Landscape of G-quadruplex DNA structural regions in breast cancer

生物 乳腺癌 G-四倍体 DNA 进化生物学 癌症 计算生物学 遗传学
作者
Robert Hänsel‐Hertsch,Angela Simeone,Abigail Shea,Winnie W. I. Hui,Katherine G. Zyner,Giovanni Marsico,Oscar M. Rueda,Alejandra Bruna,Alistair Martin,Xiaoyun Zhang,Santosh Adhikari,David Tannahill,Carlos Caldas,Shankar Balasubramanian
出处
期刊:Nature Genetics [Nature Portfolio]
卷期号:52 (9): 878-883 被引量:210
标识
DOI:10.1038/s41588-020-0672-8
摘要

Response and resistance to anticancer therapies vary due to intertumor and intratumor heterogeneity1. Here, we map differentially enriched G-quadruplex (G4) DNA structure-forming regions (∆G4Rs) in 22 breast cancer patient-derived tumor xenograft (PDTX) models. ∆G4Rs are associated with the promoters of highly amplified genes showing high expression, and with somatic single-nucleotide variants. Differences in ΔG4R landscapes reveal seven transcription factor programs across PDTXs. ∆G4R abundance and locations stratify PDTXs into at least three G4-based subtypes. ∆G4Rs in most PDTXs (14 of 22) were found to associate with more than one breast cancer subtype, which we also call an integrative cluster (IC)2. This suggests the frequent coexistence of multiple breast cancer states within a PDTX model, the majority of which display aggressive triple-negative IC10 gene activity. Short-term cultures of PDTX models with increased ∆G4R levels are more sensitive to small molecules targeting G4 DNA. Thus, G4 landscapes reveal additional IC-related intratumor heterogeneity in PDTX biopsies, improving breast cancer stratification and potentially identifying new treatment strategies. Quantitative ChIP–seq analysis maps G-quadruplex (G4) DNA structures in breast cancer patient-derived tumor xenograft (PDTX) models. G4-based subtypes highlight additional tumor heterogeneity in the integrative cluster (IC) system.
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