Characterization of potential driver mutations involved in human breast cancer by computational approaches

被引：49

作者：

Rajendran, Barani Kumar ^{[1
]}

Deng, Chu-Xia ^{[1
]}

机构：

[1] Univ Macau, Fac Hlth Sci, Canc Res Ctr, Taipa, Macao, Peoples R China

来源：

ONCOTARGET | 2017年 / 8卷 / 30期

关键词：

driver mutations; breast cancer; cancer drivers; breast cancer driver genes; genetic mutations; COPY NUMBER VARIATIONS; TUMOR-SUPPRESSOR GENE; SOMATIC MUTATIONS; MISSENSE MUTATIONS; DNA METHYLATION; GIANT OBSCURINS; GASTRIC-CANCER; LI-FRAUMENI; P53; PATHWAY; BRCA2; GENES;

D O I：

10.18632/oncotarget.17225

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Breast cancer is the second most frequently occurring form of cancer and is also the second most lethal cancer in women worldwide. A genetic mutation is one of the key factors that alter multiple cellular regulatory pathways and drive breast cancer initiation and progression yet nature of these cancer drivers remains elusive. In this article, we have reviewed various computational perspectives and algorithms for exploring breast cancer driver mutation genes. Using both frequency based and mutational exclusivity based approaches, we identified 195 driver genes and shortlisted 63 of them as candidate drivers for breast cancer using various computational approaches. Finally, we conducted network and pathway analysis to explore their functions in breast tumorigenesis including tumor initiation, progression, and metastasis.

引用

页码：50252 / 50272

页数：21

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