Multi-omics approaches identify
10.1016/j.apsb.2020.12.013
- Author:
Shouyue ZHANG
1
;
Jin ZHANG
1
;
Yang AN
2
;
Xiaoxi ZENG
3
;
Ziyi QIN
1
;
Yuqian ZHAO
1
;
Heng XU
4
;
Bo LIU
1
Author Information
1. State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 61004, China.
2. Department of Plastic Surgery, Peking University Third Hospital, Beijing 100191, China.
3. West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
4. Department of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
- Publication Type:Journal Article
- Keywords:
ATG, autophagy-related gene;
Anti-proliferation;
Autophagic regulator;
BRCA, invasive breast carcinoma;
CNA, copy number alteration;
Druggable target;
EXP, gene expression;
GO, Gene Ontology;
Invasive breast carcinoma;
LASSO, least absolute shrinkage and selection operator;
MET, DNA methylation;
Migration;
Multi-omics approach;
PFS, progression-free survival;
SF3B3;
SIRT3;
SNF, similarity network fusion;
TCGA, The Cancer Genome Atlas;
TNBC, triple-negative breast cancer
- From:
Acta Pharmaceutica Sinica B
2021;11(5):1227-1245
- CountryChina
- Language:English
-
Abstract:
Autophagy is a critical cellular homeostatic mechanism, and its dysfunction is linked to invasive breast carcinoma (BRCA). Recently, several omics methods have been applied to explore autophagic regulators in BRCA; however, more reliable and robust approaches for identifying crucial regulators and druggable targets remain to be discovered. Thus, we report here the results of multi-omics approaches to identify potential autophagic regulators in BRCA, including gene expression (EXP), DNA methylation (MET) and copy number alterations (CNAs) from The Cancer Genome Atlas (TCGA). Newly identified candidate genes, such as
