Hereditary breast cancer in the Han Chinese population
- PMID: 23318652
- PMCID: PMC3700245
- DOI: 10.2188/jea.je20120043
Hereditary breast cancer in the Han Chinese population
Abstract
Breast cancer is the most common malignancy among women and has a strong genetic background. So far, 13 breast cancer susceptibility genes of high or moderate penetrance have been identified. This review summarizes findings on these genes in Han Chinese. BRCA1 and BRCA2 are the 2 most important susceptibility genes. They have a relatively low mutation rate, and the most frequent sites of mutation are in exon 11. Frameshift mutations are the main type of mutation. Founder mutations may also exist, and BRCA-associated breast cancer has specific clinicopathologic characteristics. TP53 and PALB2 are relatively rare susceptibility genes. The relationship between the other 9 genes and breast cancer has not been fully elucidated. At present, the mutation spectrum for these susceptibility genes is not well understood in the Chinese population, and there are few reports on prognosis and clinical intervention in high-risk populations. Therefore, the true value of genetic counseling for breast cancer has yet to be realized. This article reviews studies of hereditary breast cancer in the Han Chinese population, highlights potential inadequacies, and provides a foundation for genetic counseling for breast cancer in China.
Similar articles
-
Identification of a comprehensive spectrum of genetic factors for hereditary breast cancer in a Chinese population by next-generation sequencing.PLoS One. 2015 Apr 30;10(4):e0125571. doi: 10.1371/journal.pone.0125571. eCollection 2015. PLoS One. 2015. PMID: 25927356 Free PMC article.
-
Identification of BRCA1/2 founder mutations in Southern Chinese breast cancer patients using gene sequencing and high resolution DNA melting analysis.PLoS One. 2012;7(9):e43994. doi: 10.1371/journal.pone.0043994. Epub 2012 Sep 7. PLoS One. 2012. PMID: 22970155 Free PMC article.
-
Screening for BRCA1, BRCA2, CHEK2, PALB2, BRIP1, RAD50, and CDH1 mutations in high-risk Finnish BRCA1/2-founder mutation-negative breast and/or ovarian cancer individuals.Breast Cancer Res. 2011 Feb 28;13(1):R20. doi: 10.1186/bcr2832. Breast Cancer Res. 2011. PMID: 21356067 Free PMC article.
-
Mutations in BRCA1, BRCA2 and other breast and ovarian cancer susceptibility genes in Central and South American populations.Biol Res. 2017 Oct 6;50(1):35. doi: 10.1186/s40659-017-0139-2. Biol Res. 2017. PMID: 28985766 Free PMC article. Review.
-
Hereditary breast cancer; Genetic penetrance and current status with BRCA.J Cell Physiol. 2019 May;234(5):5741-5750. doi: 10.1002/jcp.27464. Epub 2018 Dec 14. J Cell Physiol. 2019. PMID: 30552672 Review.
Cited by
-
Development and Validation of a New Multiparametric Random Survival Forest Predictive Model for Breast Cancer Recurrence with a Potential Benefit to Individual Outcomes.Cancer Manag Res. 2022 Mar 1;14:909-923. doi: 10.2147/CMAR.S346871. eCollection 2022. Cancer Manag Res. 2022. PMID: 35256862 Free PMC article.
-
Distribution of BRCA1 and BRCA2 Mutations in Asian Patients with Breast Cancer.J Breast Cancer. 2013 Dec;16(4):357-65. doi: 10.4048/jbc.2013.16.4.357. Epub 2013 Dec 31. J Breast Cancer. 2013. PMID: 24454456 Free PMC article. Review.
-
Comparison of endocrine therapy and chemotherapy as different systemic treatment modes for metastatic luminal HER2-negative breast cancer patients -A retrospective study.Front Oncol. 2022 Jul 26;12:873570. doi: 10.3389/fonc.2022.873570. eCollection 2022. Front Oncol. 2022. PMID: 35957911 Free PMC article.
-
Risk prediction for breast Cancer in Han Chinese women based on a cause-specific Hazard model.BMC Cancer. 2019 Feb 7;19(1):128. doi: 10.1186/s12885-019-5321-1. BMC Cancer. 2019. PMID: 30732565 Free PMC article.
-
Clinicopathologic Factors Related to the Histological Tumor Grade of Breast Cancer in Western China: An Epidemiological Multicenter Study of 8619 Female Patients.Transl Oncol. 2018 Aug;11(4):1023-1033. doi: 10.1016/j.tranon.2018.06.005. Epub 2018 Jul 3. Transl Oncol. 2018. PMID: 29982100 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials
Miscellaneous