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Márquez-González RM, Saucedo-Sariñana AM, de Jesús Tovar-Jacome C, Barros-Núñez P, Gallegos-Arreola MP, Orozco-Gutiérrez MH, Mariscal-Ramírez I, Pineda-Razo TD, Alcaraz-Wong AA, Marín-Contreras ME, Rosales-Reynoso MA. NME1 and DCC variants are associated with susceptibility and tumor characteristics in Mexican patients with colorectal cancer. J Egypt Natl Canc Inst 2024; 36:10. [PMID: 38556604 DOI: 10.1186/s43046-024-00213-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/06/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) ranks third in cancer incidence globally and is the second leading cause of cancer-related mortality. The nucleoside diphosphate kinase 1 (NME1) and netrin 1 receptor (DCC) genes have been associated with resistance against tumorigenesis and tumor metastasis. This study investigates the potential association between NME1 (rs34214448 G > T and rs2302254 C > T) and DCC (rs2229080 G > C and rs714 A > G) variants and susceptibility to colorectal cancer development. METHODS Samples from 232 colorectal cancer patients and 232 healthy blood donors underwent analysis. Variants were identified using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methodology. Associations were assessed using odds ratios (OR), and the p values were adjusted with Bonferroni test. RESULTS Individuals carrying the G/T and T/T genotypes for the NME1 rs34214448 variant exhibited a higher susceptibility for develop colorectal cancer (OR = 2.68, 95% CI: 1.76-4.09, P = 0.001 and OR = 2.47, 95% CI: 1.37-4.47, P = 0.001, respectively). These genotypes showed significant associations in patients over 50 years (OR = 2.87, 95% CI: 1.81-4.54, P = 0.001 and OR = 2.99, 95% CI: 1.54-5.79, P = 0.001 respectively) and with early Tumor-Nodule-Metastasis (TNM) stage (P = 0.001), and tumor location in the rectum (P = 0.001). Furthermore, the DCC rs2229080 variant revealed that carriers of the G/C genotype had an increased risk for develop colorectal cancer (OR = 2.00, 95% CI: 1.28-3.11, P = 0.002) and were associated with age over 50 years, sex, and advanced TNM stages (P = 0.001). CONCLUSIONS These findings suggest that the NME1 rs34214448 and DCC rs2229080 variants play a significant role in colorectal cancer development.
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Affiliation(s)
- Rosa María Márquez-González
- División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social (IMSS), Colonia Independencia Guadalajara, Sierra Mojada # 800, Jalisco, CP, 44340, México
| | - Anilú Margarita Saucedo-Sariñana
- División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social (IMSS), Colonia Independencia Guadalajara, Sierra Mojada # 800, Jalisco, CP, 44340, México
| | - César de Jesús Tovar-Jacome
- División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social (IMSS), Colonia Independencia Guadalajara, Sierra Mojada # 800, Jalisco, CP, 44340, México
| | - Patricio Barros-Núñez
- Doctorado en Genética Humana, Centro Universitario de Ciencias de La Salud. Universidad de Guadalajara, Jalisco, México
| | - Martha Patricia Gallegos-Arreola
- División de Genética, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, México
| | - Mario Humberto Orozco-Gutiérrez
- División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social (IMSS), Colonia Independencia Guadalajara, Sierra Mojada # 800, Jalisco, CP, 44340, México
| | - Ignacio Mariscal-Ramírez
- Servicio de Oncología Médica, Hospital de Especialidades, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, México
| | - Tomas Daniel Pineda-Razo
- Servicio de Oncología Médica, Hospital de Especialidades, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, México
| | - Aldo Antonio Alcaraz-Wong
- Servicio de Anatomía Patológica, Hospital de Especialidades, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, México
| | - María Eugenia Marín-Contreras
- Servicio de Gastroenterología, Hospital de Especialidades, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, México
| | - Mónica Alejandra Rosales-Reynoso
- División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social (IMSS), Colonia Independencia Guadalajara, Sierra Mojada # 800, Jalisco, CP, 44340, México.
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Sharma B, Angurana S, Bhat A, Verma S, Bakshi D, Bhat GR, Jamwal RS, Amin A, Qadri RA, Shah R, Kumar R. Genetic analysis of colorectal carcinoma using high throughput single nucleotide polymorphism genotyping technique within the population of Jammu and Kashmir. Mol Biol Rep 2021; 48:5889-5895. [PMID: 34319543 DOI: 10.1007/s11033-021-06583-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/20/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND SNP genotyping has become increasingly more common place to understand the genetic basis of complex diseases like cancer. SNP-genotyping through MassARRAY™ is a cost-effective method to quantitatively analyse the variation of gene expression in multiple samples, making it a potential tool to identify the underlying causes of colorectal carcinogenesis. METHODS In the present study, SNP genotyping was carried out using Agena MassARRAY™, which is a cost-effective, robust, and sensitive method to analyse multiple SNPs simultaneously. We analysed 7 genes in 492 samples (100 cases and 392 controls) associated with CRC within the population of Jammu and Kashmir. These SNPs were selected based on their association with multiple cancers in literature. RESULTS This is the first study to explore these SNPs with colorectal cancer within the J&K population.7 SNPs with a call rate of 90% were selected for the study. Out of these, five SNPs rs2234593, rs1799966, rs2229080, rs8034191, rs1042522 were found to be significantly associated with the current study under the allelic model with an Odds Ratio OR = 2.981(1.731-5.136 at 95% CI); p value = 4.81E-05 for rs2234593,OR = 1.685(1.073-2.647 at 95% CI);; p value = 0.02292 for rs1799966, OR = 1.5 (1.1-2.3 at 95% CI), p value = 0.02 for rs2229080, OR = 1.699(1.035-2.791 at 95% CI); p value = 0.03521 for rs8034191, OR = 20.07 (11.26-35.75); p value = 1.84E-34 for rs1042522 respectively. CONCLUSION This is the first study to find the relation of Genetic variants with the colorectal cancer within the studied population using high throughput MassARRAY™ technology. It is further anticipated that the variants should be evaluated in other population groups that may aid in understanding the genetic complexity and bridge the missing heritability.
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Affiliation(s)
- Bhanu Sharma
- School of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India
| | | | - Amrita Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India
| | - Sonali Verma
- School of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India
| | - Divya Bakshi
- School of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India
| | - Ghulam Rasool Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India
| | - Rajeshwer Singh Jamwal
- School of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India
| | - Asif Amin
- Department of Biotechnology, University of Kashmir, Srinagar, 190006, India
| | - Raies Ahmed Qadri
- Department of Biotechnology, University of Kashmir, Srinagar, 190006, India
| | - Ruchi Shah
- Department of Biotechnology, University of Kashmir, Srinagar, 190006, India.
| | - Rakesh Kumar
- School of Biotechnology, Shri Mata Vaishno Devi University, Jammu and Kashmir 182320, Katra, India.
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Bakshi D, Nagpal A, Sharma V, Sharma I, Shah R, Sharma B, Bhat A, Verma S, Bhat GR, Abrol D, Sharma R, Vaishnavi S, Kumar R. MassARRAY-based single nucleotide polymorphism analysis in breast cancer of north Indian population. BMC Cancer 2020; 20:861. [PMID: 32894086 PMCID: PMC7487711 DOI: 10.1186/s12885-020-07361-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 08/31/2020] [Indexed: 12/26/2022] Open
Abstract
Background Breast Cancer (BC) is associated with inherited gene mutations. High throughput genotyping of BC samples has led to the identification and characterization of biomarkers for the diagnosis of BC. The most common genetic variants studied are SNPs (Single Nucleotide Polymorphisms) that determine susceptibility to an array of diseases thus serving as a potential tool for identifying the underlying causes of breast carcinogenesis. Methods SNP genotyping employing the Agena MassARRAY offers a robust, sensitive, cost-effective method to assess multiple SNPs and samples simultaneously. In this present study, we analyzed 15 SNPs of 14 genes in 550 samples (150 cases and 400 controls). We identified four SNPs of genes TCF21, SLC19A1, DCC, and ERCC1 showing significant association with BC in the population under study. Results The SNPs were rs12190287 (TCF21) having OR 1.713 (1.08–2.716 at 95% CI) p-value 0.022 (dominant), rs1051266 (SLC19A1) having OR 3.461 (2.136–5.609 at 95% CI) p-value 0.000000466 (dominant), rs2229080 (DCC) having OR 0.6867 (0.5123–0.9205 at 95% CI) p-value 0.0116 (allelic) and rs2298881 (ERCC1) having OR 0.669 (0.46–0.973 at 95% CI), p-value 0.035 (additive) respectively. The in-silico analysis was further used to fortify the above findings. Conclusion It is further anticipated that the variants should be evaluated in other population groups that may aid in understanding the genetic complexity and bridge the missing heritability.
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Affiliation(s)
- Divya Bakshi
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.
| | - Ashna Nagpal
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Varun Sharma
- Ancient DNA Laboratory, Birbal Sahni Institute of Palaeosciences, Lucknow, Uttar Pradesh, India
| | - Indu Sharma
- Ancient DNA Laboratory, Birbal Sahni Institute of Palaeosciences, Lucknow, Uttar Pradesh, India
| | - Ruchi Shah
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Bhanu Sharma
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Amrita Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Sonali Verma
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Gh Rasool Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Deepak Abrol
- Department of Radiotherapy, GMC, Kathua, J&K, India
| | - Rahul Sharma
- Department of Radiotherapy, GMC, Jammu, J&K, India
| | - Samantha Vaishnavi
- Department of Plant Sciences, Central University of Jammu, Jammu, J&K, India
| | - Rakesh Kumar
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.
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Demircan B, Yucel B, Radosevich JA. DNA Methylation in Human Breast Cancer Cell Lines Adapted to High Nitric Oxide. In Vivo 2020; 34:169-176. [PMID: 31882476 DOI: 10.21873/invivo.11758] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/13/2019] [Accepted: 10/10/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Nitric oxide (NO) exposure has been suggested to cause alterations in DNA methylation in breast cancer. We investigated the effect of NO on DNA methylation of promoters in cell lines of breast cancer. MATERIAL AND METHODS The methylation status of the promoters of breast cancer 1 (BRCA1), deleted in colon cancer (DCC), Ras-association domain family 1A (RASSF1A), O6-methylguanine-DNA methyltransferase (MGMT), and secreted frizzled related protein 1 (SFRP1) were analyzed in the parental and high nitric oxide-adapted cell lines of breast cancer using Illumina MiSequencing. RESULTS Methylation of RASSF1A promoter in BT-20-HNO (74.7%) was significantly higher than that in BT-20 cells (72%) (p<0.05), whereas in MCF-7-HNO cells, methylation of MGMT promoter was found to have significantly decreased as compared to its parental cell line (45.1% versus 50.1%; p<0.0001). Promoter methylation of SFRP and DCC was elevated in T-47D-HNO relative to its parent cell line (p<0.05). CONCLUSION Similarly to the double-edged effects of NO on tumorigenesis, its epigenetic effects through DNA methylation are diverse and contradictory in breast cancer.
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Affiliation(s)
- Berna Demircan
- Department of Medical Biology, Medical School, Istanbul Medeniyet University, Istanbul, Turkey
| | - Burcu Yucel
- Department of Medical Biology, Medical School, Istanbul Medeniyet University, Istanbul, Turkey
| | - James A Radosevich
- Oral Medicine and Diagnostic Sciences, College of Dentistry, University of Illinois, Chicago, IL, U.S.A
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Shah R, Sharma V, Bhat A, Singh H, Sharma I, Verma S, Bhat GR, Sharma B, Bakshi D, Kumar R, Dar NA. MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India. BMC Cancer 2020; 20:497. [PMID: 32487238 PMCID: PMC7268327 DOI: 10.1186/s12885-020-06991-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 05/21/2020] [Indexed: 02/06/2023] Open
Abstract
Background MassARRAY (Agena Bioscience™) combines competitive PCR with MALDI-TOF mass spectrometry (MS) analysis that gives highly accurate, sensitive, and high-throughput methods for the quantitative analysis of variation of gene expression in multiple samples. SNPs (Single Nucleotide Polymorphisms) have a very high potential of discovering disease-gene relationships. SNP-genotyping through MassARRAY is not only a cost-effective genotyping method but also provides a platform to validate variants observed through a high-throughput Next-generation sequencing (NGS). Methods In the present study, we have incorporated the use of matrix-assisted laser desorption/ionization-time of flight, mass spectrometry (MALDI-TOF) as a tool for differentiating genotypes based on the mass of variant. We have performed multiplex PCR and genotyped 12 SNPs in 758 samples (166 cases and 592 controls). The 12 studied SNPs were chosen with a rationale for their association with multiple cancers in literature. Results This is the first study to explore these SNPs with esophageal cancer within the J&K population. Out of 12 SNPs, two SNPs rs12190287 of TCF21 and rs10046 of CYP19A1 were significantly associated with esophageal cancer with Odds Ratio (OR) 1.412 (1.09–1.8 at 95% CI, p = 0.008) and 1.54 (1.21–2.072 at 95% CI, p = 0.0007) within the population of Jammu and Kashmir. Conclusion We explored 12 SNPs that were found to be associated with multiple cancers in literature with esophageal cancer within the population of J&K. This is the first study to find the relation of these SNPs with ESCC within the studied population. This study explores the relation of genetic and environmental factors with the ESCC susceptibility.
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Affiliation(s)
- Ruchi Shah
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India.
| | - Varun Sharma
- Human Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Amrita Bhat
- Cancer Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Hemender Singh
- Human Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Indu Sharma
- Human Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Sonali Verma
- Cancer Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Gh Rasool Bhat
- Cancer Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Bhanu Sharma
- Cancer Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Divya Bakshi
- Cancer Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Rakesh Kumar
- Cancer Genetics Research Group, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Nazir Ahmed Dar
- Department of Biochemistry, University of Kashmir, Srinagar, Jammu and Kashmir, 180001, India.
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Yang P, Wang M, Tian T, Feng Y, Zheng Y, Yang T, Li H, Lin S, Xu P, Deng Y, Hao Q, Li N, Guan F, Dai Z. CYP17 polymorphisms are associated with decreased risk of breast cancer in Chinese Han women: a case-control study. Cancer Manag Res 2018; 10:1791-1798. [PMID: 30013390 PMCID: PMC6037160 DOI: 10.2147/cmar.s167503] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Introduction CYP17 is the second most important enzyme in estradiol synthesis. Epidemiological studies have shown the associations between CYP17 polymorphisms and cancer risk. We conducted a case–control study to evaluate the relationship between CYP17 polymorphisms (rs743572 and rs2486758) and breast cancer (BC) risk. Patients and methods This case–control study included 560 BC patients and 583 age-matched healthy controls from Northwest China. Two polymorphisms (rs743572 and rs2486758) of CYP17 were genotyped by using Sequenom MassARRAY. ORs and 95% CIs were used to evaluate the relationship. Results Compared with the wild genotype of rs743572, we found a significantly reduced risk of BC associated with the variant genotypes (heterozygote model: OR=0.69, 95% CI=0.53–0.89; homozygote model: OR=0.68, 95% CI=0.49–0.95; dominant model: OR=0.69, 95% CI=0.54–0.87; overdominant model: OR=0.78, 95% CI=0.62–0.98; allele model: OR=0.79, 95% CI=0.66–0.93). For rs2486758 polymorphism, we did not find any difference in any of the genetic models. Further stratification analysis by clinical characteristics showed rs743572 was associated with estrogen receptor status (heterozygote model: OR=2.13, 95% CI=1.47–3.08; homozygote model: OR=3.29, 95% CI=1.94–5.58; dominant model: OR=2.39, 95% CI=1.69–3.37) and progesterone receptor status (homozygote model: OR=3.17, 95% CI=1.82–5.55), but there was no association between rs2486758 and clinical characteristics of BC. Haplotype analysis showed that Grs743572Crs2486758 haplotype was a protective factor of BC (OR=0.52, 95% CI=0.40–0.67). Survival analysis did not find that CYP17 rs743572 polymorphism was associated with triple-negative BC, either in terms of overall survival or progression-free survival. Conclusion Our results suggest that CYP17 polymorphisms may reduce the susceptibility to BC in Chinese women.
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Affiliation(s)
- Pengtao Yang
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Meng Wang
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Tian Tian
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Yanjing Feng
- Department of Cardiology, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, People's Republic of China
| | - Yi Zheng
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Tielin Yang
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Hongtao Li
- Department of Breast, Head and Neck Surgery, Affiliated Tumor Hospital of Xinjiang Medical University, Urumchi, 830000, People's Republic of China
| | - Shuai Lin
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Peng Xu
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Yujiao Deng
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Qian Hao
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Na Li
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
| | - Feng Guan
- College of Life Science and Technology, Northwest University, Xi'an 710069, People's Republic of China,
| | - Zhijun Dai
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, People's Republic of China,
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Lin S, Wang M, Liu X, Lu Y, Gong Z, Guo Y, Yang P, Tian T, Dai C, Zheng Y, Xu P, Li S, Zhu Y, Dai Z. FEN1 gene variants confer reduced risk of breast cancer in chinese women: A case-control study. Oncotarget 2018; 7:78110-78118. [PMID: 27801669 PMCID: PMC5363647 DOI: 10.18632/oncotarget.12948] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 10/14/2016] [Indexed: 12/31/2022] Open
Abstract
This study aimed to assess the associations of two common Flap endonuclease 1 (FEN1) polymorphisms (rs4246215 and rs174538) with breast cancer risk in northwest Chinese women. We conducted a case-control study with 560 breast cancer patients and 583 age-matched healthy controls from Northwest China. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to estimate the associations. We found a significantly reduced risk of breast cancer associated with T allele of rs4246215 (allele model: OR 0.81, 95% CI 0.68–0.96; homozygote model: OR = 0.59, 95% CI = 0.40–0.87; recessive model: OR = 0.61, 95% CI = 0.42–0.89), especially in postmenopausal women (OR = 0.58, 95% CI = 0.35–0.97). Furthermore, the polymorphism showed a decreased association with larger tumor size (heterozygote model: OR = 0.63, 95% CI = 0.44–0.92; dominant model: OR = 0.63, 95% CI = 0.44–0.90). For rs174538, we did not find any difference in all genetic models. However, rs174538 was associated with lymph node metastasis (heterozygote model: OR = 0.57, 95% CI = 0.39–0.81; dominant model: OR = 0.61, 95% CI = 0.43–0.86) and estrogen receptor status (heterozygote model: OR = 1.50, 95% CI = 1.05–2.15; dominant model: OR = 1.42, 95% CI = 1.01–1.98). Haplotype analysis showed that Trs4246215Grs174538 haplotype was a protective factor of breast cancer (OR = 0.34, 95% CI = 0.14–0.81). Our results suggest that FEN1 polymorphisms may reduce the risk of breast cancer in Chinese women.
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Affiliation(s)
- Shuai Lin
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Meng Wang
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Xinghan Liu
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Ye Lu
- Department of Student Affairs, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Zhuoqing Gong
- Department of Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China
| | - Yan Guo
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Pengtao Yang
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Tian Tian
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Cong Dai
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Yi Zheng
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Peng Xu
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Shanli Li
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Yuyao Zhu
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Zhijun Dai
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
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