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 Table of Contents  
REVIEW ARTICLE
Year : 2020  |  Volume : 11  |  Issue : 1  |  Page : 135

Molecular biomarkers for early detection and prevention of ovarian cancer—A gateway for good prognosis: A narrative review


1 Department of Zoology, Baba Math Nath University, Rohtak, Haryana, India
2 Department of Genetics, Maharishi Dayanand University, Rohtak, Haryana, India
3 Department of Public Health Dentistry, Post Graduate Institute of Dental Sciences, Rohtak, Haryana, India

Date of Submission28-Feb-2019
Date of Acceptance12-Sep-2019
Date of Web Publication03-Sep-2020

Correspondence Address:
Vipul Yadav
Department of Public Health Dentistry, Post Graduate Institute of Dental Sciences, Rohtak, Haryana
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijpvm.IJPVM_75_19

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  Abstract 


Gynecological cancers are one of the most lethal and deadliest cancers in the world. In India, the prevalence of ovarian cancer accounts for 2.5% to 3%. Despite the availability of improved treatment option along with improved technology, the survival rate of ovarian cancer in the early-stage and the advanced stage is poor. Therefore, due to the heterogeneity of ovarian cancer, to detect it at an early stage and to prevent further mortality turns out to be a big challenge. Researchers are still in the process to identify any single biomarker with good sensitivity and specificity. Various traditional and serum approaches to identify ovarian cancer have been successful in the early stages. The invention of molecular biomarkers such as the use of genomic profiling, DNA methylation, and other approaches have proven to be of higher sensitivity and specificity, which overall affects the prognosis of ovarian cancer. With the use of whole-genome analysis, the detection of possible location of critical tumor suppressor gene (TSGs) in the paired region of chromosomes has been identified, which are associated with BRCA1 and BRCA2 which further makes these novel molecular biomarkers as potential biomarkers. Moreover, studies are required to assess the combined use of traditional, molecular biomarkers that might be useful for enhanced sensitivity and specificity for early detection and prevention of ovarian cancer in early stages which will lead to reduced mortality and good prognosis

Keywords: Molecular biomarkers, ovarian cancer, preventive medicine


How to cite this article:
Yadav G, Vashisht M, Yadav V, Shyam R. Molecular biomarkers for early detection and prevention of ovarian cancer—A gateway for good prognosis: A narrative review. Int J Prev Med 2020;11:135

How to cite this URL:
Yadav G, Vashisht M, Yadav V, Shyam R. Molecular biomarkers for early detection and prevention of ovarian cancer—A gateway for good prognosis: A narrative review. Int J Prev Med [serial online] 2020 [cited 2020 Sep 24];11:135. Available from: http://www.ijpvmjournal.net/text.asp?2020/11/1/135/294322




  Introduction Top


Woman reproductive organs constitute five main types of cancer (cervical, ovarian, uterine, vaginal, and vulva) collectively termed as gynecological cancers. Among these, ovarian cancer is the most lethal cancer which if not detected at the earliest stage leads to death. In 2017, more than half of the women died in the U.S due to these diseases and 14,080 out of 22,440 women were diagnosed with ovarian cancer. It is one of the deadliest and fifth most widespread cancer-related death among all gynecological cancer among women in the world. In India, the prevalence of ovarian cancer accounts for 2.5%. The mortality rate of ovarian cancer is up to some extent higher for Caucasoid women than for African-American women.[1]

Ovarian cancer is defined as an abnormal growth of cells that arises from the cells of ovaries. There are different kinds of ovarian cancer but most commonly it arises from the epithelial lining cells of ovaries. Ovarian carcinoma includes cancer of ovaries, fallopian tube, and primary peritoneal (lining tissues of the pelvis and abdomen) cancer, less commonly it includes germ cell tumors and sex cord-stromal tumors.[2]

Histologically, ovarian cancer is further classified as serous, mucinous, endometroid, clear cell, and mixed undifferentiated.[2] Cancer staging is a fundamental principle and one of the first and most important steps used to predict the patient outcome as well as to plan the most appropriate treatment. The most commonly used staging system for the ovarian cancer is FIGO (International Federation of Gynecology and Obstetrics) which provides more accurate prognostic information and better guidance on the management of ovarian cancer. The epithelial ovarian cancer does not present with earlier signs and symptoms and there are no specific efficient biomarkers to detect it which eventually leads it to be diagnosed at advanced FIGO staging. Despite improved treatment option, the survival rates of ovarian cancer with advanced stage FIGO III and IV are only 10–30% when compared with earlier stages (FIGO I and II) (80–95%).[3] In the earlier stage, ovarian cancer presented very few signs and symptoms including premenstrual syndrome, irritable bowel syndrome, and temporary bladder problem.

Detection of ovarian carcinoma at its earlier stage has become a big challenge for the physicians as well as researchers. Currently, no proven single biomarker with adequate sensitivity and specificity till date has been discovered to detect ovarian carcinoma at an early stage. The researchers are now focusing to find out the suitable and appropriate solution to detect ovarian cancer at an earlier stage through the identification and validation of novel biomarkers using new technologies.

The focus of this review will be on molecular approaches that are currently being employed in the discovery of new ovarian cancers biomarkers. The review will also highlight circulating biomarkers either currently being utilized or in development, that are present in human body fluids such as plasma, serum, and urine.


  Molecular Markers in Hereditary Ovarian Cancer Top


Hereditary breast and ovarian cancer (HBOC) is significantly linked with a high possibility for ovarian and breast cancer when compared to the general population. HBOC is characterized by both ovarian and breast cancer, only breast cancer in males and both ovarian and breast cancer in females. BRCA1 and BRCA2 genes are expressed as autosomal dominant with incomplete penetrance and serve as tumor suppressor gene. BRCA1 and BRCA2 genes are linked with DNA repair and cellular apoptosis. BRCA mutations account for 20%–50% lifetime risk for developing ovarian cancer. BRCA-associated ovarian cancers have a good response rate with increased survival of patients based on platinum-based chemotherapy.[4]

The median survival time for the BRCA noncarriers is (37.8 months) lesser when compared to BRCA carriers (53.4) months.[5]

HNPCC (Lynch II syndrome), has a higher tendency for right colon cancer (without polyps) and endometrial-ovarian cancer with autosomal dominant gene expression. Lynch II syndrome has most of the germ-line mutations for hMLH1, hMSH2, hMSH6 and PMS2 (DNA mismatch repair). Women have a 12% lifetime risk for developing ovarian cancer with HNPCC syndrome.[6]


  Genetic Biomarkers for Ovarian Cancer Top


BRCA1 and BRCA2 mutation

Out of all ovarian malignancies, the prevalence of hereditary ovarian cancer accounts for 10 to 15% cases linked with germline mutations in the BRCA1 and BRCA2 genes which are mainly involved in genetic testing worldwide. The epithelial ovarian cancer associated with mutations of BRCA1 and BRCA2 has a cumulative lifetime risk ranging from 40%–50% and 20%–30%, respectively. The odds of having mutations in BRCA1 are four times as BRCA2 mutations.[7]

The hereditary predisposition of ovarian cancer is 10–15% when compared to 5 to 10% of breast cancer cases.[8] With the recent advancements in the genetics of ovarian cancer (RAD51C and RAD51D)[9],[10]BRCA1 and BRCA2 are still the most distinguished genes which contribute to the 4.6-fold relative risk of ovarian cancer. The lifetime ovarian cancer risks associated with deleterious mutations in BRCA1 accounts for 20%–50% and for BRCA2 it is approximately 10%–20%. Studies have shown that BRCA1[11] accounts to significantly younger mean age at the diagnosis of ovarian carcinoma than BRCA2[12] mutation carriers which are still significantly less when compared with the general population[13] considering the severe influence of BRCA1 mutations. Based on histological characteristics, high-grade serous ovarian carcinoma subtype predominantly[14] has both BRCA1 and BRCA2 mutation carriers. For the DNA repair, genomic stability maintenance and control of cell cycle checkpoint, genes which have been of utmost importance are BRCA1 and BRCA2.[15] According to Kinzler and Vogelstein's definition,[16] these genes belong to the group of a concierge which is indirectly related to tumor initiation and promotion when weighted against a gatekeeper which is otherwise directly involved. Thus, the caretaker inactivation leads to oncogenic mutation and tumor suppressor gene (TSG) further leading to genomic instability, resulting in the prevention of cell death and function of cell cycle checkpoint, and enabling tumor growth.

Nevertheless, BRCA1 and BRCA2 are responsible for the maintenance of genomic stability as they control cell growth and hence are considered TSGs.[17]

The BRCA1 and BRCA2 proteins are implicated in the refurbishment of DSBs (double-stranded breaks) through the HR pathway. Use of substitute pathway is actually useful for refurbishing the DSBs which is mainly due to deficiency of BRCA1 or BRCA2 leading to accretion of mutation events which results in a greater chance of chromosome instability.[10],[18]

Various studies associated with BRCA1 and BRCA2 mutations have been carried out in different parts of the world. One such study was done in Greece, where a cohort of 592 patients were screened for commonest BRCA1 mutations for sporadic OC, out of which 27 mutations of BRCA1 were carriers (4.6%)[11]

In Belgium, a study among 193 sporadic cases of breast and ovarian cancer by de Leeneer et al. for BRCA1/2 stated that there were 3 carriers out of 7 with both breast and ovarian cancer women (42.9%) but no carrier were found among 6°C patients.[19] In Poland, 21 out of 151 consecutive OC patients accounted for BRCA1/2 mutations (13.9%)[20] while for 74 Russian patients, the prevalence of the BRCA1/2 mutation was 19%.[21] In Korea, BRCA1/2 mutations patients with a positive family history of ovarian cancer patients were 13 of 40 (33%) while 23 had no positive family history out of 283 patients (8%).[22]

RAD51C

RAD51C was first recognized by Meindl et al. as a rare hereditary breast and ovarian cancer (HBOC) gene.[23] Meindl and his coassociates screened 1100 hereditary breast (HBC) and HBOC families for RAD51C mutations and hypothesized that RAD51C biallelic mutations causing Fanconi anemia would be similar to BRIP1 and BRCA2 and monoallelic mutations would cause HBOC. RAD51C [RAD51 homolog C], is a member of the RAD51 gene family, located on chromosome 17q23, which is expressed with the highest level in testis, followed by the heart muscle, spleen, and prostate, and other various human tissue and organs that encodes strand-transfer proteins in various human tissues.[24],[25]

BRCA1, BRCA2, PALB2, BRIP1, and RAD51C are involved in DNA damage repair by homologous recombination pathway.[26]

For women at the age of 80, there is a 10% risk of developing ovarian cancer carrying a RAD51D mutation. In a consanguineous family with high penetrance, a homozygous biallelic mutation in the RAD51C gene showed Fanconi anemia-like disorder that was associated with heterozygous mutations with high penetrance[27] while an increased risk of breast and ovarian cancer were associated with rare heterozygous mutations with high penetrance.[26]

A study conducted by Meindl et al. examined 1100 affected individuals from pedigrees with gynecological cancers that were negative for mutations in BRCA1 and BRCA2 from German families and found that there was no mutation in families with only breast cancer as well as healthy control while both breast and ovarian cancer had six pathogenic RAD51C mutations.

ATM mutations

The two genes which have been recognized as high penetrance allele are BRCA1 and BRCA2 for ovarian cancer; while the third gene is ATM with high penetrance alleles. Ataxia Telangiectasia Mutated (ATM) gene is situated at the short arm chromosome of locus 11q22-23, encoding a large protein belonging to a family of PI3K related kinases.[28],[29] The function of this protein is to regulate various cellular responses to genotoxic stress.

The main function of ATM is that it acts as an activator of the DNA damage response cascade after DNA double-strand breaks.[30]ATM exists as a homodimer, which upon activation dissociates into active monomers via autophosphorylation at Ser1981 after DNA damage. At the DNA damage site, ATM is recruited and in its active form by the property of direct and indirect phosphorylation events of a large number of proteins, activates a signaling cascade which eventually activates cell-cycle checkpoints and the initiation of DNA repair.[30]

p53 mutation

p53 gene is so-called as a tumor-suppressor gene. During the past several decades, a lot of promising research at the molecular level is being carried out for understanding these gene mutations which still remains a challenge for the researchers to serve for the community.[31]

The protein of p53 (also known as TP53) binds to a specific site at DNA and regulates cell multiplication. Multiplication of cells that have continual DNA damage is blocked by p53 protein but if the damage is beyond repair, cell death occurs via apoptosis through p53 gene. Due to mutation, p53 gene gets deactivated and the damaged cells continuously proliferate which eventually leads to carcinogenesis.[32] it has been found that 50% of invasive epithelial ovarian cancer contain an abnormal p53 gene, although in almost no borderline epithelial cancers this gene has been detected.[33],[34] Mutations in p53 are mainly from endogenous origin but exogenous exposure like tobacco smoke may also account to a certain extent[35] which are most common but transient.[36]

Thus, p53 transitions might occur during normal cell proliferation due to random errors in DNA synthesis. Consequently, Fathalla- Pike hypothesis stated that ovulation may also induce p53 transitions which increase ovarian epithelial cell proliferation. During ovulation-induced proliferation these random changes in p53 gene arise from errors which disable the protein, thereby providing the gateway to other cellular damage further leading to cancer. p53 mutations are usually seen and expressed in its early and localized stage but one would see them equally in both localized and advanced cancers.


  Recent Molecular Biomarkers of Ovarian Cancer Top


Due to significant heterogeneity among the various ovarian cancer subtypes, it becomes quite difficult to search for new biomarkers. The recent advancement of genomics, transcription, and proteomic profiling with the help of tumours in serum, plasma, and urine acts as a newer source for identifying potential cancer screening markers.

Whole genome analysis

The whole genomic analysis includes comparative genomic hybridization (CGH), LOH (loss of hybridization), spectrokaryotyping (SKYP), and serial analysis of gene expression (SAGE). Due to the advancements in technology these molecular markers are now being used in rapid diagnosis and prognosis of the risk of the ovarian cancer patients. These molecular markers have higher sensitivity and specificity and are now considered as potential biomarkers.

Loss of heterozygosity analysis (LOH)

LOH denotes the lack of tumor suppressor gene in both the region of paired chromosomes which is a usual phenomenon in a cancer gene. The chance of determining possible locations of critical tumor suppressor genes and the identification of possible cancer biomarkers is provided through the loss of heterogeneity analysis.

Modification in polymorphic markers to homozygous state in the tumour DNA from a heterozygous state in the germline DNA is the most common genetic events in numerous cancer types which results in loss of heterozygosity.[37]

Polymorphic markers (microsatellites or single-nucleotide polymorphisms) are the best way to predict loss of heterozygosity which are easily identified in a human germline DNA and cancer cells by the presence of heterozygosity at a genetic locus and absence of heterozygosity in the cancer cells at a particular locus.[38]

Patients who have germline mutations in tumor cells show loss of heterozygosity in genes BRCA1 and BRCA2 which results in loss of wild type allele. These genes regulate the DNA repair pathway by binding to RAD51 which produces proteins.[38]

Comparative genomic hybridization (CGH)

Comparative genomic hybridization is also called an in-situ hybridization technique which is a whole-genome assay that detects gains or losses of gene copy number at the chromosomal level. With the use of this assay, a number of chromosome regions with abnormal gene copy number in ovarian cancer have been identified and have been further evaluated as potential prognostic markers.[39]

In primary ovarian cancer, the most common gains were revealed in chromosome 8 and 8q (i.e. 36–75% of tumors), and the most common losses has been found to be at 8p (>30% of tumors).[40]

At the chromosomal level, CGH is also being used to differentiate histological subtypes of ovarian cancer (serous and nonserous), defining whether there is chromosomal gain or loss in each group. Among the histological variants of ovarian cancer, the serous group had more frequent chromosomal imbalances than nonserous cancers and discrete copy number anomaly were identified at 11 and 12. Moreover, in a serous group of cancers, the most common anomaly was the addition of 1q and 8q and deletion of 8p and 17p.

The CGH is used to detect copy number changes by replacing metaphase chromosomes with a high resolution (10 Mb for detecting deletion and not less than or equal to 3 Mb for high-level amplifications) through hybridization target mapped with sequenced clones. The high resolution of array CGH allows us to detect copy number changes plotted onto glass slides, governed by the size and density of the nucleotide sequences which are determined by fine-mapping with the specific determination of the boundaries and amplitude.[40]

DNA methylation

DNA methylation is linked with gene expression through its epigenetic mechanism. A cytosine residue of CG (CpG) dinucleotides is the area where the DNA methylation occurs. DNA modification occurs predominantly on guanosine followed by cytosines in the DNA sequence. These CpG dinucleotides are linked with promoter regions and are usually clustered in small segments of DNA termed CpG islands. In the promoter region of a gene, location of CpG island for a given stretch of cytosines which is methylated, such a region would be termed as 'hypermethylated (silenced by methylation). On the other hand, in a CpG island when a given stretch of cytosines in the promoter region of a gene is not methylated, in this case, it would be 'hypomethylated (not silenced by methylation).[41]

In ovarian cancer, gene promoters where anomalous methylation of CpG islands occur is associated with loss of gene expression, DNA methylation provides a substitute pathway which is linked with the functional loss of TSG resulting in gene deletion.[42]

One of the most studied TSG associated with ovarian cancer in BRCA1 and BRCA2. In the case of ovarian cancer, numerous other conventional TSGs endure hypermethylation. Ovarian tumors with discrete carcinogenic mechanism have TSGs that are involved in DNA mismatch repair (MMR). Germ-line mutations in the hMLH1, hMSH2, MGMT genes results in defective MMR.[43]

Oncogenes, DNA satellites, and DNA reparative elements mainly result in DNA hypomethylation. In addition to the hypermethylation (promoter-associated CpG islands), overexpression of protein expressed genes resulting from global hypomethylation and specific hypomethylation plays a significant role in ovarian cancer. Hypomethylation in the centromere disrupts the similar elements through gene transcription at chromosomal translocations further leading to genomic instability.[44] Hypomethylation is increased from normal tissue to ovarian cancer as well as it has increased in an advanced stage. Hypomethylation also increases from normal tissue to low grade to high-grade ovarian cancer.[27]

Specktrokaryotyping

Specktrokaryptyping showed both simple numerical, structural, and complex aberrant changes involving the use of cytogenetic analyses of ovarian carcinomas. Analysis of ovarian carcinomas by conventional cytogenetic methods cannot determine the highly abnormal karyotypes with conformity.

Cytogenetic study analysis showed an independent deleterious effect related to ovarian carcinomas with chromosomal aberrations on 1p1 and 3p1. The major drawback of this study was difficulty in identifying specific recurrent structural aberrations in a very large chromosomal region containing numerous genes. Subsequently, with the advancement in the molecular cytogenetic study (i.e. spectral karyotyping) over molecular studies in identifying recurrent chromosomal alterations, there has been a landmark achievement in identifying the disruption or breakpoints in the chromosomal regions containing various genes.[42]


  Conclusions Top


Various tumor biomarkers have become important in the management of ovarian cancer. These markers have been useful in the early diagnosis and treatment, early prognosis, and detecting recurring diseases. The single tumor markers always have limited sensitivity and specificity for differentiating benign and malignant lesions. Hence, to overcome the limited sensitivity and specificity, molecular markers play an important role in assessing risk at an earlier stage and differentiating benign and malignant tumor among high-risk patients. Various combinations have proven to be useful in improving the sensitivity and specificity of serum or urine markers for the early detection of invasive ovarian cancer as ovarian cancers have differential expression of various biomarkers. The review highlights the newer molecular approaches for ovarian cancer that will improve patient compliance, early screening, and detection that would decrease morbidity and mortality. Further research needs to be done to identify and explore newer markers with increased sensitivity, specificity, cost-effective and painless procedure with early detection of the malignant lesion.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Sreeja S, Ayala T, Heejin L, Shihong L, Shifang Z, Andre G, et al. Early detection biomarkers for ovarian cancer. J Oncol 2012;14:12-26.  Back to cited text no. 1
    
2.
Cho KR, Shih IeM. Ovarian cancer. Ann Rev Pathol 2009;4:287-313.  Back to cited text no. 2
    
3.
Kiechle M, Jacobsen A, Schwarz-Boeger U. Comparative genomic hybridization detects genetic imbalances in primary ovarian carcinomas as correlated with grade of differentiation. Cancer 2001;9:1534-40.  Back to cited text no. 3
    
4.
Rubin SC. Chemoprevention of hereditary ovarian cancer. N Engl J Med 1998;339:469-71.  Back to cited text no. 4
    
5.
Ben David Y, Chetrit A, Hirsh-Yechezkel G, Friedman E, Beck BD, Beller U, et al. Effect of BRCA mutations on the length of survival in epithelial ovarian tumors. J Clin Oncol 2002;20:463-6.  Back to cited text no. 5
    
6.
Prat J, Ribe A, Gallardo A. Hereditary ovarian cancer. Hum Pathol 2005;36:861-70.  Back to cited text no. 6
    
7.
Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics, 2002. CA Cancer J Clin 2005;55:74-108.  Back to cited text no. 7
    
8.
Carroll JC, Cremin C, Allanson J, Blaine SM, Dorman H, Gibbons CA, et al. Hereditary breast and ovarian cancers. Can Fam Physician 2008;54:1691-2.  Back to cited text no. 8
    
9.
Russo A, Calò V, Bruno L, Rizzo S, Bazan V, Di Fede G. Hereditary ovarian cancer. Crit Rev Oncol Hematol 2009;69:28-44.  Back to cited text no. 9
    
10.
Agnantis NJ, Fatouros M, Arampatzis I, Briasoulis E, Ignatiadou EV, Paraskevaidis E, et al. Carcinogenesis of breast cancer: Advances and applications. Gastric Breast Cancer 2004;3:13-22.  Back to cited text no. 10
    
11.
Stavropoulou AV, Fostira F, Pertesi M, Tsitlaidou M, Voutsinas GE, Triantafyllidou O, et al. Prevalence of BRCA1 mutations in familial and sporadic greek ovarian cancer cases. PLoS One 2013;8:e58182.  Back to cited text no. 11
    
12.
de Jong MM, Nolte IM, te Meerman GJ, van der Graaf WT, Oosterwijk JC, Kleibeuker JH, et al. Genes other than BRCA1 and BRCA2 involved in breast cancer susceptibility. J Med Genet 2002;39:225-42.  Back to cited text no. 12
    
13.
UCSC Genome Bioinformatics Group. Available from: http://genome.ucsc.edu/cgi-bin/hgGateway. [Last accessed on 2020 Jan 12].  Back to cited text no. 13
    
14.
Shaw PA, McLaughlin JR, Zweemer RP, Narod SA, Risch H, Verheijen RH, et al. Histopathologic features of genetically determined ovarian cancer. Int J Gynecol Pathol 2002;21:407-11.  Back to cited text no. 14
    
15.
Foster KA, Harrington P, Kerr J, Russell P, DiCioccio RA, Scott IV, et al. Somatic and germline mutations of the BRCA2 gene in sporadic ovarian cancer. Cancer Res 1996;56:3622-5.  Back to cited text no. 15
    
16.
Ensembl Genome Browser. Available from: http://www.ensembl.org/index.html.  Back to cited text no. 16
    
17.
Liede A, Malik IA, Aziz Z, Rios Pd Pde L, Kwan E, Narod SA. Contribution of BRCA1 and BRCA2 mutations to breast and ovarian cancer in Pakistan. Am J Hum Genet 2002;71:595-606.  Back to cited text no. 17
    
18.
McCoy ML, Mueller CR, Roskelley CD. The role of the breast cancer susceptibility gene 1 (BRCA1) in sporadic epithelial ovarian cancer. Reprod Biol Endocrinol 2003;1:72-6.  Back to cited text no. 18
    
19.
De Leeneer K, Coene I, Crombez B, Simkens J, Van den Broecke R, Bols A, et al. Prevalence of BRCA1/2 mutations in sporadic breast/ovarian cancer patients and identification of a novel de novo BRCA1 mutation in a patient diagnosed with late onset breast and ovarian cancer: Implications for genetic testing. Breast Cancer Res Treat 2012;132:87-95.  Back to cited text no. 19
    
20.
Brozek I, Ochman K, Debniak J, Morzuch L, Ratajska M, Stepnowska M, et al. High frequency of BRCA1/2 germline mutations in consecutive ovarian cancer patients in Poland. Gynecol Oncol 2008;108:433-7.  Back to cited text no. 20
    
21.
Smirnova TY, Pospekhova NI, Lyubchenko LN, Tjulandin SA, Gar'kavtseva RF, Ginter EK, et al. High incidence of mutations in BRCA1 and BRCA2 genes in ovarian cancer. Bull Exp Biol Med 2007;144:83-5.  Back to cited text no. 21
    
22.
Pohlreich P, Zikan M, Stribrna J, Kleibl Z, Janatova M, Kotlas J, et al. High proportion of recurrent germline mutations in the BRCA1 gene in breast and ovarian cancer patients from the Prague area. Breast Cancer Res 2005;7:R728-36.  Back to cited text no. 22
    
23.
Meindl A, Hellebrand H, Wiek C, Erven V, Wappenschmidt B, Niederacher D, et al. Germline mutations in breast and ovarian cancer pedigrees establish RAD51C as a human cancer susceptibility gene. Nat Genet 2010;42:410-4.  Back to cited text no. 23
    
24.
Dosanjh MK, Collins DW, Fan W, Lennon GG, Albala JS, Shen Z, et al. Isolation and characterization of RAD51C, a new human member of the RAD51 family of related genes. Nucleic Acids Res 1998;26:1179-84.  Back to cited text no. 24
    
25.
Takata M, Sasaki MS, Tachiiri S, Fukushima T, Sonoda E, Schild D, et al. Chromosome instability and defective recombinational repair in knockout mutants of the five Rad51 paralogs. Mol Cell Biol 2001;21:2858-66.  Back to cited text no. 25
    
26.
Vaz F, Hanenberg H, Schuster B, Barker K, Wiek C, Erven V, et al. Mutation of the RAD51C gene in a fanconi anemia-like disorder. Nat Genet 2008;42:406-9.  Back to cited text no. 26
    
27.
Feinberg, AP, Vogelstein, B. Hypomethylation of ras oncogenes in primary human cancers. Biochem Biophys Res Commun 1983;111:47-54.  Back to cited text no. 27
    
28.
Savitsky K, Bar-Shira A, Gilad S, Rotman G, Ziv Y, Vanagaite L, et al. A single ataxia telangiectasia gene with a product similar to PI-3 kinase. Science 1995;268:1749-53.  Back to cited text no. 28
    
29.
Zhao S, Weng YC, Yuan SS, Lin YT, Hsu HC, Lin SC, et al. Functional link between ataxia-telangiectasia and Nijmegen breakage syndrome gene products [see comments]. Nature 2000;405:473-7.   Back to cited text no. 29
    
30.
Shiloh Y. Ataxia-telangiectasia and the Nijmegen breakage syndrome: Related disorders but genes apart. Annu Rev Genet 2013;31:635-62.  Back to cited text no. 30
    
31.
Greenblatt MS, Bennett WP, Hollstein M, Harris CC. Mutations in the p53 tumor suppressor gene: Clues to cancer etiology and molecular pathogenesis. Cancer Res 1994;54:4955-78.  Back to cited text no. 31
    
32.
Russell SE, Hickey GI, Lowry WS, White P, Atkinson RJ. Allele loss from chromosome 17 in ovarian cancer. Oncogene 1990;5:1581-3.  Back to cited text no. 32
    
33.
Annual Report on the Treatment of Gynecologic Cancer. In: Kottmeier HL, editor. International Federation of Gynecologists and Obstetricians Stockholm, Sweden 1979:17.  Back to cited text no. 33
    
34.
Serov SF, Scully RE. Histological typing of ovarian tumors. In: International Histological Classification of Tumors, No. 9. Geneva: World Health Organization; 1973.  Back to cited text no. 34
    
35.
Wade-Evans A, Jenkins JR. Precise epitope mapping of the murine transformation-associated protein, p53. EMBO J 1985;4:699-706.  Back to cited text no. 35
    
36.
Banks L, Matlashewski G, Crawford L. Isolation of human-p53-specific monoclonal antibodies and their use in the studies of human p53 expression. Eur J Biochem 1986;159:529-34.  Back to cited text no. 36
    
37.
Cvetkovic D, Pisarcik D, Lee C, Hamilton TC, Abdollahi A. Altered expression and loss of heterozygosity of the LOT1 gene in ovarian cancer. J Oncol 2004;95:449-55.  Back to cited text no. 37
    
38.
Shin DS, Pellegrini L, Daniels DS, Yelent B, Craig L, Bates D, et al. Full-length archaeal RAD51 structure and mutants: Mechanisms for RAD51 assembly and control by BRCA2. EMBO J 2003;22:4566-76.  Back to cited text no. 38
    
39.
Weiss MM, Hermsen MA, Meijer GA, van Grieken NC, Baak JP, Kuipers EJ, et al. Comparative genomic hybridization. Mol Pathol 1999;52:243-51.  Back to cited text no. 39
    
40.
Patael-Karasik Y, Daniely M, Gotlieb WH, Ben-Baruch G, Schiby J, Barakai G, et al. Comparative genomic hybridization in inherited and sporadic ovarian tumors in Israel. Cancer Genet Cytogenet 2000;121:26-32.  Back to cited text no. 40
    
41.
Losi L, Fonda S, Saponaro S, Chelbi ST, Lancellotti C, Gozzi G, et al. Distinct DNA methylation profiles in ovarian tumors: Opportunities for novel biomarkers. Int J Mol Sci 2018;19:E1559.  Back to cited text no. 41
    
42.
Imataka G, Arisaka O. Chromosome analysis using spectral karyotyping (SKY). Cell Biochem Biophys 2012;62:13-7.  Back to cited text no. 42
    
43.
Senturk E, Cohen S, Dottino PR, Martignetti JA. A critical re-appraisal of BRCA1 methylation studies in ovarian cancer. Gynecol Oncol 2010;119:376-83.  Back to cited text no. 43
    
44.
Feinberg AP, Vogelstein B. Hypomethylation distinguishes genes of some human cancers from their normal counterparts. Nature 1983;301:89-92.  Back to cited text no. 44
    




 

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