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CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population
BACKGROUND: Cell surface biomarker CD44 plays an important role in breast cancer cell growth, differentiation, invasion, angiogenesis and tumour metastasis. Therefore, we aimed to investigate the role of CD44 gene polymorphisms in breast cancer risk and prognosis in North Indian population. MATERIAL...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733640/ https://www.ncbi.nlm.nih.gov/pubmed/23940692 http://dx.doi.org/10.1371/journal.pone.0071073 |
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author | Tulsyan, Sonam Agarwal, Gaurav Lal, Punita Agrawal, Sushma Mittal, Rama Devi Mittal, Balraj |
author_facet | Tulsyan, Sonam Agarwal, Gaurav Lal, Punita Agrawal, Sushma Mittal, Rama Devi Mittal, Balraj |
author_sort | Tulsyan, Sonam |
collection | PubMed |
description | BACKGROUND: Cell surface biomarker CD44 plays an important role in breast cancer cell growth, differentiation, invasion, angiogenesis and tumour metastasis. Therefore, we aimed to investigate the role of CD44 gene polymorphisms in breast cancer risk and prognosis in North Indian population. MATERIALS & METHODS: A total of 258 breast cancer patients and 241 healthy controls were included in the case-control study for risk prediction. According to RECIST, 114 patients who received neo-adjuvant chemotherapy were recruited for the evaluation of breast cancer prognosis. We examined the association of tagging SNP (rs353639) of Hapmap Gujrati Indians in Houston (GIH population) in CD44 gene along with a significant reported SNP (rs13347) in Chinese population by genotyping using Taqman allelic discrimination assays. Statistical analysis was done using SPSS software, version 17. In-silico analysis for prediction of functional effects was done using F-SNP and FAST-SNP. RESULTS: No significant association of both the genetic variants of the CD44 gene polymorphisms was found with breast cancer risk. On performing univariate analysis with clinicopathological characteristics and treatment response, we found significant association of genotype (CT+TT) of rs13347 polymorphism with earlier age of onset (P = 0.029, OR = 0.037). However, significance was lost in multivariate analysis. For rs353639 polymorphism, significant association was seen with clinical tumour size, both at the genotypic (AC+CC) (P = 0.039, OR = 3.02) as well as the allelic (C) (P = 0.042, OR = 2.87) levels. On performing multivariate analysis, increased significance of variant genotype (P = 0.017, OR = 4.29) and allele (P = 0.025, OR = 3.34) of rs353639 was found with clinical tumour size. In-silico analysis using F-SNP, showed altered transcriptional regulation for rs353639 polymorphism. CONCLUSIONS: These findings suggest that CD44 rs353639 genetic variants may have significant effect in breast cancer prognosis. However, both the polymorphisms- rs13347 and rs353639 had no effect on breast cancer susceptibility. |
format | Online Article Text |
id | pubmed-3733640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37336402013-08-12 CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population Tulsyan, Sonam Agarwal, Gaurav Lal, Punita Agrawal, Sushma Mittal, Rama Devi Mittal, Balraj PLoS One Research Article BACKGROUND: Cell surface biomarker CD44 plays an important role in breast cancer cell growth, differentiation, invasion, angiogenesis and tumour metastasis. Therefore, we aimed to investigate the role of CD44 gene polymorphisms in breast cancer risk and prognosis in North Indian population. MATERIALS & METHODS: A total of 258 breast cancer patients and 241 healthy controls were included in the case-control study for risk prediction. According to RECIST, 114 patients who received neo-adjuvant chemotherapy were recruited for the evaluation of breast cancer prognosis. We examined the association of tagging SNP (rs353639) of Hapmap Gujrati Indians in Houston (GIH population) in CD44 gene along with a significant reported SNP (rs13347) in Chinese population by genotyping using Taqman allelic discrimination assays. Statistical analysis was done using SPSS software, version 17. In-silico analysis for prediction of functional effects was done using F-SNP and FAST-SNP. RESULTS: No significant association of both the genetic variants of the CD44 gene polymorphisms was found with breast cancer risk. On performing univariate analysis with clinicopathological characteristics and treatment response, we found significant association of genotype (CT+TT) of rs13347 polymorphism with earlier age of onset (P = 0.029, OR = 0.037). However, significance was lost in multivariate analysis. For rs353639 polymorphism, significant association was seen with clinical tumour size, both at the genotypic (AC+CC) (P = 0.039, OR = 3.02) as well as the allelic (C) (P = 0.042, OR = 2.87) levels. On performing multivariate analysis, increased significance of variant genotype (P = 0.017, OR = 4.29) and allele (P = 0.025, OR = 3.34) of rs353639 was found with clinical tumour size. In-silico analysis using F-SNP, showed altered transcriptional regulation for rs353639 polymorphism. CONCLUSIONS: These findings suggest that CD44 rs353639 genetic variants may have significant effect in breast cancer prognosis. However, both the polymorphisms- rs13347 and rs353639 had no effect on breast cancer susceptibility. Public Library of Science 2013-08-05 /pmc/articles/PMC3733640/ /pubmed/23940692 http://dx.doi.org/10.1371/journal.pone.0071073 Text en © 2013 Tulsyan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Tulsyan, Sonam Agarwal, Gaurav Lal, Punita Agrawal, Sushma Mittal, Rama Devi Mittal, Balraj CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population |
title |
CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population |
title_full |
CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population |
title_fullStr |
CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population |
title_full_unstemmed |
CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population |
title_short |
CD44 Gene Polymorphisms in Breast Cancer Risk and Prognosis: A Study in North Indian Population |
title_sort | cd44 gene polymorphisms in breast cancer risk and prognosis: a study in north indian population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733640/ https://www.ncbi.nlm.nih.gov/pubmed/23940692 http://dx.doi.org/10.1371/journal.pone.0071073 |
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