancer and head and neck cancer.
 According to still further features in the described preferred embodiments the tissue is selected from the group consisting of blood cells, scraped cells and biopsies.
 According to still further features in the described preferred embodiments the DNA repair/damage preventing enzyme is selected from the group consisting of a DNA N-glycosylase, deoxyribose phosphate lyase and AP endonuclease.
 According to still further features in the described preferred embodiments the DNA N-glycosylase is selected from the group consisting of Uracil DNA glycosylase, hSMUG1, hMBD4, Mismatch-specific thymine/uracil glycosylase, Methylpurine DNA glycosylase, hNTH1, Adenine-specific mismatch DNA glycosylase and 8-oxoguanine DNA glycosylase.
 According to still further features in the described preferred embodiments the risk is expressed as a fold risk increase as is compared to a normal, apparently healthy, population, or a reference control group.
 According to still further features in the described preferred embodiments the risk is expressed in enzyme specific activity units.
 According to still further features in the described preferred embodiments the risk is expressed as a magnitude of a scale.
 According to still further features in the described preferred embodiments determining the level of catalytic activity of the DNA repair/damage preventing enzyme is effected using a DNA substrate having at least one lesion therein.
 According to still further features in the described preferred embodiments the at least one lesion is at a predetermined site in the DNA substrate.
 According to still further features in the described preferred embodiments the lesion is selected from the group consisting of uracil, 5-fluorouracil, 5-hydroxyuracil, isodialuric acid, alloxan, uracil or thymine in U/TpG:5meCpG, uracil (U:G), 3,N4-ethenocytosine, (eC:G), T (T:G), 3-methyladenine, 7-methyladenine, 3-methylguanine, 7-methylguanine, hypoxanthine, 1, N6-ethenoadenine, 1,N2-ethenoguanine, thymine glycol, cytosine glycol, dihydrouracil, formamidopyrimidine urea, adenine from A:G; A:8-oxoG; C:A, 2-hydroxyadenine, 2,5-amino-5-formamidopyrimidine, 7,8-dihydro-8-oxoguanine (also termed 8-oxoguanine) and abasic site.
 According to still further features in the described preferred embodiments the substrate includes at least two different lesions of at least two types.
 According to still further features in the described preferred embodiments the substrate includes a single lesion.
 According to still further features in the described preferred embodiments the substrate includes at least two different lesions of a single type.
 According to still further features in the described preferred embodiments the subject is known to be, or is about to be, exposed to environmental conditions associated with increased risk of developing cancer.
 According to yet another aspect of the present invention there is provided a method of predicting the efficacy of a mutagenic anti-cancer treatment, such as chemotherapy and/or radiotherapy, in a subject, the method comprising determining a level of a factor indicative of a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject, and, according to the level, predicting the efficacy of the mutagenic anti-cancer treatment in the subject.
 According to still another aspect of the present invention there is provided a method of selecting dosage of a mutagenic anti-cancer treatment, such as chemotherapy and/or radiotherapy, for treating a subject, the method comprising determining a level of a factor indicative of a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject, and, according to the level, selecting dosage of the mutagenic anti-cancer treatment for treating the subject.
 According to an additional aspect of the present invention there is provided a kit for determining a level of activity of a DNA repair/damage preventing enzyme in a tissue of a subject, the kit comprising, a package including, contained in sealable containers, a DNA substrate having at least one lesion therein and a reaction buffer.
 According to further features in preferred embodiments of the invention described below, the kit, further comprising test tubes for separating lymphocytes.
 According to still further features in the described preferred embodiments the test tubes are prepackaged with an anti-coagulant.
 According to still further features in the described preferred embodiments the kit further comprising a liquid having a specific gravity selected effective in separating lymphocytes from red blood cells via centrifugation.
 According to still further features in the described preferred embodiments the kit further comprising a solution having osmolarity selected effective in lysing red blood cells.
 According to still further features in the described preferred embodiments the kit further comprising a protein extraction buffer.
 According to still further features in the described preferred embodiments the kit further comprising reagents for conducting protein determinations.
 According to still further features in the described preferred embodiments the kit further comprising a purified DNA repair/damage preventing enzyme, which serves as a control for such activity.
 The present invention successfully addresses the shortcomings of the presently known configurations by providing, methods, kits and reagents useful in determining a risk of a subject to develop cancer and for evaluating an effectiveness and individual dosage of cancer therapy administered to a cancer patient.
BRIEF DESCRIPTION OF THE DRAWINGS
 The invention is herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of the preferred embodiments of the present invention only, and are presented in the cause of providing what is believed to be the most useful and readily understood description of the principles and conceptual aspects of the invention. In this regard, no attempt is made to show structural details of the invention in more detail than is necessary for a fundamental understanding of the invention, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice.
 In the drawings:
 FIG. 1a shows an outline of an OGGA nicking assay according to the present invention. In the assay a 32 base pair synthetic DNA is cleaved at an 8-oxoG lesion (indicated by a circle), generating, after denaturation, a radiolabeled 17-mer. The asterisk represents a radiolabeled phosphate group.
 FIGS. 1b-c represent a time course of the OGGA nicking assay of the present invention, performed under standard conditions, with a protein extract prepared from peripheral blood lymphocytes from a healthy donor. FIG. 1b shows a phosphorimage of the reaction products fractionated by urea-PAGE, and FIG. 1c shows the quantification of the images. GO, the DNA substrate with a site-specific 8-oxoG; G, a control substrate with a G instead of 8-oxoG.
 FIGS. 2a-b show protein titration in the OGGA nicking assay. The assay was performed under standard conditions, with the indicated amounts of protein extract prepared from peripheral blood lymphocytes from a healthy donor. FIG. 2a shows a phosphorimage of the reaction products fractionated by urea-PAGE, and FIG. 2b shows the quantification of the images. GO, the DNA substrate with a site-specific 8-oxoG; G, a control substrate with a G instead of 8-oxoG.
 FIGS. 3a-b show analysis of the specificity of the OGGA nicking assay of the present invention. The assay was performed under standard conditions, except that the reaction mixture contained 2 pmol of radiolabeled substrate containing 8-oxoG, and the indicated amounts of unlabeled competing DNA. FIG. 3a shows a phosphorimage of the reaction products fractionated by urea-PAGE, and FIG. 3b shows the quantification of the images. The protein extract was from a healthy donor Hx, G and GO represent unlabeled competing DNAs, which were similar to the radiolabeled substrate, and contained either hypoxanthine, guanine or 8-oxoG in the same location.
 FIG. 4 shows the OGGA distribution in healthy individuals (i.e., control subjects). The OGGA nicking assay of the present invention was performed with blood samples from 123 healthy donors. OGGA≦5.5 is defined as Low (less than 4% of the control group) OGGA≧5.5 is defined as Normal.
 FIG. 5 shows a comparison of OGGA in males and females. The OGGA distribution of the 123 individuals shown in FIG. 4, was plotted separately for males (N=53) and females (N=70).
 FIG. 6 shows a comparison of OGGA in smokers and non-smokers. The OGGA distribution of the 123 individuals shown in FIG. 4, was plotted separately for smokers (N=35) and non-smokers (N=88).
 FIG. 7 shows a comparison of OGGA in two age groups. The OGGA distribution of the 123 individuals shown in FIG. 4, was plotted separately for ages<50 (N=34) and ≧50 (N=89)
 FIGS. 8a-d show OGGA in apparently healthy individuals and in patients with breast cancer or chronic lymphocytic leukemia (CLL). FIG. 8a--OGGA distribution of a control group of 70 healthy female individuals (see FIG. 5), and of 31 breast cancer patients (FIG. 8b). FIG. 8c--OGGA distribution in the control group of 123 subjects, and 19 CLL patients (FIG. 8d).
 FIGS. 9a-b show OGGA in apparently healthy individuals and in patients with lung cancer (NSCLC). FIG. 9a--OGGA distribution of the control group of 123 healthy individuals (see FIG. 4), and of 102 lung cancer (NSCLC) patients (FIG. 9b).
 FIGS. 10a-b show OGGA in apparently healthy individuals and in lymphoma patients. FIG. 10a--OGGA distribution of the control group of 123 healthy individuals (see FIG. 4), and of 18 lymphoma patients (FIG. 10b).
 FIGS. 11a-b show OGGA in apparently healthy individuals and in patients with colorectal cancer. FIG. 11a--OGGA distribution of the control group of 123 healthy individuals (see FIG. 4), and of 16 colorectal cancer patients (FIG. 11b).
 FIGS. 12a-b are schematic representations of monomolecular (FIG. 12a) and plurimolecular (FIG. 12b) universal substrates in accordance with the teachings of the present invention.
DESCRIPTION OF THE PREFERRED EMBODIMENTS
 The present invention is of methods and kits which can be used for (i) determining a risk (e.g., odds ratio, relative risk) of a subject to develop cancer; (ii) evaluating an effectiveness and dosage of cancer therapy administered to a cancer patient; and (iii) determining a presence of correlation or non-correlation between an activity of at least one DNA repair/damage preventing enzyme and at least one cancer.
 The principles and operation of a method and kit according to the present invention may be better understood with reference to the drawings and accompanying descriptions.
 Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details set forth in the following description or exemplified by the Examples. The invention is capable of other embodiments or of being practiced or carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein is for the purpose of description and should not be regarded as limiting.
 While conceiving the present invention it was hypothesized that inter-individual variations in DNA repair/damage preventing activity modulate susceptibility of developing cancer.
 While reducing the present invention to practice an experimental system which is easily adaptable to clinical use was developed, such that a defined DNA repair activity can now be used in determining cancer risk, and be utilized as a tool in cancer prevention, early detection and prognosis. Since the repertoire of DNA lesions is very large, at present experimental focus was given to an abundant and mutagenic DNA lesion, 8-oxoguanine (also termed 7,8-dihydro 8-oxoguanine or 8-hydroxyguanine; dubbed 8-oxoG). However, other mutagenic DNA lesions, such as, but not limited to, those listed in Table 3 below, can be similarly used to implement the methods of the invention, following suitable adaptation.
 Thus, while reducing the present invention to practice, whether inter-individual variations in the activity of OGG, correlate with increased susceptibility to several types of cancers was studied. A lower repair activity might lead to an increased load of DNA lesions, and therefore to increased mutation rate, and earlier occurrence of cancer. Similarly, a lower repair activity renders cancer cells more susceptible to cancer therapy, which is genotoxic by nature. It should be noted that different types of DNA repair may be critical in different types of cancer. The present invention is exemplified, in a non-limiting fashion, with respect to the removal from DNA of a specific type of mutagenic lesion, 8-oxoG, by the activities of one or more DNA N-glycosylase repair enzymes, present in protein extracts from peripheral blood lymphocytes.
 The present invention is herein exemplified with respect to the use of the level of the DNA repair enzymatic activity of DNA N-glycosylase(s) directed toward 7,8 dihydroxy 8-oxoguanine (8-oxoguanine DNA N-glycosylase activity; OGG), as a risk factor for lung cancer, lymphomas, and colorectal cancer. The enzymatic activity is measured in a protein extract extracted from peripheral blood lymphocytes and is referred to herein interchangeably as the OGGA nicking assay, OGGA assay or OGGA test.
 Using the OGGA test, a case-control study was conducted on 309 individuals: 123 healthy individuals, and a total of 186 cancer patients as follows: 102 lung cancer (NSCLC) patients, 31 breast cancer patients, 18 lymphoma patients, 19 CLL patients, and 16 colorectal cancer patients. The following results were found.
 The mean OGGA in healthy individuals of ages<50 (7.6±0.9; N=34) was slightly higher than in healthy individuals of ages≧50 (7.0±1.0; N=89). The difference is statistically significant (P=0.02).
 The mean OGGA in healthy men (7.3±1.0; N=53) was similar to healthy women (7.1±1.0; N=70), the difference was not statistically significant (P=0.36).
 The mean OGGA in smokers (7.3±1.00; N=35) was similar to that of non-smokers (7.1±1.0; N=88; P=0.46), indicating that the smoking status had a negligible effect on OGGA.
 The mean OGGA in lung cancer patients (6.0±1.5; N=102) was significantly lower than in healthy individuals (7.2±1.0; N=123), with P=0.0001.
 A strong association was found between low OGGA and lung cancer with odds ratio varying from 3.9 (95% CI 1.7-8.6, P=0.0009), to 9.0 (95% CI 3.2-25.0, P=0.0001), depending on the definition of the cutoff level (≦7.3 and ≦5.6, respectively). This indicates that a low OGGA value is a risk factor in lung cancer.
 The mean OGGA in lymphoma patients (6.2±1.8; N=18) was significantly lower than in healthy individuals (7.2±1.0; N=123), with P=0.0001.
 Low repair is defined as OGGA value≦5.5 units/μg protein, representing <4% of the healthy individuals. Normal repair is defined as OGGA>5.5 units/μg protein. After adjustment for age, lymphoma patients were 15 times more likely than the healthy controls to have a low OGGA value (Odds Ratio 15.2; 95% confidence interval, 3.7-62.5). This provides evidence that a low OGGA value is a risk factor in lymphoma.
 The data shows that OGGA was low in 2 out of 16 (12%) colorectal cancer patients (compared to 5/123 i.e., 4.1% among healthy individuals), indicating that low OGGA is a risk factor in colorectal cancer.
 OGGA distribution was normal in breast cancer patients, indicating that OGGA is not a risk factor in this type of cancer.
 It will be appreciated that the OGGA and similar tests for other DNA repair activities can be used for screening individuals for purposes of prevention, early diagnosis and prognosis of cancers. These uses will be described in more detail below.
 The following provides examples:
 (i) Screening for smokers who have low OGGA in order to prevent lung cancer.
 Although 85% of lung cancer patients are smokers, the great majority of smokers deal well with carcinogenic effects of smoking, and does not develop lung cancer. Even among heavy smokers, approximately 90% do not develop the disease (Mattson et al, 1987; Minna et al, 2002). The results presented herein clarifies the fact that the combination of smoking and low OGGA causes a dramatic increase in susceptibility to lung cancer. For example, the estimated risk of 30-years old smokers, with an OGGA value of 3.0, is 221-fold higher than the reference (30-years old non-smokers with an OGGA value of 7.0). For comparison, the estimated risk of 30-years old non-smokers, with an OGGA value of 3.0 is only 12-fold higher than the reference. The simplest explanation for this finding is that smokers with Low OGGA in peripheral blood lymphocytes have a lower OGGA also in their lungs. Having a low repair to start with, smoking causes further overloading of DNA damage, therefore leading to a high cancer risk. This is a classical example in which the risk of developing cancer is a combination of genetic factors (level of DNA repair) and external factors (cigarette smoking). Such individuals may be persuaded to quit smoking. Such a screen will be effective as a preventive means against lung cancer, and will lead eventually to a decrease in the incidence of lung cancer.
 (ii) Avoiding occupational hazard.
 A considerable amount of people work in places which deal with radiation or with smoke. These include radiology departments in hospitals, nuclear industry, nuclear reactors, army personal dealing with nuclear weapons, etc. These people can be tested for OGGA, as a mandatory test, for their own safety. Individuals with Low OGGA might have an increased probability of developing cancer in such places, since ionizing radiation and smoke each produce 8-oxoG. Such individuals will be advised to seek an alternative working environment.
 (iii) Using the OGGA value as a prognostic marker for cancer therapy. Cancer therapy relies heavily on chemicals and radiation. These agents act, in most cases, by inflicting massive DNA damage, which leads to selective killing of the rapidly dividing cancer cells. The problem with such therapeutic agents is that they damage, or kill, also non-cancer cells. Knowing the level of OGGA in a cancer patient, may be used as a marker to estimate the prognosis of a particular therapeutic treatment.
 (iv) Screening for susceptibility to lymphoma or colorectal cancers.
 OGGA can be used to screen individuals for susceptibility to lymphomas or colorectal cancer.
 (v) Early detection of cancer.
 Individuals with low OGGA (e.g., smokers with low OGGA who would not quit smoking) can be advised to undergo periodical follow-ups, in order to enable early detection of lung cancer.
 Thus, according to one aspect of the present invention there is provided a method of determining a risk of a subject to develop cancer. The method according to this aspect of the present invention is effected by determining a level of a factor indicative of a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject, and, according to the level, determining the risk of the subject to develop the cancer.
 As used herein throughout the term "indicative of" includes correlating to.
 According to another aspect of the present invention there is provided a method of determining a risk of a subject to develop cancer. The method according to this aspect of the present invention is effected by determining a presence or absence of exposure to environmental conditions, such as smoking and occupational exposure to smoke or ionizing radiation, associated with increased risk of developing cancer; and determining a level of a factor indicative of a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject; and according to the presence or absence and the level, determining the risk of the subject to develop the cancer.
 Anyone of several approaches may be exploited according to the present invention in determining a level of a factor indicative of a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject.
 According to one embodiment a protein level of the DNA repair/damage preventing enzyme is determined, which is indicative of the level of activity of the DNA repair/damage preventing enzyme. Several alternative quantitative assays are available for determining protein levels. Each of which is based on the specific interactions between proteins and antibodies specific thereto. Table 1 below lists known antibodies recognizing different DNA repair/damage preventing enzyme.
TABLE-US-00001 TABLE 1 Enzyme Antibody Source/Reference 1. Uracil DNA PU101 Slupphaug et al., 1995.sup.(1) glycosylase (UNG) 2. 8-oxoguanine AB1a331 Monden et al., 1999.sup.(2) glycosylase (OGG1) Anti-human OGG1 Alexis Biochemicals 3. Adenine mismatch Anti-hMYH α 344 Parker et al., 2000.sup.(3) glycosylase (MYH) Anti-hMYH α 516 Parker et al., 2000.sup.(3) 4. 8-oxodGTPase Anti-M78 Kang et al., 1995.sup.(4) (MTH1) 5. dUTPase (DUT) DUT415 Ladner et al., 1997.sup.(5) 6. AP endonuclease I Ref-1 (H-300), Ref-1 Santa Cruz (HAP1, APE1, (C-20), Ref-1 (N-16), Biotechnology REF1, APEX) Ref-1 (E-17) 7. Deoxyribose mAb-10S Srivastava et al., 1995.sup.(6) phosphate lyase (of 18S mAb Srivastava et al., 1999.sup.(7) DNA polymerase β) .sup.(1)Slupphaug, G., Eftedal, I., Kavli, B., Bharati, S., Helle, N. M., Haug, T., Levine, D. W., Krokan, H. E. (1995) Properties of a recombinant human uracil-DNA glycosylase from the UNG gene and evidence that UNG encodes the major uracil-DNA glycosylase. Biochemistry 34, 128-138. .sup.(2)Monden, Y., Arai, T., Asano, M., Ohtsuka, E., Aburatani, H., Nishimura, S. (1999) Human MMH (OGG1) type 1a protein is a major enzyme for repair of 8-hydroxyguanine lesions in human cells. Biochem. Biophys. Res. Comm. 258, 605-610. .sup.(3)Parker, A., Gu, Y. and Lu, A. -L. (2000) Purification and characterization of a mammalian homolog of Escherichia coli MutY mismatch repair protein from calf liver mitochondria. Nucleic Acids Res. 28, 3206-3215. .sup.(4)Kang, D., Nishida, J., Iyama, A., Nakabeppu, Y., Furuichi, M., Fujiwara, T., Sekiguchi, M. and Takeshige, K. (1995) Intracellular localization of 8-oxo-dGTPase in human cells, with special reference to the role of the enzyme in mitochondria. J. Biol. Chem. 270, 14659-14665. .sup.(5)Ladner, R. D. and Caradonna, S. J. (1997) The human dUTPase gene encodes both nuclear and mitochondrial isoforms. J. Biol. Chem. 272 19072-19080. .sup.(6)Srivastava, D. K., Rawson, T. Y., Showalter, S. D. and Wilson, S. H. (1995) Phorbol ester abrogates up-regulation of DNA polymerase β by DNA-alkylating agents in Chinese hamster ovary cells. J. Biol. Chem. 270, 16402-16408. .sup.(7)Srivastava, D. K., Husain, I., Arteaga, C. L. and Wilson, S. H. (1999) DNA polymerase β expression differences in selected human tumor cell lines. Carcinogenesis 20, 1049-1054.
 Antibodies recognizing any specific protein can be readily elicited using methods well known in the art in which cells of an immune system are exposed in vivo or in vitro to at least one epitope of the protein of interest, preferably a plurality of epitopes thereof. Such antibodies can be polyclonal or monoclonal. Commercial antibody developing services are available throughout the world. Examples include: Antibody Solutions, Palo Alto, Calif., Washington Biotechnology Inc., Baltimore, Md.; TNB Laboratories Inc., St. John's, Newfoundland, Canada; and Genemed Synthesis Inc., South San Francisco, Calif.
 Such antibodies can be used in a variety of well known antibody based detection assays, including, but not limited to, Western blot, ELISA, a protein chip assay and an antibody chip assay.
 In Western blot, total protein preparation is electrophoresed typically under denaturing and optionally under reducing conditions through a gel, typically a polyacrylamide gel. Then, the proteins are blotted onto a membrane, which is thereafter blocked by a non-specific protein, such as milk proteins. An antibody specific to the protein of interest is then interacted with the blot. The antibody will quantitatively bind to the protein of interest. The binding between the antibody and the protein of interest can be monitored by either directly labeling the antibody, or, preferably using a labeled secondary antibody capable of recognizing the first.
 In ELISA the antibody capable of binding the protein of interest is linked to an enzyme capable of catalyzing a colorimetric reaction, which serves for quantitative detection.
 In a protein chip assay, the protein of interest, typically a plurality of different proteins of interest, are linked to a solid support in addressable positions, so as to form a matrix of proteins. An antibody or several antibodies specific to certain proteins, each being labeled by a distinguishable label, are interacted with the support in the presence of proteins derived from a biological sample. A protein recognized by an antibody and which is present in the biological sample will compete with its solid support bound counterpart, such that the level of binding of the antibody to the respective addressable location on the support, is determinable by such competition for binding.
 In an antibody chip assay, antibodies are linked to a solid support in addressable positions, so as to form a matrix of antibodies each capable of binding a different protein. Proteins derived from a biological sample are labeled and the labeled proteins are interacted with the solid support. The level of binding to the solid support is determined, being indicative of the level of the protein in the sample.
 These assays are well known and are well described in the art literature. Further details are available in, for example, "Current Protocols in Immunology" Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), "Basic and Clinical Immunology" (8th Edition), Appleton & Lange, Norwalk, Conn. (1994); Mishell and Shiigi (eds), "Selected Methods in Cellular Immunology", W.H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; "Immobilized Cells and Enzymes" IRL Press, (1986); "Methods in Enzymology" Vol. 1-317, Academic Press; Marshak et al., "Strategies for Protein Purification and Characterization--A Laboratory Course Manual" CSHL Press (1996).
 According to another embodiment of the present invention the level of a RNA, such as mRNA, encoding the DNA repair/damage preventing enzyme is determined, which is also indicative of the level of activity of the DNA repair/damage preventing enzyme. Several alternative quantitative assays are available for determining RNA levels. Each of which is based on the specific interactions between complementary nucleic acids. Table 2 below lists the human genes encoding DNA repair/damage preventing enzyme.
TABLE-US-00002 TABLE 2 Accession GI No. Enzyme Gene (SEQ ID NO:) No. (NCBI) 1. Uracil DNA UNG (3) NM_003362 6224978 glycosylase 2. SMUG1 SMUG1 (4) NM_014311 7657596 3. MBD4 MBD4 (5) NM_003925 4505120 4. Thymine TDG (6) NM_003211 4507422 glycosylase 5. Methylpurine MPG (7) NM_002434 4505232 glycosylase 6. Endonuclease III NTH1 (8) NM_002528 6224977 human homolog 7. Adenine mismatch MYH (9) NM_012222 6912519 glycosylase 8. 8-oxoguanine OGG1 (10) NM_002542 7949101 glycosylase 9. 8-oxodGTPase MTH1, NUDT1 (11) NM_002452 4505274 10. dUTPase DUT (12) NM_001948 4503422 11. AP endonuclease I APE1, HAP1. NM_001641 4502136 APEX, REF1 (13) 12. Deoxyribose POLB (14) NM_002690 4505930 phosphate lyase (of DNA polymerase β)
 Yet undescribed human genes of DNA repair/damage preventing enzyme can nowadays be readily isolated using in-silico searches, since the majority (nearly all) of the coding sequences of the human genome have been cloned and sequenced. Traditional methods of gene isolation can also be exploited as is further described in the list of references provided hereinbelow.
 Based on gene sequences, Northern blot, quantitative RNA PCR (also known as quantitative RT-PCR), RNA dot blot and nucleic acid chip assays can be readily developed and used to determine the level of a specific RNA, such as mRNA, in a biological sample. Further details concerning these assays are available in, for example, "Molecular Cloning: A laboratory Manual" Sambrook et al., (1989); "Current Protocols in Molecular Biology" Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., "Current Protocols in Molecular Biology", John Wiley and Sons, Baltimore, Md. (1989); Perbal, "A Practical Guide to Molecular Cloning", John Wiley & Sons, New York (1988); Watson et al., "Recombinant DNA", Scientific American Books, New York; Birren et al. (eds) "Genome Analysis: A Laboratory Manual Series", Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); "Oligonucleotide Synthesis" Gait, M. J., ed. (1984); "Nucleic Acid Hybridization" Hames, B. D., and Higgins S. J., eds. (1985); "Transcription and Translation" Hames, B. D., and Higgins S. J., eds. (1984); "PCR Protocols: A Guide To Methods And Applications", Academic Press, San Diego, Calif. (1990).
 In an alternative embodiment, and as is further described in detail below and exemplified by the Examples section that follows, the factor which is determined is the catalytic activity per se of the DNA repair/damage preventing enzyme.
 The present invention is useful in determining a risk of a subject to develop cancer, whereby any type of cancer is subject to risk determination by way of implementing the method of the invention. It is well known that all cancers arise from DNA mutations and that the progress of a specific cancer from a primary tumor to a metastatic tumor, reflects clonal selection of cancer cells that accumulate mutations as they develop and turn more cancerous (e.g., proliferate more rapidly, escape proliferation control, acquire autosignalling behavior, induce angiogenesis, etc.) and more metastatic. This process is subject to variations depending on the specific genes involved in the development and progression of different cancers. It is therefore expected that different in vivo DNA repair/damage preventing activities are required to prevent the formation of different cancers. Also, the level of exposure of body tissues to genotoxic agents such as smoke and radiation, differs. Since different types of genotoxic agents cause different types of DNA lesions, it is again expected that different in vivo DNA repair/damage preventing activities are required to prevent the formation of different cancers.
 The results obtained while reducing the present invention to practice are in agreement with the above, as low OGGA was found to be associated with some, but not all cancers tested. However, assays similar to the OGGA assay described herein can be readily developed for correlating other cancers with one or more DNA lesions, some of which are listed in Table 3 below.
 In effect, all known cancers can be evaluated by finding correlation or non-correlation between the occurrence thereof and the occurrence of low DNA repair/damage preventing activity of certain types. When positive correlation is identified, a predictive risk determination assay can be readily implemented.
 Thus, according to an aspect of the present invention there is provided a method of determining a presence of correlation or non-correlation between an activity of at least one DNA repair/damage preventing enzyme and at least one cancer. The method according to this aspect of the invention is effected by determining a level of activity of at least one DNA repair/damage preventing enzyme in tissue derived from a plurality of cancer patients and a plurality of apparently normal individuals, and, according to the level determining the correlation or non-correlation between the activity of the at least one DNA repair/damage preventing enzyme and the at least one cancer. This aspect of the invention is exemplified herein with respect to a single DNA repair enzyme activity (8-oxoguanine DNA glycosylase) using a suitable substrate having a single lesion therein, for a plurality of cancers, for some correlation was found, whereas for other, non-correlation was found.
 Thus, the methods of determining a risk of a subject to develop cancer described herein can be implemented for a variety of cancers, including, but not limited to, lung cancers, e.g., small-cells lung cancer and non-small cells lung cancer, blood cancers, e.g., lymphomas and leukemias, including, for example, Hodgkin's lymphoma, non-Hodgkin's lymphoma, acute lymphocytic leukemia, acute myelocytic leukemia, chronic lymphocytic leukemia, chronic myelogenous leukemia and the like, colorectal cancer, breast cancer, prostate cancer, ovary cancer, malignant melanoma, stomach cancer, pancreas cancer, urinary cancer; uterus cancer, bone cancer, liver cancer, thyroid cancer, brain cancer; head and neck cancer, including, for example, salivary carcinoma and laryngeal carcinoma.
 DNA repair/damage preventing activity can be measured in extracts of different body tissues or cells, which may be collected from a testee by known methods. Blood cells, scraped cells (e.g., mouth or skin scrapes) and biopsies are good examples as such tissues are routinely removed from subjects for diagnostics.
 Several types of DNA repair/damage preventing activities can be assayed according to the present invention, e.g., DNA N-glycosylase, nucleotide pool sanitizing activity (dNTPase activity, e.g., 8-oxodGTPase), AP endonuclease and deoxyribose phosphate lyase (of DNA polymerase β).
 An assay for determining the activity of a DNA N-glycosylase is described and exemplified herein with respect to 8-oxoguanine DNA glycosylase. In this respect it is convenient to monitor the nicking activity of DNA N-glycosylase towards DNA substrates including one or more lesion.
 An assay for monitoring the activity of 8-oxodGTPase is, for example, as described by Mo et al. [Mo, J.-Y., Maki, H. and Sekiguchi, M. (1992) Proc. Natl. Acad. Sci. USA 89, 11021-11025]. Thus, 8-oxodGTPase activity can be assayed by measuring the hydrolysis of α-32P-labeled 8-oxodGTP to 8-oxodGMP. The reaction mixture (12.5 μl) contains 20 mM Tris-HCl (pH 8.0), 4 mM MgCl2, 40 mM NaCl, 20 μM α-32P-labeled 8-oxodGTP, 80 μg/ml bovine serum albumin, 8 mM dithiothreitol, 10% glycerol, and a protein extract. The reaction is executed at 30° C. for 20 minutes. Thereafter, an aliquot (2 μl) from the reaction mixture is spotted onto a PEI-cellulose TLC plate, and the mixture is fractionated with a solution containing 1 M LiCl for 1 hour. The spots on the TLC plate are then visualized and quantified by phosphorimaging. The preparation of 8-oxodGTP is described in Mo et al., ibid.
 An assay for monitoring the activity of AP endonuclease is, for example, as described by Wilson III, et al. [Wilson III, D. M., Takeshita, M., Grollman, A. P., Demple B. (1995) Incision activity of human apurinic endonuclease (Ape) at abasic site analogs in DNA. J. Biol. Chem. 270, 16002-16007]. The reaction mixture (10 μl) contains 50 mM Hepes-KOH pH 7.5, 50 mM KCl, 100 μg/ml bovine serum albumin, 10 mM MgCl2, 0.05% Triton X-100, 2 pmol of a the DNA substrate and a protein extract. Reactions are performed at 37° C. for 5-30 minutes, after which the reaction products are fractionated by urea-PAGE, to separate the intact and incised DNA strands. The activity is deduced from the extent of cleavage of the substrate. The preparation of the substrate is described in the same reference (Wilson III et al., ibid.).
 An assay for monitoring the activity of deoxyribose phosphate lyase (dRPase) is, for example, as described by Prasad et al. [Prasad, R., Beard, W. A., Strauss, P. R. and Wilson, S. H. (1998) Human DNA polymerase β deoxyribose phosphate lyase. Substrate specificity and catalytic mechanism. J. Biol. Chem. 273, 15263-15270]. Deoxyribose phosphate lyase (dRPase) activity can be assayed by following the removal of deoxyribose phosphate from a 32P 3' end-labeled duplex oligonucleotide containing a site-specific 5'-incised abasic site. The reaction mixture (10 μl) contains 50 mM Hepes pH 7.4, 2 mM dithiothreitol, 5 mM MgCl2, 20 nM 32P-labeled duplex oligonucleotide with a site specific abasic site (pre-incised at the 5' with AP endonuclease), and a protein extract. The reaction is carried out at 37° C. for 15 minutes. After the reaction is terminated, the product is stabilized by the addition of NaBH4 to a final concentration of 340 mM, and incubated for 30 minutes at 0° C. The DNA is then ethanol precipitated and fractionated by urea-PAGE. The activity of the dRPase is deduced from the extent of formation of the shorter reaction product. The preparation of the DNA substrate is described in the same reference (Prasad et al., ibid.).
 Table 3 below lists examples of DNA repair enzymes, the genes encoding same and the DNA lesion(s) they recognize:
TABLE-US-00003 TABLE 3 Enzyme Gene Substrate 1. Uracil DNA glycosylase UNG1,2 uracil, 5-fluorouracil, 5-hydroxyuracil isodialuric acid, alloxan 2. hSMUG1 hSMUG1 uracil 3. hMBD4 hMBD4 U or T in U/TpG:5meCpG 4. Mismatch-specific thymine/uracil TDG uracil (U:G), 3,N4-ethenocytosine DNA glycosylase (eC:G), T (T:G) 5. Methylpurine DNA glycosylase MPG (ANPG, Aag) 3-methyladenine, 7-methyladenine, 3-methylguanine, 7-methylguanine 8-oxoguanine, hypoxanthine, 1, N6-ethenoadenine, 1,N2-ethenoguanine 6. hNTH1 (human enodonuclease III hNTH1 thymine glycol, cytosine glycol, ehomolog) dihydrouracil, formamidopyrimidine urea 7. Adenine-specific mismatch DNA hMYH A from A:G; A:8-oxoG; C:A glycosylase (human mutY homolog) 2-hydroxyadenine 8. 8-oxoguanine DNA glycosylase hOGG1 2,5-amino-5-formamidopyrimidine 7,8-dihydro-8-oxoguanine 9. 8-oxo-GTPase/8-oxodGTPase hMTH1 (NUDT1) 8-oxo-GTP, 8-oxo-dGTP (Human MutT homolog) 10. dUTPase hDUT dUTP 11. AP endonuclease APE1/APE2 abasic site 12. Deoxyribose phosphate lyase POLB Incised abasic site Enzymes 1-8 are DNA glycosylases; Enzymes 9 and 10 hydrolyze damaged or unnatural dNTPs, thereby preventing their incorporation into DNA during DNA synthesis. Further details concerning mammalian DNA repair genes and activity can be found in Krokan et al. (2000) FEBS Letters 476: 73-77; and Wood et al. (2001) Science 291: 1284-1289, both are incorporated herein by reference.
 The risk according to the present invention can be expressed in one of a plurality of ways. In one example the risk is expressed as a fold risk increase in developing cancer as is compared to a normal, apparently healthy, population, or a reference control group. In another example, the risk is expressed in enzyme specific activity units. In another example, a linear or logarithmic risk scale is generated for either the "fold risk increase" or the "activity units" and the risk is expressed as a magnitude of the scale.
 According to still further features in the described preferred embodiments determining the level of activity of the DNA repair/damage preventing enzyme is effected using a DNA substrate having at least one lesion therein.
 As is schematically exemplified by FIGS. 12a-b, a monomolecular (MMS, FIG. 12a) or plurimolecular (PMS, FIG. 12b) universal substrate can also be generated and used while implementing the methods and kits of the present invention. Such a universal substrate is used according to the present invention to simultaneously determine the activity of more than a single DNA repair/damage preventing enzyme. Thus, a universal substrate of the invention includes at least two (four are shown in FIGS. 12a-b identified by L1-L4) different DNA lesions specifically recognized by at least two different DNA repair enzymes. Careful selection of the positions of the different DNA lesions along the universal substrate, can be used to ensure the generation of distinguishable (e.g., size distinguishable) reaction products (P1-P10 in FIG. 12a, P11-14 in FIG. 12b), being indicative of the activity of the different DNA repair enzymes. In order to ensure accuracy, the lesions are selected to be unique to the activities tested. The length of the universal substrate, especially for a monomolecular substrate, which preferably includes labels along its length, is selected such that reciprocal reaction products are substantially longer than all of the reaction products to be analyzed (P1-P10 in FIG. 12a). End labeling can be used in the case of a plurimolecular substrate to circumvent this problem altogether. Thus, the length of a substrate according to the present invention, without limitation, can range between 10 base pairs and several hundreds base pairs.
 A substrate of the invention can thus have at least one lesion of at least one type or at least one lesion of at least two types (universal substrate), the lesions preferably being positioned at predetermined site(s) in the DNA substrate. The lesion(s) can be of any type, including, but not limited to, uracil, 5-fluorouracil, 5-hydroxyuracil, isodialuric acid, alloxan, uracil or thymine in U/TpG:5meCpG, uracil (U:G), 3,N4-ethenocytosine, (eC:G), T (T:G), 3-methyladenine, 7-methyladenine, 3-methylguanine, 7-methylguanine, hypoxanthine, 1, N6-ethenoadenine, 1,N2-ethenoguanine, thymine glycol, cytosine glycol, dihydrouracil, formamidopyrimidine urea, adenine from A:G; A:8-oxoG; C:A, 2-hydroxyadenine, 2,5-amino-5-formamidopyrimidine, 7,8-dihydro-8-oxoguanine and abasic site.
 A lesion can be introduced at a unique and defined location (site) in a DNA molecule using solid phase DNA synthesis, using in sequence the four conventional phosphoramidite building blocks used in the synthesis of oligodeoxynucleotides and additional at least one modified phosphoramidite building block, which when introduced into the DNA introduces a lesion therein, which lesion is recognizable by a DNA repair enzyme. In the alternative, a DNA molecule is exposed to a mutagenic agent (e.g., an oxidative agent or UV radiation) which forms one or more lesion of one or more types therein. Even when using this method, one can select a presubstrate which will result in a product (substrate of the invention) in which the lesions are non-randomly distributed, since the extent by which a specific lesion is formed in DNA is often dependent on the DNA sequence.
 Other alternatives also exist. For example, one can oxidize a plasmid DNA with an oxidizing agent. This will form several lesions in the plasmid DNA. One can now use this plasmid DNA to assay a repair enzyme that acts on this DNA, without knowing precisely where the lesions are. The enzyme will produce a nick in the DNA, and this will convert the plasmid from the supercoiled closed form to the nicked (open circular) form. These two can be easily distinguished by gel electrophoresis or gradient centrifugation. In another example a piece of DNA is enzymatically synthesized in the presence of lesioned building blocks. Other alternatives are also known, such as chemical deamination, etc.
 Thus, the substrate of the present invention can include at least two different lesions of at least two types, a single lesion, or at least two different lesions of a single type.
 A cancer risk determination test according to the present invention is specifically advantageous for a subject which is known to be, or is about to be, exposed to environmental conditions associated with increased risk of developing cancer, such as smoking and occupational exposure to smoke, ionizing radiation and other carcinogens.
 As is discussed hereinabove, the effectiveness of cancer therapy is due to its genotoxic effect affecting cancer cells more than normal cells. Thus, according to another aspect of the present invention there is provided a method of predicting the efficacy of a mutagenic anti-cancer treatment, such as chemotherapy and/or radiotherapy, in a subject. The method according to this aspect of the invention is effected by determining a level of activity of a DNA repair enzyme in a tissue of the subject, and, according to the level, predicting the efficacy of the mutagenic anti-cancer treatment in the subject.
 Anti cancer therapy dosage can also be individually optimized in view of the teachings of the present invention. Thus, according to still another aspect of the present invention there is provided a method of selecting dosage of a mutagenic anti-cancer treatment, such as chemotherapy and/or radiotherapy, for treating a subject. The method according to this aspect of the invention is effected by determining a level of activity of a DNA repair/damage preventing enzyme in a tissue of the subject, and, according to the level, selecting dosage of the mutagenic anti-cancer treatment for treating the subject. In this case, the tissue is preferably a biopsy derived from the cancer itself.
 According to an additional aspect of the present invention there is provided a kit for determining a level of activity of a DNA repair/damage preventing enzyme in a tissue of a subject. In its minimal configuration, the kit includes, a package including, contained in sealable containers, a DNA substrate having at least one lesion therein and a reaction buffer selected suitable for supporting DNA repair activity. Preferably, the kit also includes test tubes for separating lymphocytes. Preferably, the test tubes are prepackaged with an anti-coagulant, such as, but not limited to, heparin. Still preferably, the kit further includes a liquid having a specific gravity selected effective in separating lymphocytes from red blood cells via centrifugation, e.g., Ficoll contained in lymphocytes isolation tubes. Advantageously, the kit includes a solution having osmolarity selected effective in lysing red blood cells. In a preferred embodiment of the invention a protein extraction buffer is also included in the kit. Preferably, the kit further includes reagents for conducting protein determinations, e.g., reagents included in the BCA kit by Pierce. Still preferably, the kit includes a purified DNA repair enzyme, which serves as a control for such activity.
 Additional objects, advantages, and novel features of the present invention will become apparent to one ordinarily skilled in the art upon examination of the following examples, which are not intended to be limiting. Additionally, each of the various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below finds experimental support in the following examples.
 Reference is now made to the following examples, which together with the above descriptions, illustrate the invention in a non limiting fashion.
Materials and Experimental Methods
 DNA substrates: The DNA substrate was prepared by annealing two complementary synthetic oligonucleotides, 32-bases long each. They were synthesized by the Synthesis Unit of the Biological Services Department at the Weizmann Institute of Science. The oligonucleotide containing 8-oxoG had the sequence 5'-CCGGTGCATGACACTGTOACC TATCCTCAGCG-3' (SEQ ID NO:1) (0=8-oxoG). The 8-oxoG phosphoramidite building block was purchased from Glen Research. The oligonucleotide was 32P-labeled using T4 polynucleotide kinase, and annealed to the oligonucleotide 5'-CGCTGAGGATAGGTCACAGTGTCATGCA CCGG-3' (SEQ ID NO:2). The radiolabeled duplex was purified by PAGE on a native 10% gel. Its concentration was determined by the PicoGreen dsDNA quantitation assay (Molecular Probes).
 Blood samples: Large blood samples were obtained from the blood bank in the Sheba Medical Center. Samples of 10 ml peripheral blood were obtained from healthy donors or from cancer patients. Those were collected after obtaining permission from the Institutional Helsinki Committee.
 Isolation of peripheral lymphocytes: The blood samples were processed 18-24 hours after collection. A 100 μl aliquot from each sample of whole blood was analyzed using a Cobas Micros (Roche Diagnostic System) blood counter. Ten ml PBS (Dulbecco's phosphate buffered saline, Sigma) were added to the remaining blood portion, and peripheral blood lymphocytes were isolated by density gradient centrifugation of the diluted whole blood on a polysucrose-sodium metrizoate medium in UNI-SEP tube (NOVAmed, Jerusalem, Israel). Centrifugation was performed at 1,000×g for 30 minutes at 20° C.
 Following centrifugation the lymphocyte band was removed and washed with PBS buffer. Elimination of red blood cells was done by lysis in 5 ml of 155 mM NH4Cl; 0.01 M KHCO3; 0.1 mM EDTA for 4 minutes at room-temperature. The lymphocytes were washed with PBS, and suspended in 1 ml PBS. The number of white blood cells in this suspension was determined using a Cobas Micros (Roche Diagnostic System) blood counter.
 Samples containing 1-4×106 cells were precipitated by centrifugation at 5,000 rpm, for 4 minutes at room temperature. The cells pellet was then resuspended to a concentration of 20,000 cells/μl in 50 mM Tris.HCl (pH 7.1), 1 mM EDTA, 0.5 mM DTT, 0.5 mM spermidine, 0.5 mM spermine, and a protease inhibitor cocktail (Sigma). The cells were incubated on ice for 30 minutes, after which they were frozen in liquid nitrogen. The frozen lymphocytes were stored at -80° C.
 Preparation of a Protein Extract: the Frozen Lymphocytes were Thawed at 30° C., after which their protein content was extracted with 220 mM KCl, for 30 minutes on ice. Cell debris was removed by centrifugation at 13,200 rpm for 15 minutes at 4° C. Glycerol was added to the protein extract to a final concentration of 10%, and the extract was frozen in liquid nitrogen. Protein concentration was determined by the BCA assay kit (Pierce) using bovine γ-globulin as a standard.
 Standard analysis of OGG activity: The reaction mixture (20 μl) contained 50 mM Tris.HCl (pH 7.1), 1 mM EDTA, 115 mM KCl, 20 μg bovine γ-globulin, 2 pmol PolydA.polydT, 0.5 pmol substrate and 8-12 μg protein extract. The reaction was carried out at 37° C. for 30 minutes, after which it was stopped by the addition of 15 mM EDTA, 0.2% SDS. The proteins were degraded by incubation with proteinase K (20 μg) for one hour at 37° C., after which they were treated with 80 mM NaOH for 30 minutes at 37° C. The denatured DNA products were analyzed by electrophoresis on a 15% polyacrylamide gel containing 8 M urea, in 89 mM Tris.borate, 2.5 mM EDTA pH 8.0, at 1,500 V for 2 hours at 45-50° C. The distribution of radiolabeled DNA products was visualized and quantified using a Fuji BAS 2500 phosphorimager. One unit of OGG activity is defined herein to cleave 1 fmol of DNA substrate in 1 hour at 37° C., under the standard reaction conditions described herein. In the following, OGGA is presented as specific activity, i.e., activity units/1 μg of total protein extract.
 Statistical analysis: A 3-way ANOVA was employed for healthy subject to compare mean OGGA values, with gender, age (≧50, ≦50), and smoking status as fixed effects.
 Student's t-test was used to compare the mean OGGA values, analyzed as a continuous variable, between adenocarcinoma and squamous cell carcinoma patients.
 To neutralize possible effects on OGGA means originating from the difference in mean age between the cases and controls, OGGA means were compared using ANCOVA, with age (treated as a continuous variable) as a covariate. This analysis was possible since no significant interaction was found between age and health conditions.
 Associations were calculated using Fisher's exact test, and Odds ratios (OR) were calculated from a 2×2 table. Adjusted ORs and CI values were calculated by fitting logistic regression models with adjustment for age, sex and smoking status for lung cancer; and adjustment for age only, for lymphoma. OGGA values were analyzed as a continuous variable or as a dichotomized variable at values corresponding to 4% (OGGA cutoff at 5.5), 5% (OGGA cutoff at 5.6), 10% (OGGA cutoff at 5.9), 15% (OGGA cutoff at 6.2), 25% (OGGA cutoff at 6.4) or 50% (OGGA cutoff at 7.3) of the control group. Age was analyzed as a continuous variable, whereas gender and smoking status were analyzed as dichotomic variables.
 Odds Ratio (OR) were calculated by the formula (Kleinbaum, 1994)
OR X 1 - X 0 = i = 1 k b i ( X 1 i - X 0 i ) ##EQU00001##
using the bi estimates from the logistic regression model where OGGA values were analyzed as a continuous variable (bOGGA=-0.624; bage=0.1; bsmoker=2.9). For example, X0, the reference, was used to represent non-smoking, 30 years-old individuals with an OGGA value of 7.0, and Xi was used to represent the tested subject group. Thus the formula for the current model is:
where OGGAi and Agei are the OGGA value and age of individual i, and Si is either 1 or zero, for a smoker or a non smoker, respectively. All the statistical analyses were performed using SAS software (version 6.12; SAS Institute Inc., Cary, N.C.).
 The OGG activity (OGGA) DNA repair test: Base excision repair (BER) is initiated by a DNA N-glycosylase, that releases the damaged or unusual base from DNA, generating an abasic site. The latter is then repaired by an AP endonuclease (APE/HAP1) and/or the lyase activity of the glycosylase, as well as the deoxyribose phosphate lyase (dRPase) activity of DNA polymerase β. The resulting gap is filled-in by DNA polymerase β, forming a patch of 1-3 nucleotides, followed by ligation (Dianov, et al., 1992, Singhal, et al., 1995). A long patch pathway of BER was identified which requires also PCNA, and the FEN-1 flap endonuclease (Fortini, et al., 1998, Kim, et al., 1998). It was reported that 8-oxoG can be repaired in cell extracts also by nucleotide excision repair (Reardon, et al., 1997), however, the in vivo significance of this finding is not clear (Runger, et al., 1995). In addition, it was reported that there is transcription-coupled repair of 8-oxoG, and that it required the XPG, TFIIH and CSB (Le Page, et al., 2000), and the BRCA1 and BRCA2 proteins (Le Page, et al., 2000).
 While reducing the present invention to practice, an assay was developed for OGG activity (the OGGA test), using as substrate a 32P end-labeled synthetic oligonucleotide, 32-base pairs long, carrying a site-specific 8-oxoG. The source of the OGG activity was a protein extract prepared from human peripheral blood lymphocytes (PBL), obtained by Ficoll fractionation from 10 ml blood samples. A protein extract was prepared from the lymphocytes by freeze-thaw, followed by salt extraction. The removal of 8-oxoG from the oligonucleotide, by the OGG activity in the extract, generates an abasic site, which was rapidly incised either by the AP lyase activity of the enzyme, or by AP endonucleases present in the extract. Alkali treatment, which breaks abasic sites, was performed after the incubation with the extract in order to ensure complete cleavage of the abasic site, such that only OGG activity is measured in the test. Analysis by urea-PAGE followed by phosphorimaging was used to quantify the extent of nicking, indicated by the formation of a shorter radiolabeled DNA fragment, 17 nucleotides long (FIG. 1a). The OGG activity level (OGGA value) is measured as specific activity, i.e., units of OGG activity/1 μg of protein extract. One unit of OGG activity cleaves 1 fmol of DNA substrate in 1 hour at 37° C., under standard reaction conditions.
 FIGS. 1b-c and 2a-b show a time course and a titration of OGG activity, respectively, in lymphocyte extracts. The activity was dependent on the presence of 8-oxoG in the DNA substrate. No activity was observed when the DNA contained a G instead of the 8-oxoG. This observed activity is mostly due to the OGG1 enzyme, which was shown to be responsible for most of OGG activity in extracts prepared from human cells (Monden, et al., 1999). The existence of OGG2, a second OGG enzyme was reported. However, its activity was much lower than OGG1 in whole cell extracts (Hazra, et al., 1998). In addition to OGG, APNG (alkylpurine DNA N-glycosylase), also termed Aag (alkyladenine DNA glycosylase), or MPG (N-methylpurine glycosylase), was reported to act on 8-oxoG (Bessho, et al., 1993) but this finding was challenged in Hang, et al. (1997). In vivo this protein has no significant role in removing 8-oxoG from DNA, at least in mice (Engelward, et al., 1997, Hang, et al., 1997). In order to establish whether MPG is involved in the removal of 8-oxoG from DNA by lymphocyte extracts, a competition experiment was performed with an unlabeled duplex oligonucleotide containing a site-specific hypoxanthine (a substrate of MPG but not for OGG1; (see, Engelward, et al., 1997, Hang, et al., 1997)). As can be seen in FIG. 3, this duplex oligonucleotide did not inhibit the incision of the 8-oxoG-containing DNA by the extract, suggesting that APNG is not involved in the incision reaction. A control experiment with an excess of unlabeled duplex oligonucleotide containing a G instead of 8-oxoG showed no inhibition, whereas a duplex oligonucleotide containing 8-oxoG-DNA did cause inhibition, as expected (FIGS. 3a-b). These competition experiments are an indication of the specificity of the OGGA test to 8-oxoG.
 Reproducibility experiments showed that the assay is accurate and highly reproducible, with a coefficient of variation ≦10%. An example of a reproducibility experiment is shown in Table 4.
TABLE-US-00004 TABLE 4 Reproducibility of the OGGA test A Blood sample: 1 2 3 4 5 6 7 8 9 10 11 12 OGGA (units/μg protein): 6.8 6.9 6.4 6.5 6.7 7.4 6.9 6.5 6.6 6.7 5.9 6.9 Average OGGA: 6.7 Standard variation: 0.4 Coefficient of variance: 6% Twelve blood samples from a healthy donor (donor No. 54), 10 ml each, were processed and assayed for OGGA. One unit of OGG activity incises 1 fmol GO-containing substrate in 60 minutes at 37° C. under standard assay conditions. B Blood Sample: 1 2 3 4 5 6 Ave SD CV OGGA (units/ng protein) Experiment 1: 6.7 7.2 6.7 6.8 7.1 6.7 6.9 0.2 3% Experiment 2: 7.9 6.9 7.8 8.2 8.1 7.8 7.8 0.5 6% Experiment 3: 6.9 7.0 7.1 7.3 7.9 7.2 7.2 0.4 5% Overall average OGGA: 7.1 Standard deviation (SD): 0.5 Coefficient of variance (CV): 7% Six blood samples from a healthy donor (donor No. 50), 10 ml each, were processed to prepare protein extracts. The table shows the results of three independent assays performed with these assays on three different days.
 OGGA value in healthy individuals (control subjects): The OGGA test was performed on blood samples from 123 healthy individuals, and the distribution is shown in FIG. 4. The mean OGGA value was 7.2±1.0 units/μg protein (this will be also dubbed OGGA value of 7.2±1.0; Table 5).
TABLE-US-00005 TABLE 5 OGGA values in healthy individuals Factor No. Mean OGGA ± SD* P** All 123 7.2 ± 1.0 Age, years <50 34 7.6 ± 0.9 ≧50 89 7.0 ± 1.0 0.02 Gender Male 53 7.3 ± 1.0 Female 70 7.1 ± 1.0 0.36 Smoking status Never 88 7.1 ± 1.0 Current 35 7.3 ± 1.0 0.46 *SD, standard deviation. **P values are results of 3-way ANOVA.
 The range of OGGA was 3.6-10.1 units/μg protein, representing a 2.8-fold range of OGG activity. This is a rather narrow distribution of activity, significantly narrower than previously reported (Asami, et al., 1996).
 A 3-way ANOVA with gender, age (<50, ≧50), and smoking status revealed that there was no significant difference in mean OGGA value between men (53 individuals; 7.3±1.0 units/μg protein) and women (70 individuals; 7.1±1.0 units/μg protein; P=0.36 FIG. 5; Table 5), or between smokers (N=35; 7.3±1.0 units/μg protein) and non-smokers (N=88; 7.1±1.0 units/μg protein; P=0.46). This indicates that smoking does not affect the OGGA value in peripheral blood lymphocytes (FIG. 6; Table 5). This result differs from the result obtained by Asami et al. (1996), who reported that 8-oxoG repair activity was increased 1.6-fold in smokers. In contrast, there was a small (6.6%), but statistically significant decrease in mean OGGA values between the two age groups: Individuals under the age of 50 had a mean OGGA value of (7.6±0.9; N=34), whereas those 50 years or older had a mean OGGA value of (7.0±1.0; N=89; P=0.02; FIG. 7; Table 5). Taken together these results indicate little or no variation of the OGGA value with age, smoking status and gender.
 OGGA is not reduced in patients with breast cancer, and is altered in chronic lymphocytic leukemia (CLL): The OGGA test was performed on blood samples from 31 breast cancer patients and 19 CLL patients. As can be seen in Table 6, the mean OGGA value was 7.3±1.4 units/μg protein in breast cancer patients, similar to that of control female subjects (7.1±1.0, P=0.29; Tables 5 and 6). Also, the distribution of OGGA values was similar (FIGS. 8a-d). These results indicate that OGGA is not a risk factor in breast cancer. The mean OGGA value of CLL patients was 7.9±1.5, higher than the control subjects (7.2±1.0, P=0.0007; Table 6). However, the distribution of OGGA values among CLL patients was similar to the control group (FIGS. 8c-d).
TABLE-US-00006 TABLE 6 Mean OGGA values in cancer patients Healthy/Disease No. Mean OGGA ± SD* P** Healthy 123 7.2 ± 1.0 Lung cancer 102 6.0 ± 1.5 0.0001 (NSCLC) Breast cancer 31 7.3 ± 1.4 0.29 Lymphoma 18 6.2 ± 1.8 0.0001 CLL 19 7.9 ± 1.5 0.0007 Colorectal cancer 16 7.5 ± 1.8 0.047 *SD, standard deviation. **OGGA means were compared using ANCOVA, with age (treated as a continuous variable) as a covariate. For breast cancer patients, the control group consisted of female subjects.
 OGGA is a risk factor in lung cancer: The OGGA test was performed with blood samples from 102 patients who suffered from operable non-small cell lung cancer (NSCLC), and had not been subjected to either chemo- or radiotherapy at the time when the blood samples were taken. As can be seen in FIGS. 9a-b and Table 6, the mean OGGA value was 6.0±1.5 units/μg protein, significantly lower than the mean value of controls (7.2±1.0, P=0.0001). Analyzing separately cases with adenocarcinoma or squamous cell carcinoma revealed a similar OGGA level in these two main sub-types of NSCLC: adenocarcinoma: 6.1±1.5, N=37; squamous cell carcinoma: 5.8±1.6 N=35; P=0.44 (the other 30 cases were either other sub-types or unclassified NSCLC). The comparison of the distributions of OGGA in controls and in cases highlights the difference between the two groups. As can be clearly seen in FIGS. 9a-b, there is a shift to lower OGGA values in cases as compared to controls. For example, only 4% of controls have OGGA values of ≦5.5, whereas 38% of cases have OGGA values in this range. This includes values 2-3 fold lower than the mean OGGA values of the controls. The mean age of the control group (57±14) was significantly different from the cases group (68±10; P<0.0001). Therefore, logistic regression, adjusted for age, was used to analyze associations, and analysis of covariance was used to compare age-adjusted mean OGGA values.
 To analyze the association between levels of OGGA and presence of lung cancer logistic regression was used, where the binary dependent variable was presence/absence of lung cancer, and with age as a continuous variable, and gender, smoking status and OGGA as dichotomic variables. The latter was dichotomized at values corresponding to 5% (OGGA cutoff at 5.6), 10% (OGGA cutoff at 5.9), 15% (OGGA cutoff at 6.2), 25% (OGGA cutoff at 6.4) or 50% (OGGA cutoff at 7.3) of the control group. As can be seen in Table 7, smoking is strongly associated with lung cancer, in agreement with its established role as a major risk factor in the disease. For example, in a model where OGGA was dichotomized at ≦5.9 (corresponding to 10% of the controls), the Odds Ratio (OR) for smokers was 20.8 (95% CI 7.8-55.4, P=0.0001). In a model where the OGGA cutoff was defined as ≦7.3 (corresponding to 50% of controls), the OR for smokers was 23.0 (95% CI 8.9-59.2, P=0.0001). The gender had no significant effect in any of the models, whereas increased age was associated with the presence of lung cancer. Notice that although the OR for age was relatively small in all models (1.1 95% CI 1.1-1.2, P=0.0001) it is statistically significant. The age was analyzed as a continuous variable, and the relatively small OR is given per one-year change. Therefore, its final effect when applied to a particular change of age might be much larger (see Table 8 below).
 As can be seen from Table 7, a clear association was found between the level of OGGA and presence of lung cancer. Moreover, there is a dose-dependent effect, with higher OR obtained for lower OGGA. For example, OR values of 3.9, 5.2, 7.0 and 9.0 were obtained for cutoff OGGA values of 7.3, 6.4, 5.9 and 5.6, respectively (Table 7). These high OR values indicate a strong association between low OGGA and lung cancer. Moreover, the increase in OR with decreasing OGGA further strengthens the significance of the association. In addition, the high OR values argue against the possibility of a selection bias in the control group.
TABLE-US-00007 TABLE 7 Association of low OGGA and lung cancer Adjusted Odds Ratio (95% CI) * OGGA DNA repair cutoff .sup.† Controls Cases OGGA Smoking Age Sex ≦5.6 (5%) 7 42 9.0 (3.2-25.0) 18.6 (7.1-48.7) 1.1 (1.1-1.2) 1.0 (0.4-2.1) >5.6 116 60 P = 0.0001 P = 0.0001 P = 0.0001 P = 0.79 ≦5.9 (10%) 14 52 7.0 (3.0-16.7) 20.8 (7.8-55.4) 1.1 (1.1-1.2) 1.0 (0.4-2.2) >5.9 109 50 P = 0.0001 P = 0.0001 P = 0.0001 P = 0.96 ≦6.2 (15%) 18 60 6.5 (2.9-14.5) 21.5 (8.0-58.0) 1.1 (1.1-1.2) 0.9 (0.4-2.0) >6.2 105 42 P = 0.0001 P = 0.0001 P = 0.0001 P = 0.77 ≦6.4 (20%) 25 63 5.2 (2.4-11.2) 20.6 (7.9-53.6) 1.1 (1.1-1.2) 0.9 (0.4-2.0) >6.4 98 39 P = 0.0001 P = 0.0001 P = 0.0001 P = 0.77 ≦6.6 (25%) 34 68 4.3 (2.0-9.0) 21.4 (8.2-55.5) 1.1 (1.1-1.2) 0.9 (0.4-2.0) >6.6 89 34 P = 0.0002 P = 0.0001 P = 0.0001 P = 0.85 ≦7.3 (50%) 63 83 3.9 (1.7-8.6) 23.0 (8.9-59.2) 1.1 (1.1-1.2) 0.9 (0.4-1.8) >7.3 60 19 P = 0.0009 P = 0.0001 P = 0.0001 P = 0.67 The logistic regression model is based on age as a continuous variable, and the dichotomic variables were smoking status (smoker, non-smoker), gender (female, male) and DNA repair activity value (low or normal, with various cutoff values, as indicated). The goodness of fit of the model, as described by R2, is in the range of 58-61%. * 95% CI, 95% confidence interval. .sup.† Cutoff values defined for the dichotomic variable of OGGA. The numbers in parentheses show the corresponding percentage of control subjects with OGGA values lower than or equal to the cutoff value.
 In case-control studies there is a possibility that the examined variable is a consequence of the disease, rather than being a risk factor. In the present case, the possibility that the lung tumor causes a decrease of OGGA in peripheral blood lymphocytes (PBL) was considered. The OGGA value may be affected, for example, by factors that the tumor secretes into the blood stream. The main treatment of NSCLC is surgical removal of the tumor. This offers a way to distinguish between a causative and a resultive model for the association of PBL OGGA and lung cancer. Once eliminated from the lung, the effect the tumor have (if any) on OGGA in lymphocytes should decay with time. No correlation between OGGA and the time period that passed between surgery and taking the blood sample (ranging from 4 months before surgery to over a year after surgery) was found, indicating that whether the samples were taken before or after surgery had no effect on the level of OGGA in PBL. In the current group of case subjects, most (67/102) samples were taken after surgery. These results, clearly indicate that reduced OGGA is indeed a risk factor in lung cancer.
 The simplest biological explanation for the present finding is the following: Low OGGA in PBL reflects low OGGA in the lungs. Correlations between DNA repair activities in PBL and lung cells (Auckley et al., 2001) or gastric mucosa (Kyrtopoulos et al., 1990) were previously reported. The lower DNA repair capacity leads to a reduced ability to repair oxidative DNA damage, and as a result 8-oxoguanine accumulates and leads to an increased mutation rate, which causes a higher cancer risk. In smokers there is an overload of DNA damage in the lungs, and therefore a higher risk is expected. No interaction was found between OGGA values and smoking status, implying that each of the two is an independent risk factor for lung cancer. This means that low OGGA is a risk factor also in non-smokers. This is not surprising, since oxidative DNA damage is a common intracellular damage that occurs even without exposure to external agents (Lindahl, 1993).
 As discussed before, OGGA is not reduced in patients with breast cancer. This suggests that the repair of 8-oxoG is a bottleneck in the case of lung cancer, and in some additional cancers, but not in others (e.g., breast cancer). This is consistent with the finding that hereditary defects in particular DNA repair genes cause predisposition to specific types of cancer. For example, defects in nucleotide excision repair were shown to cause skin cancer (Weeda et al., 1993) whereas defects in mismatch repair cause hereditary non-polyposis colon cancer (Modrich, 1994). To our knowledge the results presented herein, are the first demonstration that decreased activity of a specific base excision repair enzyme is associated with cancer.
 A useful application of the results of this study would be a quantitative model, which will provide an estimation of the risk of lung cancer associated with a particular OGGA value, age and smoking status. For diseases that do not occur frequently, such as lung cancer, and assuming that the cases and the controls are reasonably representative of the population, the odds ratio can be used as estimated relative risk (Gordis, 1996). Thus, a model was formulated using logistic regression, with age and OGGA as continuous variables, and smoking status as a dichotomic variable (smokers or non-smokers). This yielded OR values for lung cancer and these were taken as an estimation of risk. The OR values were calculated by dividing the odds of each particular group (having a particular age, OGGA value and smoking status) by the odds of 30 years-old non-smokers with a normal OGGA value of 7.0 (the reference group; OR of 1.0). The OR values for a specific age, OGGA value and smoking status are listed in Table 8. For example, according to Table 8, the estimated risk for 30 years-old smokers with a low OGGA value of 4.0, is 118-fold higher than the reference. At the age of 40, the estimated risk will increase to 321-fold higher than the reference. This high estimated risk is primarily the combined result of smoking and low OGGA. Having a low repair activity to start with, smoking causes further overloading of DNA damage, therefore leading to a high cancer risk. This model is instrumental in clarifying the fact that the combination of smoking and low OGGA causes a dramatic increase in susceptibility to lung cancer. For example, 40 years-old non-smokers with an OGGA value of 4.0 have an estimated risk 18-fold higher than the reference, compared to an estimated risk of 321-fold higher than the reference of smokers with the same age and OGGA (Table 8).
 The OGGA test can be used to screen smokers for reduced DNA repair capacity. These individuals can be persuaded to quit smoking based on their personal reduced ability to cope with DNA damage. Since smoking is the main contributor to the high relative estimated risk for lung cancer (Tables 7 and 8), quitting smoking is expected to significantly improve the chances of preventing lung cancer. Such an approach of personalized smoking cessation, based on personal susceptibility, may provide a successful and cost-effective strategy to prevent lung cancer, and may be extended to include additional DNA repair assays.
TABLE-US-00008 TABLE 8 An odds ratio model for estimating the risk of lung cancer for specific DNA repair OGGA values, age and smoking status Estimated Risk OGGA (Odds Ratio*) Age, y value Non-smokers Smokers 30 7 1 18 30 6 2 34 30 5 3 63 30 4 7 118 30 3 12 221 40 7 3 49 40 6 5 92 40 5 9 172 40 4 18 321 40 3 33 599 50 7 7 134 50 6 14 251 50 5 26 468 50 4 48 873 50 3 90 1629 60 7 20 365 60 6 37 681 60 5 70 1272 60 4 131 2373 60 3 244 4429 70 7 55 992 70 6 102 1852 70 5 190 3456 70 4 355 6451 70 3 662 12040 *The Table is based on logistic regression analysis of the case-control study, and therefore the numbers represent only estimated values of risk. The odds ratio is calculated relative to the odds ratio of 30 years-old non-smokers with an OGGA value of 7.0.
 The data presented herein indicates that low OGGA is a risk factor for lung cancer also among non-smokers (Tables 7 and 8). What can non-smokers with low OGGA do to protect themselves? One possibility is to make sure that they are not exposed to external sources of oxidative DNA damage such as secondary smoking or ionizing radiation. The latter includes radiology departments in hospitals, nuclear industry, and nuclear reactors. However, oxidative DNA damage is caused also by internal agents; therefore, dietary anti-oxidants might have a protective effect. Large population studies found that antioxidants had no protective effect against cancer (reviewed in Collins, 1999; Lippman and Spitz, 2001). However, these food additives might have a protective effect when taken by individuals with low capacity to repair oxidative DNA damage.
 Low OGG activity is a risk factor in lymphoma: Analysis of 18 lymphoma patients showed a clear shift to lower OGG DNA repair values (FIGS. 10a-b; Table 6): The mean OGGA value was 6.2±1.8 units/μg protein, significantly lower than in healthy individuals (P=0.0001). Analysis of Normal and Low repair in healthy individuals and in lymphoma patients using logistic regression yielded an adjusted Odds Ratio of 15.2 (95% CI, 3.7-62.5). This means that after adjustment for age, lymphoma patients were 15 times more likely than the healthy controls to have a Low OGGA. This indicates that Low OGGA is a risk factor in lymphoma (Table 9).
TABLE-US-00009 TABLE 9 Association of Low OGGA and lymphoma Factor Crude OR Adjusted** OR OGGA Cases Controls (95% CI*) (95% CI) Normal >5.5 12 118 Low ≦5.5 6 5 11.8 (3.1-44.5) 15.2 (3.7-62.5) P = 0.0006 P = 0.0002 *CI, 95% confidence interval. **Adjusted for age.
 OGG activity seems to be reduced in colorectal cancer patients: An analysis was performed with 16 colorectal cancer patients (FIGS. 11a-b). Two of the patients exhibited low OGG (12%). This data indicates that low OGG is a risk factor in colorectal cancer.
 It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination.
 Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims. All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention.
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14132DNAArtificial sequencesynthetic oligonucleotide 1ccggtgcatg acactgtnac ctatcctcag cg 32232DNAArtificial sequencesynthetic oligonucleotide 2cgctgaggat aggtcacagt gtcatgcacc gg 3232062DNAHomo sapiens 3ctcccagccc gtctccccgc tccagtttag aacctaattc ccaattcccg gaccgggccc 60agccctgggc tcttactgtc cgcttttgct gggacctgtt ccacaaatgg gcgtcttctg 120ccttgggccg tgggggttgg gccggaagct gcggacgcct gggaaggggc cgctgcagct 180cttgagccgc ctctgcgggg accacttgca ggccatccca gccaagaagg ccccggctgg 240gcaggaggag cctgggacgc cgccctcctc gccgctgagt gccgagcagt tggaccggat 300ccagaggaac aaggccgcgg ccctgctcag actcgcggcc cgcaacgtgc ccgtgggctt 360tggagagagc tggaagaagc acctcagcgg ggagttcggg aaaccgtatt ttatcaagct 420aatgggattt gttgcagaag aaagaaagca ttacactgtt tatccacccc cacaccaagt 480cttcacctgg acccagatgt gtgacataaa agatgtgaag gttgtcatcc tgggacagga 540tccatatcat ggacctaatc aagctcacgg gctctgcttt agtgttcaaa ggcctgttcc 600gcctccgccc agtttggaga acatttataa agagttgtct acagacatag aggattttgt 660tcatcctggc catggagatt tatctgggtg ggccaagcaa ggtgttctcc ttctcaacgc 720tgtcctcacg gttcgtgccc atcaagccaa ctctcataag gagcgaggct gggagcagtt 780cactgatgca gttgtgtcct ggctaaatca gaactcgaat ggccttgttt tcttgctctg 840gggctcttat gctcagaaga agggcagtgc cattgatagg aagcggcacc atgtactaca 900gacggctcat ccctcccctt tgtcagtgta tagagggttc tttggatgta gacacttttc 960aaagaccaat gagctgctgc agaagtctgg caagaagccc attgactgga aggagctgtg 1020atcatcagct gaggggtggc ctttgagaag ctgctgttaa cgtatttgcc agttacgaag 1080ttccactgaa aattttccta ttaattctta agtactctgc ataaggggga aaagcttcca 1140gaaagcagcc atgaaccagg ctgtccagga atggcagctg tatccaacca caaacaacaa 1200aggctaccct ttgaccaaat gtctttctct gcaacatggc ttcggcctaa aatatgcaga 1260agacagatga ggtcaaatac tcagttggct ctctttatct cccttgcctt tatggtgaaa 1320caggggagat gtgcaccttt caggcacagc cctagtttgg cgcctgctgc tccttggttt 1380tgcctggtta gactttcagt gacagatgtt ggggtgtttt tgcttagaaa ggtccccttg 1440tctcagcctt gcagggcagg catgccagtc tctgccagtt ccactgcccc cttgatcttt 1500gaaggagtcc tcaggcccct cgcagcataa ggatgttttg caactttcca gaatctggcc 1560cagaaattag ggctcaattt cctgattgta gtagaggtta agattgctgt gagctttatc 1620agataagaga ccgagagaag taagctgggt cttgttattc cttgggtgtt ggtggaataa 1680gcagtggaat ttgaacaagg aagaggagaa aagggaattt tgtctttatg gggtggggtg 1740attttctcct agggttatgt ccagttgggg tttttaaggc agcacagact gccaagtact 1800gtttttttta accgactgaa atcactttgg gatatttttt cctgcaacac tggaaagttt 1860tagtttttta agaagtactc atgcagatat atatatatat atttttccca gtcctttttt 1920taagagacgg tctttattgg gtctgcacct ccatccttga tcttgttagc aatgctgttt 1980ttgctgttag tcgggttaga gttggctcta cgcgaggttt gttaataaaa gtttgttaaa 2040agttcaaaaa aaaaaaaaaa aa 206241570DNAHomo sapiens 4aacgggatgg ggagctggac cagcagatta tgagcttaca gaaagcctgg cctacatttt 60actctttttg gatttcttcc tcatcaagag actgctgcag tgcctgtcat gtgacagcgg 120catggacata tgccccaggc tttcctgctg gggtccatcc atgagcctgc aggtgccctc 180atggagcccc agccctgccc tggaagcttg gctgagagct tcctggagga ggagcttcgg 240ctcaatgctg agctgagcca gctgcagttt tcggagcctg tgggcatcat ctacaatccc 300gtggagtatg catgggagcc acatcgcaac tacgtgactc gctactgcca gggccccaag 360gaagtactct tcctgggcat gaaccctgga ccttttggca tggcccagac tggggtgccc 420tttggggaag taagcatggt ccgggactgg ttgggcattg tggggcctgt gctgacccct 480ccccaagagc atcctaaacg accagtgctg ggactggagt gcccacagtc agaagtgagt 540ggtgcccgat tctggggctt tttccggaac ctctgtggac agcctgaggt cttcttccat 600cactgttttg tccacaatct atgccctctg cttttcctgg ctcccagcgg gcgcaacctt 660actcctgctg agctgcctgc caagcagcga gaacagcttc ttgggatctg tgatgcagcc 720ctctgccggc aggtgcagct gctgggggtg cggctggtgg tgggagttgg gcgactggca 780gagcagcggg cacgacgggc tctggcaggc ctgatgccag aggtccaggt ggaagggctc 840ctgcatccct ctccccgtaa cccacaggcc aacaagggct gggaggcagt ggccaaggaa 900agattgaatg agctggggct gctgccactg ctgttgaaat gagtgccctt ggggccttgc 960atgggacaca ttcaagacct cgaagtcatt cttggccaag cagatgacaa cacatctcct 1020ggactggagc aaaaggtcct tctgtgcacc ctggtcgctg ggaaacgtat tctttgatct 1080gttgaactgt cttccaacct gccatggcag ttttgacact actcctgttt gccctcctga 1140ttcctgcttt ctttaccttt taacattgcc cctttcaggg gaccccactt tgtagggaat 1200ctgcagaagg tgtgcttttg cacttgcaga ctgctctacc tcagtgtttc cttgggagac 1260tttattcagc tgagagtgcc ctagacagta acttctaagg tcacgtttac tatttcagag 1320gaaatatctt gccaggatac ctacccatcc ttatagaaca gttaccttta gctgacccct 1380ttcctcacag ggaccaagac aaagcatggg acatgaaatt aagagtgaac ttcttatggg 1440aggctgcagc tggatcagag gaaaaatcca gtgtgacaga gtgcaagtca gaagacctgg 1500cttttcatcc cagctttgaa acttggaact ttttgattga caaattaata aacctctcta 1560tgcctcaggc 157052470DNAHomo sapiens 5ggcggctgta gccgaggggg cggccggaaa gcagcggcgg cgtctggggc gctttcgcaa 60cattcagacc tcggttgcag cccggtgccg tgagctgaag aggtttcaca tcttactccg 120ccccacaccc tgggcgttgc ggcgctgggc tcgttgctgc agccggaccc tgctcgatgg 180gcacgactgg gctggagagt ctgagtctgg gggaccgcgg agctgccccc accgtcacct 240ctagtgagcg cctagtccca gacccgccga atgacctccg caaagaagat gttgctatgg 300aattggaaag agtgggagaa gatgaggaac aaatgatgat aaaaagaagc agtgaatgta 360atcccttgct acaagaaccc atcgcttctg ctcagtttgg tgctactgca ggaacagaat 420gccgtaagtc tgtcccatgt ggatgggaaa gagttgtgaa gcaaaggtta tttgggaaga 480cagcaggaag atttgatgtg tactttatca gcccacaagg actgaagttc agatccaaaa 540gttcacttgc taattatctt cacaaaaatg gagagacttc tcttaagcca gaagattttg 600attttactgt actttctaaa aggggtatca agtcaagata taaagactgc agcatggcag 660ccctgacatc ccatctacaa aaccaaagta acaattcaaa ctggaacctc aggacccgaa 720gcaagtgcaa aaaggatgtg tttatgccgc caagtagtag ttcagagttg caggagagca 780gaggactctc taactttact tccactcatt tgcttttgaa agaagatgag ggtgttgatg 840atgttaactt cagaaaggtt agaaagccca aaggaaaggt gactattttg aaaggaatcc 900caattaagaa aactaaaaaa ggatgtagga agagctgttc aggttttgtt caaagtgata 960gcaaaagaga atctgtgtgt aataaagcag atgctgaaag tgaacctgtt gcacaaaaaa 1020gtcagcttga tagaactgtc tgcatttctg atgctggagc atgtggtgag accctcagtg 1080tgaccagtga agaaaacagc cttgtaaaaa aaaaagaaag atcattgagt tcaggatcaa 1140atttttgttc tgaacaaaaa acttctggca tcataaacaa attttgttca gccaaagact 1200cagaacacaa cgagaagtat gaggatacct ttttagaatc tgaagaaatc ggaacaaaag 1260tagaagttgt ggaaaggaaa gaacatttgc atactgacat tttaaaacgt ggctctgaaa 1320tggacaacaa ctgctcacca accaggaaag acttcactgg tgagaaaata tttcaagaag 1380ataccatccc acgaacacag atagaaagaa ggaaaacaag cctgtatttt tccagcaaat 1440ataacaaaga agctcttagc cccccacgac gtaaagcctt taagaaatgg acacctcctc 1500ggtcaccttt taatctcgtt caagaaacac tttttcatga tccatggaag cttctcatcg 1560ctactatatt tctcaatcgg acctcaggca aaatggcaat acctgtgctt tggaagtttc 1620tggagaagta tccttcagct gaggtagcaa gaaccgcaga ctggagagat gtgtcagaac 1680ttcttaaacc tcttggtctc tacgatcttc gggcaaaaac cattgtcaag ttctcagatg 1740aatacctgac aaagcagtgg aagtatccaa ttgagcttca tgggattggt aaatatggca 1800acgactctta ccgaattttt tgtgtcaatg agtggaagca ggtgcaccct gaagaccaca 1860aattaaataa atatcatgac tggctttggg aaaatcatga aaaattaagt ctatcttaaa 1920ctctgcagct ttcaagctca tctgttatgc atagctttgc acttcaaaaa agcttaatta 1980agtacaacca accacctttc cagccataga gattttaatt agcccaacta gaagcctagt 2040gtgtgtgctt tcttaatgtg tgtgccaatg gtggatcttt gctactgaat gtgtttgaac 2100atgttttgag atttttttaa aataaattat tatttgacaa caatccaaaa aaaatacggc 2160ttttccaatg atgaaatata atcagaagat gaaaaatagt tttaaactat caataataca 2220aagcaaattt ctatcagcct tgctaaagct aggggcccac taaatatttt tatcggctag 2280gcgtggtggt gcatgcctgt aatctcggaa ggctgaggca ggaggatcat ttgagctcat 2340gagggcccag gaggtcaagg cttcagtgag ccatgatcat gccactgcac tccagtctgg 2400atgacagaga gagaccctgt ctcaaaaaat atatatttaa aaaataaaaa taaaagctga 2460ccccaaagac 247063410DNAHomo sapiens 6gcaccaggcg cccagtggag ccgtttggga gaattgcctg cgccacgcag cggggccgga 60caggcggtaa ggatctgatt aggctttcga acttgagttt gactgatgtc ttctgtgtgg 120tgtccgctaa atcccacagc atataggatc agtcgcattg gttataaggt ttgcttctgg 180ctgggtgcgg tggctcatgc ctgtaatcca acattgggag gccaaggcag gcggaccacc 240tgaagtcggg agcttgagtc cagccactgt ctgggtactg ccagccatcg ggcccaggtc 300tctggggttg tcttaccgca gtgagtacca cgcggtacta cagagaccgg ctgcccgtgt 360gcccggcagg tggagccgcc gcatcagcgg cctcggggaa tggaagcgga gaacgcgggc 420agctattccc ttcagcaagc tcaagctttt tatacgtttc catttcaaca actgatggct 480gaagctccta atatggcagt tgtgaatgaa cagcaaatgc cagaagaagt tccagcccca 540gctcctgctc aggaaccagt gcaagaggct ccaaaaggaa gaaaaagaaa acccagaaca 600acagaaccaa aacaaccagt ggaacccaaa aaacctgttg agtcaaaaaa atctggcaag 660tctgcaaaac caaaagaaaa acaagaaaaa attacagaca catttaaagt aaaaagaaaa 720gtagaccgtt ttaatggtgt ttcagaagct gaacttctga ccaagactct ccccgatatt 780ttgaccttca atctggacat tgtcattatt ggcataaacc cgggactaat ggctgcttac 840aaagggcatc attaccctgg acctggaaac catttttgga agtgtttgtt tatgtcaggg 900ctcagtgagg tccagctgaa ccatatggat gatcacactc taccagggaa gtatggtatt 960ggatttacca acatggtgga aaggaccacg cccggcagca aagatctctc cagtaaagaa 1020tttcgtgaag gaggacgtat tctagtacag aaattacaga aatatcagcc acgaatagca 1080gtgtttaatg gaaaatgtat ttatgaaatt tttagtaaag aagtttttgg agtaaaggtt 1140aagaacttgg aatttgggct tcagccccat aagattccag acacagaaac tctctgctat 1200gttatgccat catccagtgc aagatgtgct cagtttcctc gagcccaaga caaagttcat 1260tactacataa aactgaagga cttaagagat cagttgaaag gcattgaacg aaatatggac 1320gttcaagagg tgcaatatac atttgaccta cagcttgccc aagaggatgc aaagaagatg 1380gctgttaagg aagaaaaata tgatccaggt tatgaggcag catatggtgg tgcttacgga 1440gaaaatccat gcagcagtga accttgtggc ttctcttcaa atgggctaat tgagagcgtg 1500gagttaagag gagaatcagc tttcagtggc attcctaatg ggcagtggat gacccagtca 1560tttacagacc aaattccttc ctttagtaat cactgtggaa cacaagaaca ggaagaagaa 1620agccatgctt aagaatggtg cttctcagct ctgcttaaat gctgcagttt taatgcagtt 1680gtcaacaagt agaacctcag tttgctaact gaagtgtttt attagtattt tactctagtg 1740gtgtaattgt aatgtagaac agttgtgtgg tagtgtgaac cgtatgaacc taagtagttt 1800ggaagaaaaa gtagggtttt tgtatactag cttttgtatt tgaattaatt atcattccag 1860ctttttatat actatatttc atttatgaag aaattgattt tcttttggga gtcactttta 1920atctgtaatt ttaaaataca agtctgaata tttatagttg attcttaact gtgcataaac 1980ctagatatac cattatccct tttataccta agaagggcat gctaataatt accactgtca 2040aagaggcaaa ggtgttgatt tttgtatata agttaagcct cagtggagtc tcatttgtta 2100gtttttagtg gtaactaagg gtaaactcag ggttccctga gctatatgca cactcagacc 2160tctttgcttt accagtggtg tttgtgagtt gctcagtagt aaaaactggc ccttacctga 2220cagagccctg gctttgacct gctcagccct gtgtgttaat cctctagtag ccaattaact 2280actctggggt ggcaggttcc agagaatcga gtagaccttt tgccactcat ctgtgtttta 2340cttgagacat gtaaatatga tagggaagga actgaatttc tccattcata tttataacca 2400ttctagtttt atcttccttg gctttaagag tgtgccatgg aaagtgataa gaaatgaact 2460tctaggctaa gcaaaaagat gctggagata tttgatactc tcatttaaac tggtgcttta 2520tgtacatgag atgtactaaa ataagtaata tagaattttt cttgctaggt aaatccagta 2580agccaataat tttaaagatt ctttatctgc atcattgctg tttgttacta taaattaaat 2640gaacctcatg gaaaggttga ggtgtatacc tttgtgattt tctaatgagt tttccatggt 2700gctacaaata atccagacta ccaggtctgg tagatattaa agctgggtac taagaaatgt 2760tatttgcatc ctctcagtta ctcctgaata ttctgatttc atacgtaccc agggagcatg 2820ctgttttgtc aatcaatata aaatatttat gaggtctccc ccacccccag gaggttatat 2880gattgctctt ctctttataa taagagaaac aaattcttat tgtgaatctt aacatgcttt 2940ttagctgtgg ctatgatgga ttttattttt tcctaggtca agctgtgtaa aagtcattta 3000tgttatttaa atgatgtact gtactgctgt ttacatggac gttttgtgcg ggtgctttga 3060agtgccttgc atcagggatt aggagcaatt aaattatttt ttcacgggac tgtgtaaagc 3120atgtaactag gtattgcttt ggtatataac tattgtagct ttacaagaga ttgttttatt 3180tgaatgggga aaataccctt taaattatga cggacatcca ctagagatgg gtttgaggat 3240tttccaagcg tgtaataatg atgtttttcc taacatgaca gatgagtagt aaatgttgat 3300atatcctata catgacagtg tgagactttt tcattaaata atattgaaag attttaaaat 3360tcatttgaaa gtctgatggc ttttacaata aaagatatta agaattgtta 341071108DNAHomo sapiens 7cctgggcccc catgcccgtg cagctcgcac atatgtgggg cagagcagcc accctgcccc 60cagcagcagc cgtccatcgt cagacgtgat catttcctga ggcctcgagt gtgtcagggt 120gtttgtgcct cataacaacc cacaggatgg tcacccccgc tttgcagatg aagaaaccaa 180agcagttttg ccgacggatg gggcaaaaga agcagcgacc agctagagca gggcagccac 240acagctcgtc cgacgcagcc caggcacctg cagagcagcc acacagctcg tccgatgcag 300cccaggcacc ttgccccagg gagcgctgct tgggaccgcc caccactccg ggcccatacc 360gcagcatcta tttctcaagc ccaaagggcc accttacccg actggggttg gagttcttcg 420accagccggc agtccccctg gcccgggcat ttctgggaca ggtcctagtc cggcgacttc 480ctaatggcac agaactccga ggccgcatcg tggagaccga ggcatacctg gggccagagg 540atgaaccggc ccactcaagg ggtggccggc agaccccccg caaccgaggc atgttcatga 600agccggggac cctgtacgtg tacatcattt acggcatgta cttctgcatg aacatctcca 660gccaggggga cggggcttgc gtcttgctgc gagcactgga gcccctggaa ggtctggaga 720ccatgcgtca cgttcgcagc accctccgga aaggcaccgc cagccgtgtc ctcaaggacc 780gcgagctctg cagtggcccc tccaagctgt gccaggccct ggccatcaac aagagctttg 840accagaggga cctggcacag gatgaagctg tatggctgga gcgtggtccc ctggagccca 900gtgagccggc tgtagtggca gcagcccggg tgggcgtcgg ccatgcaggg gagtgggccc 960ggaaacccct ccgcttctat gtccggggca gcccctgggt cagtgtggtc gacagagtgg 1020ctgagcagga cacacaggcc tgagcaaagg gcctgcccag acaagatttt ttaattgttt 1080aaaaaccgaa taaatgtttt atttctag 11088939DNAHomo sapiens 8atgtgtagtc cgcaggagtc cggcatgacc gccttgagcg cgaggatgct gacccggagc 60cggagcctgg gacccggggc tgggccgcgg gggtgtaggg aggagcccgg gcctctccgg 120agaagagagg ctgcagcaga agcgaggaaa agccacagcc ccgtgaagcg tccgcggaaa 180gcacagagac tgcgtgtggc ctatgagggc tcggacagtg agaaaggtga gggggctgag 240cccctcaagg tgccagtctg ggagccccag gactggcagc aacagctggt caacatccgt 300gccatgagga acaaaaagga tgcacctgtg gaccatctgg ggactgagca ctgctatgac 360tccagtgccc ccccaaaggt acgcaggtac caggtgctgc tgtcactgat gctctccagc 420caaaccaaag accaggtgac ggcgggcgcc atgcagcgac tgcgggcgcg gggcctgacg 480gtggacagca tcctgcagac agatgatgcc acgctgggca agctcatcta ccccgtcggt 540ttctggagga gcaaggtgaa atacatcaag cagaccagcg ccatcctgca gcagcactac 600ggtggggaca tcccagcctc tgtggccgag ctggtggcgc tgccgggtgt tgggcccaag 660atggcacacc tggctatggc tgtggcctgg ggcactgtgt caggcattgc agtggacacg 720catgtgcaca gaatcgccaa caggctgagg tggaccaaga aggcaaccaa gtccccagag 780gagacccgcg ccgccctgga ggagtggctg cctagggagc tgtggcacga gatcaatgga 840ctcttggtgg gcttcggcca gcagacctgt ctgcctgtgc accctcgctg ccacgcctgc 900ctcaaccaag ccctctgccc ggccgcccag ggtctctga 93991854DNAHomo sapiens 9ggagcctcta gaactatgag cccgaggcct tcccctctcc cagagcgcag aggctttgaa 60ggctacctct gggaagccgc tcaccgtcgg aagctgcggg agctgaaact gcgccatcgt 120cactgtcggc ggccatgaca ccgctcgtct cccgcctgag tcgtctgtgg gccatcatga 180ggaagccacg agcagccgtg ggaagtggtc acaggaagca ggcagccagc caggaaggga 240ggcagaagca tgctaagaac aacagtcagg ccaagccttc tgcctgtgat gggatgattg 300ctgagtgtcc tggggcccca gcaggcctgg ccaggcagcc ggaagaggtg gtattgcagg 360cctctgtctc ctcataccat ctattcagag acgtagctga agtcacagcc ttccgaggga 420gcctgctaag ctggtacgac caagagaaac gggacctacc atggagaaga cgggcagaag 480atgagatgga cctggacagg cgggcatatg ctgtgtgggt ctcagaggtc atgctgcagc 540agacccaggt tgccactgtg atcaactact ataccggatg gatgcagaag tggcctacac 600tgcaggacct ggccagtgct tccctggagg aggtgaatca actctgggct ggcctgggct 660actattctcg tggccggcgg ctgcaggagg gagctcggaa ggtggtagag gagctagggg 720gccacatgcc acgtacagca gagaccctgc agcagctcct gcctggcgtg gggcgctaca 780cagctggggc cattgcctct atcgcctttg gccaggcaac cggtgtggtg gatggcaacg 840tagcacgggt gctgtgccgt gtccgagcca ttggtgctga tcccagcagc acccttgttt 900cccagcagct ctggggtcta gcccagcagc tggtggaccc agcccggcca ggagatttca 960accaagcagc catggagcta ggggccacag tgtgtacccc acagcgccca ctgtgcagcc 1020agtgccctgt ggagagcctg tgccgggcac gccagagagt ggagcaggaa cagctcttag 1080cctcagggag cctgtcgggc agtcctgacg tggaggagtg tgctcccaac actggacagt 1140gccacctgtg cctgcctccc tcggagccct gggaccagac cctgggagtg gtcaacttcc 1200ccagaaaggc cagccgcaag ccccccaggg aggagagctc tgccacctgt gttctggaac 1260agcctggggc ccttggggcc caaattctgc tggtgcagag gcccaactca ggtctgctgg 1320caggactgtg ggagttcccg tccgtgacct gggagccctc agagcagctt cagcgcaagg 1380ccctgctgca ggaactacag cgttgggctg ggcccctccc agccacgcac ctccggcacc 1440ttggggaggt tgtccacacc ttctctcaca tcaagctgac atatcaagta tatgggctgg 1500ccttggaagg gcagacccca gtgaccaccg taccaccagg tgctcgctgg ctgacgcagg 1560aggaatttca caccgcagct gtttccaccg ccatgaaaaa ggttttccgt gtgtatcagg 1620gccaacagcc agggacctgt atgggttcca aaaggtccca ggtgtcctct ccgtgcagtc 1680ggaaaaagcc ccgcatgggc cagcaagtcc tggataattt ctttcggtct cacatctcca 1740ctgatgcaca cagcctcaac agtgcagccc agtgacacct ctgaaagccc ccattccctg 1800agaatcctgt tgttagtaaa gtgcttattt ttgtagttaa aaaaaaaaaa aaaa 1854102557DNAHomo sapiensmisc_feature(200)..(200)any nucleotide 10ttcgcttgaa cccgggaggc ggagcttgca gtgagccgag atcgcgccat cacactccag 60ctcaggcgac agagtgagac tccgtctcaa agaaaaaaaa cttgcagcct gatagttaag 120atacagcaac cccaaatccc tatgctaaaa ggtgagaatg gcccagataa aggtcatgtc 180tcctagctcc ctgctttttn atgccatcct ccagaaggga agaaattaaa taatccatcc 240tcctactcca ggcgactaga aggcaggctg cctcagggcc acacactggg acttggactc 300aacctgatgg gcttctgggc ccagccccag acaaaccccc ggcaaacgtc ccattccgag 360gaaagcatga gcagatggag tatggaagaa atgcccaaga cggcaggcag cagctgtggc 420ggccggcggg acgacaatcc gaggagaggc ctctgatgtc ctgaggtctc agaggacgcc 480taaaggcctt gaatgggaca agcttagcgg gcgggcgcag aagagaataa tactctggag 540acacttcccg agggctctgg ggccggagct gtgttcgctc cggttcttgg tgaagacagg 600gttcgtggga ggcggcccaa ggagggcgaa cgcctaagac tgcaaaggct cgggggagaa 660cggctctcgg agaacgggct ggggaaggac gtggctctga agacggacag ccctgaggaa 720ccgcggggcg cccagatgga actcgttagc gccccgagtg cagacaatcc cggaggggga 780aaggcgagca gctggcagag agcccagtgc cggccaaccg cgcgagcgcc tcagaacggc 840ccgcccaccc tgatttctca ttggcgcctc ctacctcctc ctcggattgg ctacctctag 900gtgaaatgag cggtggttga gccctacttc cggtggtgct gtggtctgcc cctggagaac 960ccagaagaac acagctgtgc gcgcccacag gctctggggg cgggagaaga
taagtcgcaa 1020ggagggggcg ggacctacac ctcaggaaag ccggagaatt ggggcacgaa gcggggcttt 1080gatgacccgc aaagggcgag gcatgcagga ggtggaggaa ttaagtgaaa cagggaaggt 1140tgttaaacag caccgtgtgg gcgaggcctt aagggtcgtg gtccttgtct gggcggggtc 1200tttgggcgtc gacgaggcct ggttctgggt aggcggggct actacggggc ggtgcctgct 1260gtggaaatgc ctgcccgcgc gcttctgccc aggcgcatgg ggcatcgtac tctagcctcc 1320actcctgccc tgtgggcctc catcccgtgc cctcgctctg agctgcgcct ggacctggtt 1380ctgccttctg gacaatcttt ccggtggagg gagcaaagtc ctgcacactg gagtggtgta 1440ctagcggatc aagtatggac actgactcag actgaggagc agctccactg cactgtgtac 1500cgaggagaca agagccaggc tagcaggccc acaccagacg agctggaggc cgtgcgcaag 1560tacttccagc tagatgttac cctggctcaa ctgtatcacc actggggttc cgtggactcc 1620cacttccaag aggtggctca gaaattccaa ggtgtgcgac tgctgcgaca agaccccatc 1680gaatgccttt tctcttttat ctgttcctcc aacaacaaca tcgcccgcat cactggcatg 1740gtggagcggc tgtgccaggc ttttggacct cggctcatcc agcttgatga tgtcacctac 1800catggcttcc ccagcctgca ggccctggct gggccagagg tggaggctca tctcaggaag 1860ctgggcctgg gctatcgtgc ccgttacgtg agtgccagtg cccgagccat cctggaagaa 1920cagggcgggc tagcctggct gcagcagcta cgagagtcct catatgagga ggcccacaag 1980gccctctgca tcctgcctgg agtgggcacc aaggtggctg actgcatctg cctgatggcc 2040ctagacaagc cccaggctgt gcccgtggat gtccatatgt ggcacattgc ccaacgtgac 2100tacagctggc accctaccac gtcccaggcg aagggaccga gcccccagac caacaaggaa 2160ctgggaaact ttttccggag cctgtgggga ccttatgctg gctgggccca agcggtgctg 2220ttcagtgccg acctgcgcca atcccgccat gctcaggagc caccagcaaa gcgcagaaag 2280ggttccaaag ggccggaagg ctagatgggg caccctggac aaagaaattc cccaagcacc 2340ttcccctcca ttccccactt ctctctcccc atccccaccc agtctcatgt tggggagggg 2400cctccctgtg actacctcaa aggccaggca cccccaaatc aagcagtcag tttgcacaac 2460aagatggggt gggggatatt gagggagaca gcgctaagga tggttttatc ttccctttat 2520tacaagaagg aacaataaaa tagaaacatt tgtatgg 255711643DNAHomo sapiens 11gagcggcggt gcagaaccca gggaccatgg gcgcctccag gctctatacc ctggtgctgg 60tcctgcagcc tcagcgagtt ctcctgggca tgaaaaagcg aggcttcggg gccggccggt 120ggaatggctt tgggggcaaa gtgcaagaag gagagaccat cgaggatggg gctaggaggg 180agctgcagga ggagagcggt ctgacagtgg acgccctgca caaggtgggc cagatcgtgt 240ttgagttcgt gggcgagcct gagctcatgg acgtgcatgt cttctgcaca gacagcatcc 300aggggacccc cgtggagagc gacgaaatgc gcccatgctg gttccagctg gatcagatcc 360ccttcaagga catgtggccc gacgacagct actggtttcc actcctgctt cagaagaaga 420aattccacgg gtacttcaag ttccagggtc aggacaccat cctggactac acactccgcg 480aggtggacac ggtctagcgg gagcccaggg cagcccctgg gcaggagacg tggctgctga 540acagctgcaa accatcttca cctgggggca ttgagtggcg cagagccggg tttcatctgg 600aattaactgg atggaaggga aaataaagct atctagcggt gaa 643121006DNAHomo sapiens 12cgtctcctcg ctcgccttct ggctctgcca tgccctgctc tgaagagaca cccgccattt 60cacccagtaa gcgggcccgg cctgcggagg tgggcggcat gcagctccgc tttgcccggc 120tctccgagca cgccacggcc cccacccggg gctccgcgcg cgccgcgggc tacgacctgt 180acagtgccta tgattacaca ataccaccta tggagaaagc tgttgtgaaa acggacattc 240agatagcgct cccttctggg tgttatggaa gagtggctcc acggtcaggc ttggctgcaa 300aacactttat tgatgtagga gctggtgtca tagatgaaga ttatagagga aatgttggtg 360ttgtactgtt taattttggc aaagaaaagt ttgaagtcaa aaaaggtgat cgaattgcac 420agctcatttg cgaacggatt ttttatccag aaatagaaga agttcaagcc ttggatgaca 480ccgaaagggg ttcaggaggt tttggttcca ctggaaagaa ttaaaattta tgccaagaac 540agaaaacaag aagtcatacc tttttcttaa aaaaaaaaaa agtttttgct tcaagtgttt 600tggtgttttg cacttctgta aacttactag ctttaccttc taaaagtact gcatttttta 660ctttttttta tgatcaagga aaagatcatt aaaaaaaaac acaaaagaag tttttctttg 720tgtttggatc aaaaagaaac tttgtttttc cgcaattgaa ggttgtatgt aaatctgctt 780tgtggtgacc tgatgtaaac agtgtcttct taaaatcaaa tgtaaatcaa ttacagatta 840aaaaaaaaaa gcctgtattt aactcatatg atctcccttc agcaacttat tttgctttaa 900ttgctttaaa tcttaagcaa tattttttat tcagtaaaca aattctttca caaggtacaa 960aatcttgcat aagctgaact aaaataaaaa tgaaaaggag agatta 1006131420DNAHomo sapiens 13tgccatcggg ccggtgcaga tacggggttg ctcttttgct cataagaggg gcttcgctgg 60cagtctgaac ggcaagcttg agtcaggacc cttaattaag atcctcaatt ggctggaggg 120cagatctcgc gagtagggca acgcggtaaa aatattgctt cggtgggtga cgcggtacag 180ctgcccaagg gcgttcgtaa cgggaatgcc gaagcgtggg aaaaagggag cggtggcgga 240agacggggat gagctcagga cagagccaga ggccaagaag agtaagacgg ccgcaaagaa 300aaatgacaaa gaggcagcag gagagggccc agccctgtat gaggaccccc cagatcacaa 360aacctcaccc agtggcaaac ctgccacact caagatctgc tcttggaatg tggatgggct 420tcgagcctgg attaagaaga aaggattaga ttgggtaaag gaagaagccc cagatatact 480gtgccttcaa gagaccaaat gttcagagaa caaactacca gctgaacttc aggagctgcc 540tggactctct catcaatact ggtcagctcc ttcggacaag gaagggtaca gtggcgtggg 600cctgctttcc cgccagtgcc cactcaaagt ttcttacggc ataggcgatg aggagcatga 660tcaggaaggc cgggtgattg tggctgaatt tgactcgttt gtgctggtaa cagcatatgt 720acctaatgca ggccgaggtc tggtacgact ggagtaccgg cagcgctggg atgaagcctt 780tcgcaagttc ctgaagggcc tggcttcccg aaagcccctt gtgctgtgtg gagacctcaa 840tgtggcacat gaagaaattg accttcgcaa ccccaagggg aacaaaaaga atgctggctt 900cacgccacaa gagcgccaag gcttcgggga attactgcag gctgtgccac tggctgacag 960ctttaggcac ctctacccca acacacccta tgcctacacc ttttggactt atatgatgaa 1020tgctcgatcc aagaatgttg gttggcgcct tgattacttt ttgttgtccc actctctgtt 1080acctgcattg tgtgacagca agatccgttc caaggccctc ggcagtgatc actgtcctat 1140caccctatac ctagcactgt gacaccaccc ctaaatcact ttgagcctgg gaaataagcc 1200ccctcaacta ccattccttc tttaaacact cttcagagaa atctgcattc tatttctcat 1260gtataaaact aggaatcctc caaccaggct cctgtgatag agttctttta agcccaagat 1320tttttatttg agggtttttt gttttttaaa aaaaaattga acaaagacta ctaatgactt 1380tgtttgaatt atccacatga aaataaagag ccatagtttc 1420141259DNAHomo sapiens 14ccggagctgg gttgctcctg ctcccgtctc caagtcctgg tacctccttc aagctgggag 60agggctctag tccctggttc tgaacactct ggggttctcg ggtgcaggcc gccatgagca 120aacggaaggc gccgcaggag actctcaacg ggggaatcac cgacatgctc acagaactcg 180caaactttga gaagaacgtg agccaagcta tccacaagta caatgcttac agaaaagcag 240catctgttat agcaaaatac ccacacaaaa taaagagtgg agctgaagct aagaaattgc 300ctggagtagg aacaaaaatt gctgaaaaga ttgatgagtt tttagcaact ggaaaattac 360gtaaactgga aaagattcgg caggatgata cgagttcatc catcaatttc ctgactcgag 420ttagtggcat tggtccatct gctgcaagga agtttgtaga tgaaggaatt aaaacactag 480aagatctcag aaaaaatgaa gataaattga accatcatca gcgaattggg ctgaaatatt 540ttggggactt tgaaaaaaga attcctcgtg aagagatgtt acaaatgcaa gatattgtac 600taaatgaagt taaaaaagtg gattctgaat acattgctac agtctgtggc agtttcagaa 660gaggtgcaga gtccagtggt gacatggatg ttctcctgac ccatcccagc ttcacttcag 720aatcaaccaa acagccaaaa ctgttacatc aggttgtgga gcagttacaa aaggttcatt 780ttatcacaga taccctgtca aagggtgaga caaagttcat gggtgtttgc cagcttccca 840gtaaaaatga tgaaaaagaa tatccacaca gaagaattga tatcaggttg atacccaaag 900atcagtatta ctgtggtgtt ctctatttca ctgggagtga tattttcaat aagaatatga 960gggctcatgc cctagaaaag ggtttcacaa tcaatgagta caccatccgt cccttgggag 1020tcactggagt tgcaggagaa cccctgccag tggatagtga aaaagacatc tttgattaca 1080tccagtggaa ataccgggaa cccaaggacc ggagcgaatg aggcctgtat cctccctggc 1140agacacaacc caataggagt cttaatttat ttcttaacct ttgctatgta agggtctttg 1200gtgtttttaa atgattgttt cttcttcatg cttttgcttg caatgtagtc aataaaacc 1259
Patent applications by Sara Blumenstein, Ramat Gan IL
Patent applications by Tamar Paz-Elizur, Rehovot IL
Patent applications by Zvi Livneh, Rehovot IL
Patent applications by YEDA RESEARCH AND DEVELOPMENT CO. LTD.
Patent applications in class Detecting cancer
Patent applications in all subclasses Detecting cancer