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Ghadamgahi, Seyed Reza, Hosseinzadeh, Leila, Ardalan Khales, Sahar, Nassiri, Mohammadreza, Alidoust, Maryam, Etemadrezaei, Shirin, Khorshid Shamshiri, Asma, Homaei Shandiz, Fatemeh, Pasdar, Alireza, Afzaljavan, Fahimeh. (1402). Potential Role of Zinc Finger 365 rs10822013 and rs10995190 in Mammographic Density, Sporadic Breast Cancer Risk, and Prognosis. سامانه مدیریت نشریات علمی, 48(6), 551-562. doi: 10.30476/ijms.2023.96141.2767
Seyed Reza Ghadamgahi; Leila Hosseinzadeh; Sahar Ardalan Khales; Mohammadreza Nassiri; Maryam Alidoust; Shirin Etemadrezaei; Asma Khorshid Shamshiri; Fatemeh Homaei Shandiz; Alireza Pasdar; Fahimeh Afzaljavan. "Potential Role of Zinc Finger 365 rs10822013 and rs10995190 in Mammographic Density, Sporadic Breast Cancer Risk, and Prognosis". سامانه مدیریت نشریات علمی, 48, 6, 1402, 551-562. doi: 10.30476/ijms.2023.96141.2767
Ghadamgahi, Seyed Reza, Hosseinzadeh, Leila, Ardalan Khales, Sahar, Nassiri, Mohammadreza, Alidoust, Maryam, Etemadrezaei, Shirin, Khorshid Shamshiri, Asma, Homaei Shandiz, Fatemeh, Pasdar, Alireza, Afzaljavan, Fahimeh. (1402). 'Potential Role of Zinc Finger 365 rs10822013 and rs10995190 in Mammographic Density, Sporadic Breast Cancer Risk, and Prognosis', سامانه مدیریت نشریات علمی, 48(6), pp. 551-562. doi: 10.30476/ijms.2023.96141.2767
Ghadamgahi, Seyed Reza, Hosseinzadeh, Leila, Ardalan Khales, Sahar, Nassiri, Mohammadreza, Alidoust, Maryam, Etemadrezaei, Shirin, Khorshid Shamshiri, Asma, Homaei Shandiz, Fatemeh, Pasdar, Alireza, Afzaljavan, Fahimeh. Potential Role of Zinc Finger 365 rs10822013 and rs10995190 in Mammographic Density, Sporadic Breast Cancer Risk, and Prognosis. سامانه مدیریت نشریات علمی, 1402; 48(6): 551-562. doi: 10.30476/ijms.2023.96141.2767

Potential Role of Zinc Finger 365 rs10822013 and rs10995190 in Mammographic Density, Sporadic Breast Cancer Risk, and Prognosis

Iranian Journal of Medical Sciences
مقاله 4، دوره 48، شماره 6، بهمن و اسفند 2023، صفحه 551-562    اصل مقاله (1.18 M)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/ijms.2023.96141.2767
نویسندگان
Seyed Reza Ghadamgahi1؛ Leila Hosseinzadeh2؛ Sahar Ardalan Khales3؛ Mohammadreza Nassiri4؛ Maryam Alidoust5؛ Shirin Etemadrezaei6؛ Asma Khorshid Shamshiri5؛ Fatemeh Homaei Shandiz7؛ Alireza Pasdar8؛ Fahimeh Afzaljavan* 9
1Department of Genetics, School of Sciences, Azad University of Damghan, Damghan, Iran
2Lung Cancer and Immuno- Oncology Laboratory (LCIO), Jules Bordet Institute, Université Libre de Bruxelles, Brussels, Belgium
3Congenital Malformations Research Center, Golestan University of Medical Sciences, Gorgan, Iran
4Recombinant Protein Research Group, Research Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
5Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Science, Mashhad, Iran
6Reza Radiotherapy and Oncology Center, Mashhad, Iran
7Cancer Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
8Division of Applied Medicine, School of Medicine, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
9Clinical Research Development Unit, Imam Reza Hospital, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
چکیده
Background: Despite suggesting many genetic risk markers as the outcome of Genome-wide association studies (GWAS) for breast cancer, replicating the results in different populations has remained the main issue. In this regard, this study assessed the association of two variations in Zinc Finger 365 (ZNF365) in an Iranian population. 
Methods: In a case-control study conducted at Mashhad University of Medical Sciences, Mashhad, Iran, between 2017 and 2020, ZNF365-rs10822013 and rs10995190 were genotyped using Allele-Specific PCR (AS-PCR). Breast density was assessed using mammography images. PHASE software module version 2 and SPSS version 16.0 were used for haplotype and statistical analyses. Quantitative and qualitative variables were compared between groups using independent t tests and Chi square tests, respectively. Binary logistic regression analysis was performed to calculate odds ratios. Multivariate analysis was then undertaken for the baseline variables, with a P<0.05 in the univariate analysis. The survival analysis was performed using the Kaplan-Meier method and the log-rank test.
Results: In this survey, 732 females, including 342 breast cancer patients and 390 healthy subjects, were enrolled. rs10822013-T allele (P=0.014), rs10995190-G allele (P=0.003), and TG haplotype (P=0.002) were significantly associated with the increased risk of breast cancer. Moreover, rs10995190-GG genotype (P=0.042) and C-G haplotype (P=0.019) revealed a significant association with better overall survival. However, considered polymorphisms and their haplotypes indicated no association with breast density and clinical features of breast cancer.
Conclusion: ZNF365 variants might be a potential risk marker of breast cancer in the Iranian population. The interaction between alleles in haplotypes may modulate the amount of the risk conferred by these variants. Further studies on different ethnic groups can validate these results.

تازه های تحقیق

Seyed Reza Ghadamgahi (Google Scholar)

Fahimeh Afzaljavan (Google Scholar)

کلیدواژه‌ها
Breast neoplasms؛ Mammographic density؛ Zinc Finger 365؛ Prognosis؛ Survival
سایر فایل های مرتبط با مقاله
مراجع
  1. Ghoncheh M, Pournamdar Z, Salehiniya H. Incidence and Mortality and Epidemiology of Breast Cancer in the World. Asian Pac J Cancer Prev. 2016;17:43-6. doi: 10.7314/apjcp.2016.17.s3.43. PubMed PMID: 27165206.
  2. Afzaljavan F, Chaeichi Tehrani N, Rivandi M, Zarif Ghasemian S, Vahednia E, Khayami R, et al. The Dilemma of TP53 Codon 72 Polymorphism (rs1042522) and Breast Cancer Risk: A Case-Control Study and Meta-Analysis in The Iranian Population. Cell J. 2020;22:185-92. doi: 10.22074/cellj.2020.6458. PubMed PMID: 31721533; PubMed Central PMCID: PMCPMC6874791.
  3. Bagherabad MB, Afzaljavan F, Vahednia E, Rivandi M, Vakili F, Sadr SSH, et al. Association of caspase 8 promoter variants and haplotypes with the risk of breast cancer and its molecular profile in an Iranian population: A case-control study. J Cell Biochem. 2019;120:16435-44. doi: 10.1002/jcb.28781. PubMed PMID: 31257627.
  4. Khorshid Shamshiri A, Afzaljavan F, Alidoust M, Taherian V, Vakili F, Moezzi A, et al. ESR1 gene variants, haplotypes and diplotypes may influence the risk of breast cancer and mammographic density. Mol Biol Rep. 2020;47:8367-75. doi: 10.1007/s11033-020-05823-7. PubMed PMID: 33099762.
  5. Guo F, Kuo YF, Shih YCT, Giordano SH, Berenson AB. Trends in breast cancer mortality by stage at diagnosis among young women in the United States. Cancer. 2018;124:3500-9. doi: 10.1002/cncr.31638. PubMed PMID: 30189117; PubMed Central PMCID: PMCPMC6191354.
  6. Lilyquist J, Ruddy KJ, Vachon CM, Couch FJ. Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future. Cancer Epidemiol Biomarkers Prev. 2018;27:380-94. doi: 10.1158/1055-9965.EPI-17-1144. PubMed PMID: 29382703; PubMed Central PMCID: PMCPMC5884707.
  7. Afzaljavan F, Moezzi A, Vahednia E, Khorshid Shamshiri A, Vakili F, Homaei Shandiz F, et al. Predictive and prognostic value of LSP1 rs3817198 in sporadic breast cancer in northeastern population of Iran. Exp Mol Pathol. 2020;116:104514. doi: 10.1016/j.yexmp.2020.104514. PubMed PMID: 32738313.
  8. Hein R, Flesch-Janys D, Dahmen N, Beckmann L, Lindstrom S, Schoof N, et al. A genome-wide association study to identify genetic susceptibility loci that modify ductal and lobular postmenopausal breast cancer risk associated with menopausal hormone therapy use: a two-stage design with replication. Breast Cancer Res Treat. 2013;138:529-42. doi: 10.1007/s10549-013-2443-z. PubMed PMID: 23423446; PubMed Central PMCID: PMCPMC3781176.
  9. Rafiq S, Khan S, Tapper W, Collins A, Upstill-Goddard R, Gerty S, et al. A genome wide meta-analysis study for identification of common variation associated with breast cancer prognosis. PLoS One. 2014;9:e101488. doi: 10.1371/journal.pone.0101488. PubMed PMID: 25526632; PubMed Central PMCID: PMCPMC4272267.
  10. Peng S, Lu B, Ruan W, Zhu Y, Sheng H, Lai M. Genetic polymorphisms and breast cancer risk: evidence from meta-analyses, pooled analyses, and genome-wide association studies. Breast Cancer Res Treat. 2011;127:309-24. doi: 10.1007/s10549-011-1459-5. PubMed PMID: 21445572.
  11. Cai Q, Long J, Lu W, Qu S, Wen W, Kang D, et al. Genome-wide association study identifies breast cancer risk variant at 10q21.2: results from the Asia Breast Cancer Consortium. Hum Mol Genet. 2011;20:4991-9. doi: 10.1093/hmg/ddr405. PubMed PMID: 21908515; PubMed Central PMCID: PMCPMC3221542.
  12. Lindstrom S, Thompson DJ, Paterson AD, Li J, Gierach GL, Scott C, et al. Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk. Nat Commun. 2014;5:5303. doi: 10.1038/ncomms6303. PubMed PMID: 25342443; PubMed Central PMCID: PMCPMC4320806.
  13. Zhang Y, Shin SJ, Liu D, Ivanova E, Foerster F, Ying H, et al. ZNF365 promotes stability of fragile sites and telomeres. Cancer Discov. 2013;3:798-811. doi: 10.1158/2159-8290.CD-12-0536. PubMed PMID: 23776040; PubMed Central PMCID: PMCPMC3710545.
  14. Paszynska E, Dmitrzak-Weglarz M, Perczak A, Gawriolek M, Hanc T, Bryl E, et al. Excessive Weight Gain and Dental Caries Experience among Children Affected by ADHD. Int J Environ Res Public Health. 2020;17. doi: 10.3390/ijerph17165870. PubMed PMID: 32823570; PubMed Central PMCID: PMCPMC7460135.
  15. Michailidou K, Hall P, Gonzalez-Neira A, Ghoussaini M, Dennis J, Milne RL, et al. Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet. 2013;45:353-61. doi: 10.1038/ng.2563. PubMed PMID: 23535729; PubMed Central PMCID: PMCPMC3771688.
  16. Zheng W, Zhang B, Cai Q, Sung H, Michailidou K, Shi J, et al. Common genetic determinants of breast-cancer risk in East Asian women: a collaborative study of 23 637 breast cancer cases and 25 579 controls. Hum Mol Genet. 2013;22:2539-50. doi: 10.1093/hmg/ddt089. PubMed PMID: 23535825; PubMed Central PMCID: PMCPMC3658167.
  17. Antoniou AC, Kuchenbaecker KB, Soucy P, Beesley J, Chen X, McGuffog L, et al. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. Breast Cancer Res. 2012;14:R33. doi: 10.1186/bcr3121. PubMed PMID: 22348646; PubMed Central PMCID: PMCPMC3496151.
  18. Lindstrom S, Vachon CM, Li J, Varghese J, Thompson D, Warren R, et al. Common variants in ZNF365 are associated with both mammographic density and breast cancer risk. Nat Genet. 2011;43:185-7. doi: 10.1038/ng.760. PubMed PMID: 21278746; PubMed Central PMCID: PMCPMC3076615.
  19. Baeza-Centurion P, Minana B, Valcarcel J, Lehner B. Mutations primarily alter the inclusion of alternatively spliced exons. Elife. 2020;9. doi: 10.7554/eLife.59959. PubMed PMID: 33112234; PubMed Central PMCID: PMCPMC7673789.
  20. Wangkumhang P, Chaichoompu K, Ngamphiw C, Ruangrit U, Chanprasert J, Assawamakin A, et al. WASP: a Web-based Allele-Specific PCR assay designing tool for detecting SNPs and mutations. BMC Genomics. 2007;8:275. doi: 10.1186/1471-2164-8-275. PubMed PMID: 17697334; PubMed Central PMCID: PMCPMC1976135.
  21. Lakhani SR, Ellis IO, Schnitt S, Tan PH, van de Vijver M. WHO Classification of Tumours of the Breast. 4th ed. Lyon: IARC Press; 2012.
  22. Wolff AC, Hammond ME, Hicks DG, Dowsett M, McShane LM, Allison KH, et al. Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol. 2013;31:3997-4013. doi: 10.1200/JCO.2013.50.9984. PubMed PMID: 24101045.
  23. Spak DA, Plaxco JS, Santiago L, Dryden MJ, Dogan BE. BI-RADS((R)) fifth edition: A summary of changes. Diagn Interv Imaging. 2017;98:179-90. doi: 10.1016/j.diii.2017.01.001. PubMed PMID: 28131457.
  24. Suguna S, Nandal D, Kamble S, Bharatha A, Kunkulol R. Genomic DNA isolation from human whole blood samples by non enzymatic salting out method. Int J pharm pharm sci. 2014;6:198-9.
  25. Stephens M, Smith NJ, Donnelly P. A new statistical method for haplotype reconstruction from population data. Am J Hum Genet. 2001;68:978-89. doi: 10.1086/319501. PubMed PMID: 11254454; PubMed Central PMCID: PMCPMC1275651.
  26. Stephens M, Donnelly P. A comparison of bayesian methods for haplotype reconstruction from population genotype data. Am J Hum Genet. 2003;73:1162-9. doi: 10.1086/379378. PubMed PMID: 14574645; PubMed Central PMCID: PMCPMC1180495.
  27. Zhao JH. 2LD, GENECOUNTING and HAP: Computer programs for linkage disequilibrium analysis. Bioinformatics. 2004;20:1325-6. doi: 10.1093/bioinformatics/bth071. PubMed PMID: 14871868.
  28. Pinar-Erdem A, Kuru S, Urkmez ES, Sepet E, Gunes H, Yildiz N, et al. Oral health status and its relation with medication and dental fear in children with attention-deficit hyperactivity disorder. Niger J Clin Pract. 2018;21:1132-8. doi: 10.4103/njcp.njcp_409_17. PubMed PMID: 30156197.
  29. Lee CP, Irwanto A, Salim A, Yuan JM, Liu J, Koh WP, et al. Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population. Breast Cancer Res. 2014;16:R64. doi: 10.1186/bcr3678. PubMed PMID: 24941967; PubMed Central PMCID: PMCPMC4095592.
  30. Li X, Zou W, Liu M, Cao W, Jiang Y, An G, et al. Association of multiple genetic variants with breast cancer susceptibility in the Han Chinese population. Oncotarget. 2016;7:85483-91. doi: 10.18632/oncotarget.13402. PubMed PMID: 27863437; PubMed Central PMCID: PMCPMC5356751.
  31. Xia P, Li B, Geng T, Deng Z, Dang C, Chang D, et al. FGFR2 gene polymorphisms are associated with breast cancer risk in the Han Chinese population. Am J Cancer Res. 2015;5:1854-61. PubMed PMID: 26175953; PubMed Central PMCID: PMCPMC4497451.
  32. Rajeevan H. The ALlele FREquency Database, Allele Frequency For Polymorphic Site: rs10995190. c2019. Available from: https://alfred.med.yale.edu/alfred/SiteTable1A_working.asp?siteuid=SI078811Z
  33. Lambrechts D, Truong T, Justenhoven C, Humphreys MK, Wang J, Hopper JL, et al. 11q13 is a susceptibility locus for hormone receptor positive breast cancer. Hum Mutat. 2012;33:1123-32. doi: 10.1002/humu.22089. PubMed PMID: 22461340; PubMed Central PMCID: PMCPMC3370081.
  34. Cheddad A, Czene K, Eriksson M, Li J, Easton D, Hall P, et al. Area and volumetric density estimation in processed full-field digital mammograms for risk assessment of breast cancer. PLoS One. 2014;9:e110690. doi: 10.1371/journal.pone.0110690. PubMed PMID: 25329322; PubMed Central PMCID: PMCPMC4203856.
  35. Rudolph A, Fasching PA, Behrens S, Eilber U, Bolla MK, Wang Q, et al. A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density. Breast Cancer Res. 2015;17:110. doi: 10.1186/s13058-015-0625-9. PubMed PMID: 26275715; PubMed Central PMCID: PMCPMC4537547.
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