Application of RNAi-induced gene expression profiles for prognostic prediction in breast cancer

被引：2

作者：

Wang, Yue ^{[1
,2
]}

Mark, Kenneth M. K. ^{[2
]}

Ung, Matthew H. ^{[2
]}

Kettenbach, Arminja ^{[3
,4
]}

Miller, Todd ^{[2
,3
]}

Xu, Wei ^{[1
]}

Cheng, Wenqing ^{[1
]}

Xia, Tian ^{[1
]}

Cheng, Chao ^{[2
,3
,5
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Hubei, Peoples R China

[2] Geisel Sch Med Dartmouth, Dept Mol & Syst Biol, Hanover, NH 03755 USA

[3] Geisel Sch Med Dartmouth, Norris Cotton Canc Ctr, Lebanon, NH 03766 USA

[4] Geisel Sch Med Dartmouth, Dept Biochem, Hanover, NH 03755 USA

[5] Geisel Sch Med Dartmouth, Dept Biomed Data Sci, Lebanon, NH 03766 USA

来源：

GENOME MEDICINE | 2016年 / 8卷

关键词：

Homologous recombination pathway; Gene knockdown profiles; Cell proliferation; Cancer prognosis; Neoadjuvant chemotherapy; Genomic instability; DNA-DAMAGE; HOMOLOGOUS RECOMBINATION; BRCA1; PROMOTER; OVARIAN-CANCER; CELL-CYCLE; REPAIR; MUTATIONS; BRCANESS; RAD51; CLASSIFICATION;

D O I：

10.1186/s13073-016-0363-3

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Homologous recombination (HR) is the primary pathway for repairing double-strand DNA breaks implicating in the development of cancer. RNAi-based knockdowns of BRCA1 and RAD51 in this pathway have been performed to investigate the resulting transcriptomic profiles. Here we propose a computational framework to utilize these profiles to calculate a score, named RNA-Interference derived Proliferation Score (RIPS), which reflects cell proliferation ability in individual breast tumors. RIPS is predictive of breast cancer classes, prognosis, genome instability, and neoadjuvant chemosensitivity. This framework directly translates the readout of knockdown experiments into potential clinical applications and generates a robust biomarker in breast cancer.

引用

页数：15

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