4.8 Article

Landscape of G-quadruplex DNA structural regions in breast cancer

Journal

NATURE GENETICS
Volume 52, Issue 9, Pages 878-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41588-020-0672-8

Keywords

-

Funding

  1. University of Cambridge
  2. Cancer Research UK [C14303/A17197, C9681/A18618, C9681/A29214]
  3. Wellcome Trust Investigator Award [209441/z/17/z]
  4. Balasubramanian group
  5. Center for Molecular Medicine Cologne
  6. Cancer Research UK program
  7. MRC [MC_UU_00002/16] Funding Source: UKRI
  8. Wellcome Trust [209441/Z/17/Z] Funding Source: Wellcome Trust

Ask authors/readers for more resources

Response and resistance to anticancer therapies vary due to intertumor and intratumor heterogeneity(1). Here, we map differentially enriched G-quadruplex (G4) DNA structure-forming regions ( increment G4Rs) in 22 breast cancer patient-derived tumor xenograft (PDTX) models. increment G4Rs are associated with the promoters of highly amplified genes showing high expression, and with somatic single-nucleotide variants. Differences in Delta G4R landscapes reveal seven transcription factor programs across PDTXs. increment G4R abundance and locations stratify PDTXs into at least three G4-based subtypes. increment 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 increment 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available