Please use this identifier to cite or link to this item:
https://doi.org/10.1371/journal.pone.0134408
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dc.title | Predictive factors for BRCA1 and BRCA2 genetic testing in an asian clinic-based population | |
dc.contributor.author | Wong E.S.Y. | |
dc.contributor.author | Shekar S. | |
dc.contributor.author | Chan C.H.T. | |
dc.contributor.author | Hong L.Z. | |
dc.contributor.author | Poon S.-Y. | |
dc.contributor.author | Silla T. | |
dc.contributor.author | Lin C. | |
dc.contributor.author | Kumar V. | |
dc.contributor.author | Davila S. | |
dc.contributor.author | Voorhoeve M. | |
dc.contributor.author | Thike A.A. | |
dc.contributor.author | Ho G.H. | |
dc.contributor.author | Yap Y.S. | |
dc.contributor.author | Tan P.H. | |
dc.contributor.author | Tan M.-H. | |
dc.contributor.author | Ang P. | |
dc.contributor.author | Lee A.S.G. | |
dc.date.accessioned | 2020-03-19T02:59:57Z | |
dc.date.available | 2020-03-19T02:59:57Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Wong E.S.Y., Shekar S., Chan C.H.T., Hong L.Z., Poon S.-Y., Silla T., Lin C., Kumar V., Davila S., Voorhoeve M., Thike A.A., Ho G.H., Yap Y.S., Tan P.H., Tan M.-H., Ang P., Lee A.S.G. (2015). Predictive factors for BRCA1 and BRCA2 genetic testing in an asian clinic-based population. PLoS ONE 10 (7) : e0134408. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0134408 | |
dc.identifier.issn | 19326203 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/165687 | |
dc.description.abstract | Purpose The National Comprehensive Cancer Network (NCCN) has proposed guidelines for the genetic testing of the BRCA1 and BRCA2 genes, based on studies in western populations. This current study assessed potential predictive factors for BRCA mutation probability, in an Asian population. Methods A total of 359 breast cancer patients, who presented with either a family history (FH) of breast and/or ovarian cancer or early onset breast cancer, were accrued at the National Cancer Center Singapore (NCCS). The relationships between clinico-pathological features and mutational status were calculated using the Chi-squared test and binary logistic regression analysis. Results Of 359 patients, 45 (12.5%) had deleterious or damaging missense mutations in BRCA1 and/or BRCA2. BRCA1 mutations were more likely to be found in ER-negative than ERpositive breast cancer patients (P=0.01). Moreover, ER-negative patients with BRCA mutations were diagnosed at an earlier age (40 vs. 48 years, P=0.008). Similarly, triple-negative breast cancer (TNBC) patients were more likely to have BRCA1 mutations (P=0.001) and that these patients were diagnosed at a relatively younger age than non-TNBC patients (38 vs. 46 years, P=0.028). Our analysis has confirmed that ER-negative status, TNBC status and a FH of hereditary breast and ovarian cancer (HBOC) are strong factors predicting the likelihood of having BRCA mutations. Conclusions Our study provides evidence that TNBC or ER-negative patients may benefit from BRCA genetic testing, particularly younger patients (<40 years) or those with a strong FH of HBOC, in Asian patients. Copyright © 2015 Wong et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits nrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
dc.publisher | Public Library of Science | |
dc.source | Unpaywall 20200320 | |
dc.subject | BRCA1 protein | |
dc.subject | BRCA2 protein | |
dc.subject | epidermal growth factor receptor 2 | |
dc.subject | estrogen receptor | |
dc.subject | progesterone receptor | |
dc.subject | estrogen receptor | |
dc.subject | adult | |
dc.subject | aged | |
dc.subject | Article | |
dc.subject | Asian | |
dc.subject | cancer classification | |
dc.subject | early cancer | |
dc.subject | estrogen receptor positive breast cancer | |
dc.subject | family history | |
dc.subject | female | |
dc.subject | gene sequence | |
dc.subject | genetic association | |
dc.subject | genetic screening | |
dc.subject | human | |
dc.subject | major clinical study | |
dc.subject | missense mutation | |
dc.subject | next generation sequencing | |
dc.subject | oncogene | |
dc.subject | onset age | |
dc.subject | ovary cancer | |
dc.subject | predictive value | |
dc.subject | progesterone receptor positive breast cancer | |
dc.subject | Sanger sequencing | |
dc.subject | triple negative breast cancer | |
dc.subject | tumor suppressor gene | |
dc.subject | age | |
dc.subject | Asian continental ancestry group | |
dc.subject | Breast Neoplasms | |
dc.subject | chi square distribution | |
dc.subject | dna mutational analysis | |
dc.subject | genetic screening | |
dc.subject | genetics | |
dc.subject | metabolism | |
dc.subject | middle aged | |
dc.subject | procedures | |
dc.subject | risk factor | |
dc.subject | Singapore | |
dc.subject | statistical model | |
dc.subject | statistics and numerical data | |
dc.subject | Triple Negative Breast Neoplasms | |
dc.subject | young adult | |
dc.subject | Adult | |
dc.subject | Age Factors | |
dc.subject | Aged | |
dc.subject | Asian Continental Ancestry Group | |
dc.subject | Breast Neoplasms | |
dc.subject | Chi-Square Distribution | |
dc.subject | DNA Mutational Analysis | |
dc.subject | Female | |
dc.subject | Genes, BRCA1 | |
dc.subject | Genes, BRCA2 | |
dc.subject | Genetic Testing | |
dc.subject | Humans | |
dc.subject | Logistic Models | |
dc.subject | Middle Aged | |
dc.subject | Mutation, Missense | |
dc.subject | Predictive Value of Tests | |
dc.subject | Receptors, Estrogen | |
dc.subject | Risk Factors | |
dc.subject | Singapore | |
dc.subject | Triple Negative Breast Neoplasms | |
dc.subject | Young Adult | |
dc.type | Article | |
dc.contributor.department | MICROBIOLOGY AND IMMUNOLOGY | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1371/journal.pone.0134408 | |
dc.description.sourcetitle | PLoS ONE | |
dc.description.volume | 10 | |
dc.description.issue | 7 | |
dc.description.page | e0134408 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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