Applications of RNA Indexes for Precision Oncology in Breast Cancer

被引：17

作者：

Ma, Liming ^{[1
]}

Liang, Zirui ^{[1
]}

Zhou, Hui ^{[1
]}

Qu, Lianghu ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Sch Life Sci, Key Lab Gene Engn, State Key Lab Biocontrol,Minist Educ, Guangzhou 510275, Guangdong, Peoples R China

来源：

GENOMICS PROTEOMICS & BIOINFORMATICS | 2018年 / 16卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Precision oncology; Transcriptomics; RNA interference; microRNA; Breast cancer; GENOME-WIDE ASSOCIATION; MOLECULAR SUBTYPES; LARGE-SCALE; TRANSCRIPTOME ANALYSIS; MICRORNA EXPRESSION; SUSCEPTIBILITY LOCI; TARGETED THERAPIES; THERAPEUTIC TARGET; CELL-PROLIFERATION; PROFILING REVEALS;

D O I：

10.1016/j.gpb.2018.03.002

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Precision oncology aims to offer the most appropriate treatments to cancer patients mainly based on their individual genetic information. Genomics has provided numerous valuable data on driver mutations and risk loci; however, it remains a formidable challenge to transform these data into therapeutic agents. Transcriptomics describes the multifarious expression patterns of both mRNAs and non-coding RNAs (ncRNAs), which facilitates the deciphering of genomic codes. In this review, we take breast cancer as an example to demonstrate the applications of these rich RNA resources in precision medicine exploration. These include the use of mRNA profiles in triple-negative breast cancer (TNBC) subtyping to inform corresponding candidate targeted therapies; current advancements and achievements of high-throughput RNA interference (RNAi) screening technologies in breast cancer; and microRNAs as functional signatures for defining cell identities and regulating the biological activities of breast cancer cells. We summarize the benefits of transcriptomic analyses in breast cancer management and propose that unscrambling the core signaling networks of cancer may be an important task of multiple-omic data integration for precision oncology.

引用

页码：108 / 119

页数：12

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