Combating subclonal evolution of resistant cancer phenotypes

表型 癌症 乳腺癌 生物 抗药性 癌症研究 化疗 肿瘤异质性 遗传学 基因
作者
Samuel W. Brady,Jasmine A. McQuerry,義行 高橋,Stephen Piccolo,Gajendra Shrestha,David F. Jenkins,Ryan M. Layer,Brent S. Pedersen,R.H. Miller,Amanda Esch,Sara R. Selitsky,Joel S. Parker,Layla A. Anderson,Brian K. Dalley,Rachel E. Factor,Chakravarthy B. Reddy,Jonathan Boltax,Dean Y. Li,Philip J. Moos,Joe W. Gray,Laura M. Heiser,Saundra S. Buys,Adam L. Cohen,W. Evan Johnson,Aaron R. Quinlan,Gábor Marth,Theresa L. Werner,Andrea H. Bild
出处
期刊:Nature Communications [Springer Nature]
卷期号:8 (1) 被引量:151
标识
DOI:10.1038/s41467-017-01174-3
摘要

Metastatic breast cancer remains challenging to treat, and most patients ultimately progress on therapy. This acquired drug resistance is largely due to drug-refractory sub-populations (subclones) within heterogeneous tumors. Here, we track the genetic and phenotypic subclonal evolution of four breast cancers through years of treatment to better understand how breast cancers become drug-resistant. Recurrently appearing post-chemotherapy mutations are rare. However, bulk and single-cell RNA sequencing reveal acquisition of malignant phenotypes after treatment, including enhanced mesenchymal and growth factor signaling, which may promote drug resistance, and decreased antigen presentation and TNF-α signaling, which may enable immune system avoidance. Some of these phenotypes pre-exist in pre-treatment subclones that become dominant after chemotherapy, indicating selection for resistance phenotypes. Post-chemotherapy cancer cells are effectively treated with drugs targeting acquired phenotypes. These findings highlight cancer's ability to evolve phenotypically and suggest a phenotype-targeted treatment strategy that adapts to cancer as it evolves.

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