Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers
仿形(计算机编程)
乳腺癌
癌症研究
医学
肿瘤科
计算生物学
生物信息学
生物
作者
Chengheng Liao,Cherise Ryan Glodowski,Cheng Fan,Juan Liu,Kevin R. Mott,Akash Kaushik,Hieu Vu,Jason W. Locasale,Samuel K McBrayer,Ralph J. DeBerardinis,Charles M. Perou,Yang Zhang
出处
期刊:Cancer Research [American Association for Cancer Research] 日期:2021-12-15卷期号:: canres.CAN-E.2021
标识
DOI:10.1158/0008-5472.can-21-2745
摘要
A multiomics strategy that integrates metabolic and gene expression profiling in patient tumor samples and animal models identifies effective pharmacological approaches to target rapidly proliferating breast tumor subtypes.