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Updated: Jun 7, 2025

Quantifying Replication Stress in Ovarian Cancer Cells Using Single-Stranded DNA Immunofluorescence
Published on: February 10, 2023
Transcription and DNA replication collisions lead to large tandem duplications and expose targetable therapeutic
Yang Yang1, Michelle L Badura2,3, Patrick C O'Leary2
1Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA.
Abstract:
Despite the abundance of somatic structural variations (SVs) in cancer, the underlying molecular mechanisms of their formation remain unclear. In the present study, we used 6,193 whole-genome sequenced tumors to study the contributions of transcription and DNA replication collisions to genome instability. After deconvoluting robust SV signatures in three independent pan-cancer cohorts, we detected transcription-dependent, replicated-strand bias, the expected footprint of transcription-replication collision (TRC), in large tandem duplications (TDs). Large TDs are abundant in female-enriched, upper gastrointestinal tract and prostate cancers. They are associated with poor patient survival and mutations in TP53, CDK12 and SPOP. Upon inactivating CDK12, cells display significantly more TRCs, R-loops and large TDs. Inhibition of WEE1, CHK1 and ATR selectively inhibits the growth of cells deficient in CDK12. Our data suggest that large TDs in cancer form as a result of TRCs and their presence can be used as a biomarker for prognosis and treatment.
Insights
Large tandem duplications in cancer are linked to transcription-replication collisions (TRCs). These genomic events, identified in over 6,000 tumors, can serve as biomarkers for patient prognosis and treatment strategies.
Area of Science:
- Genomics
- Cancer Biology
- Molecular Mechanisms
Background:
- Somatic structural variations (SVs) are abundant in cancer, but their formation mechanisms are not fully understood.
- Genome instability is a hallmark of cancer, driven by various molecular processes.
Purpose of the Study:
- To investigate the role of transcription and DNA replication collisions in the formation of SVs, specifically large tandem duplications (TDs).
- To identify potential biomarkers for cancer prognosis and treatment based on SV signatures.
Main Methods:
- Analysis of whole-genome sequencing data from 6,193 tumors across three independent pan-cancer cohorts.
- Deconvolution of SV signatures to identify patterns associated with transcription-replication collisions (TRCs).
- Functional studies involving CDK12 inactivation and inhibition of key cell cycle regulators (WEE1, CHK1, ATR).
Main Results:
- A transcription-dependent, replicated-strand bias, indicative of TRCs, was detected in large TDs.
- Large TDs are prevalent in specific cancers (female-enriched, upper GI, prostate) and correlate with poor survival and mutations in TP53, CDK12, and SPOP.
- CDK12 inactivation led to increased TRCs, R-loops, and large TDs, while WEE1, CHK1, and ATR inhibition selectively impacted CDK12-deficient cells.
Conclusions:
- Large TDs in cancer likely arise from TRCs.
- The presence of large TDs can serve as a prognostic biomarker.
- Targeting WEE1, CHK1, and ATR may be a therapeutic strategy for cancers with CDK12 deficiency and associated large TDs.
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