СONTRIBUTION OF POLYMORPHIC VARIATION OF ТP53 AND XRCC1 GENES TO THE SUSCEPTIBILITY TO BREAST CANCER FOR WOMEN OF KYRGYZ AND BELARUSIAN NATIONALITY - A COMPARATIVE STUDY ON MULTIFACTOR DIMENSIONALITY REDUCTION METHODS
Vol. 64 No. 1 (2018), ORIGINAL ARTICLES. A. PROTOCOLS OF CLINICAL RESEARCH
Vol. 64 No. 1 (2018)

СONTRIBUTION OF POLYMORPHIC VARIATION OF ТP53 AND XRCC1 GENES TO THE SUSCEPTIBILITY TO BREAST CANCER FOR WOMEN OF KYRGYZ AND BELARUSIAN NATIONALITY - A COMPARATIVE STUDY ON MULTIFACTOR DIMENSIONALITY REDUCTION METHODS

ORIGINAL ARTICLES. A. PROTOCOLS OF CLINICAL RESEARCH
https://doi.org/10.37469/0507-3758-2018-64-1-95-101
Published 01.01.2018
Nazira Aldasheva
Kyrgyz-Russian Slavic UniversitY
Vyacheslav Kipen
Scientific Practical Centre of the State Committee of Forensic Expertises
Zhaynagul Isakova
Institute of Molecular Biology and Medicine
Sergey Melnov
Belarusian Research Center «Ecology»
Raisa Smolyakova
N.N. Alexandrov Republican Scientific Practical Center of Oncology and Medical RadiologY
Elnura Talaybekova
Institute of Molecular Biology and Medicine
Kyyal Makieva
National Center of OncologY
A. Aldashev
Institute of Molecular Biology and Medicine
PDF (Русский)

Keywords

BREAST CANCER
ODDS RATIO
POLYMORPHISM
REPAIR
CONTROL OF CELL CYCLE
KYRGYZ POPULATION
BELARUSIAN POPULATION
ETHNIC CHARACTERISTICS
TP53
XRCC1
MULTIFACTOR DIMENSIONALITY REDUCTION

How to Cite

Aldasheva, N., Kipen, V., Isakova, Z., Melnov, S., Smolyakova, R., Talaybekova, E., Makieva, K., & Aldashev, A. (2018). СONTRIBUTION OF POLYMORPHIC VARIATION OF ТP53 AND XRCC1 GENES TO THE SUSCEPTIBILITY TO BREAST CANCER FOR WOMEN OF KYRGYZ AND BELARUSIAN NATIONALITY - A COMPARATIVE STUDY ON MULTIFACTOR DIMENSIONALITY REDUCTION METHODS. Voprosy Onkologii, 64(1), 95–101. https://doi.org/10.37469/0507-3758-2018-64-1-95-101
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver

Abstract

Basing on Multifactor Dimensionality Reduction method we showed that polymorphic variants p.Q399R (rs25487, XRCC1) and p.P72R (rs1042522, TP53) correlated with increased risk of breast cancer for women from the Kyrgyz Republic and the Republic of Belarus. Cohort for investigation included patients with clinically verified breast cancer: 117 women from the Kyrgyz Republic (nationality - Kyrgyz) and 169 - of the Republic of Belarus (nationality - Belarusians). Group for comparison included (healthy patients without history of cancer pathology at the time of blood sampling) 102 patients from the Kyrgyz Republic, 185 - from the Republic of Belarus. Respectively genotyping of polymorphic variants p.Q399R (rs25487, XRCC1) and p.P72R (rs1042522, TP53) was done by PCR-RFLP. Analysis of the intergenic interactions conducted with MDR 3.0.2 software. Both ethnic groups showed an increase of breast cancer risk in the presence of alleles for SNPs Gln p.Q399R (XRCC1) in the heterozygous state: for the group “Kyrgyz” - OR=2,78 (95% CI=[1,60-4,82]), p=0,001; for the group “Belarusians” - OR=1,85 (95% СІ=[1Д1-2,82], p=0,004. Carriers with combination of alleles Gln (p.Q399R, XRCC1) and Pro (p.P72R, TP53) showed statistically significance increases of breast cancer risk as for patients from the Kyrgyz Republic (OR=2,89, 95% CI=[1,33-6,31]), so as for patients from the Republic of Belarus (OR=3,01, 95% CI=[0,79-11,56]).

https://doi.org/10.37469/0507-3758-2018-64-1-95-101
PDF (Русский)

References

Исакова Ж.Т., Талайбекова Э.Т., Макиева К.Б. и др. Ассоциация полиморфных маркеров Arg399Gln гена XRCC1 и Arg72Pro гена р53c раком молочной железы у женщин кыргызской национальности // Молекулярная медицина. - 2016. - № 2. - С. 40-44.

Кипень В.Н., Мельнов С.Б., Смолякова Р.М. Вклад полиморфных вариантов p.P72R (TP53) и p.V353A (HMMR) в генез спорадических случаев рака молочной железы // Проблемы здоровья и экологии. - 2015. - № 4 (46). - С. 40-46.

Кипень В.Н., Мельнов С.Б., Смолякова РМ. Роль генов XRCC1, XRCC3 и PALB2 в генезе спорадических форм рака молочной железы // Экологическая генетика. - 2015. - Т.13. - № 4. - С. 91-98.

Неупокоева А.С., Шарафутдинова Д.А., Попова И.В. и др. Выявление ассоциации полиморфных вариантов Arg194Trp и Arg399Gln гена репарации XRCC1 с раком молочной железы в Казахстане // док. Нац. Академ. наук Республики Казахстан. - 2013. - С. 68-74.

Aittomäki K., Heikkilä P, Blomqvist C. et al. Breast cancer patients with p53 Pro72 homozygous genotype have a poorer survival // Clin. Cancer Res. - 2005. - Vol. 15;11(14). - P 5098-5103.

Au W.W., Salama S.A., Sierra-Torres C.H. Functional characterization of polymorphisms in DNA repair genes using cytogenetic challenge assays // Environ Health Perspect. - 2003. - P. 1843-1850.

BCAC Commonly studied single-nucleotide polymorphisms and breast cancer: results from the Breast Cancer Association Consortium // J. Natl. Cancer Inst. - 2006. - 4;98(19). - P. 1382-1396.

Denisov E.V., Cherdyntseva N.V., Litvyakov N.V. et al. TP53 mutations and Arg72Pro polymorphism in breast cancers // Cancer Genet. Cytogenet. - 2009. - P 93-95.

Fu O.Y., Chang H.W., Lin YD. et al. Breast cancer-associated high-order SNP-SNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER) // Oncol. Rep. - 2016. - P. 17391747.

Gola D., König IR Identification of interactions using model-based multifactor dimensionality reduction // BMC Proc. - 2016. - P 135-139.

Garcia-Closas M., Chanock S. Genetic susceptibility loci for breast cancer by estrogen receptor status // Clin. Cancer Res. - 2008. - P. 8000-8009.

Hahn L.W., Ritchie M.D., Moore J.H. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions // Bioinformatics. - 2003. - P. 376-82.

Huang Y., Li L., Yu L. et al. XRCC1 Arg399Gln, Arg-194Trp and Arg280His polymorphisms in breast cancer risk: a meta-analysis // Mutagenesis. - 2009. - P 331-339.

Kohli S., Kumar R., Gupta M. et al. Impact of interactions between risk alleles on clinical endpoints in hypertension // Heart Asia. - 2016. - P. 83-89.

Luo W.P., Li B., Lin F.Y et al. Joint effects of folate intake and one-carbon-metabolizing genetic polymorphisms on breast cancer risk: a case-control study in China // Sci. Rep. - 2016. - P. 29555.

Marcus M.W., Raji O.Y., Duffy S.W. et al. Incorporating epistasis interaction of genetic susceptibility single nucleotide polymorphisms in a lung cancer risk prediction model // Int. J. Oncol. - 2016. - P 361-370.

Masson M., Niedergang C., Schreiber V. et al. XRCC1 is specifically associated with poly(ADP-ribose) polymerase and negatively regulates its activity following DNA damage // Mol. Cell. Biol. - 1998. - P 35633571.

Mathews L., Cabarcas S., Hurt E. DNA Repair of Cancer Stem Cells // Springer. - 2013. -P 178 ( 978-94007-4590-2). ISBN: 9789400745902

Mei C., Hou M., Guo S. et al. Polymorphisms in DNA repair genes of XRCC1, XPA, XPC, XPD and associations with lung cancer risk in Chinese people // Thorac. Cancer. - 2014. - P. 232-242.

Moore J. Computational analysis of gene-gene interactions using multifactor dimensionality reduction // Expert review of molecular diagnostics. - 2004. - 4 (6). - P 795-803.

Moore JH, Gilbert JC, Tsai CT [et al.] A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility // Journal of Theoretical Biology. - 2006. - Vol. 241 (2). - P. 252-261.

Moore J.H., Williams S.M. Epistasis and its implications for personal genetics // In: Am. J. Hum. Genet. - 2009. - P. 309-320.

Motsinger AA, Ritchie MD Multifactor dimensionality reduction: an analysis strategy for modelling and detecting gene-gene interactions in human genetics and pharmacogenomics studies // Hum Genomics. - 2006. - P 318-328.

Naushad S.M., Vijayalakshmi S.V., Rupasree Y. et al. Multifactor dimensionality reduction analysis to elucidate the cross-talk between one-carbon and xenobiotic metabolic pathways in multi-disease models // Mol. Biol. Rep. - 2015. - P 1211-1224.

Rivlin N., Brosh R., Oren M. et al. Mutations in the p53 Tumor Suppressor Gene: Important Milestones at the Various Steps of Tumorigenesis // Genes & Cancer. - 2012. - P. 466-474

Rizvi S., Raza S.T., Rahman Q. et al. Role of GNB3, NET, KCNJ11, TCF7L2 and GRL genes single nucleotide polymorphism in the risk prediction of type 2 diabetes mellitus // Biotech. - 2016. - P 255.

Slyskova J., Dusinska M., Kuricova M. et al. Relationship between the capacity to repair 8-oxoguanine, biomarkers of genotoxicity and individual susceptibility in styrene-exposed workers // Mutat Res. - 2007. - P 101-111.

The International Agency for Research on Cancer (IARC) is part of the World Health Organization // PRESS RELEASE № 223. - 12 Dec. 2013.

Toyama T., Zhang Z., Nishio M. et al. Association of TP53 codon 72 polymorphism and the outcome of adjuvant therapy in breast cancer patients // Breast Cancer Res. - 2007. - Vol. 9 (3). - R34. - P. 1-10.

Wu K., Su D., Lin K. et al. XRCC1 Arg399Gln gene polymorphism and breast cancer risk: a meta-analysis based on case-control studies // Asian Pac J. Cancer Prev. - 2011. - P 2237-2243.

Xiao S., Zeng X., Fan Y. et al. Gene Polymorphism Association with Type 2 Diabetes and Related Gene-Gene and Gene-Environment Interactions in a Uyghur Population // Med. Sci. Monit. - 2016. - P. 474-487.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

© АННМО «Вопросы онкологии», Copyright (c) 2018

Most read articles by the same author(s)