An mRNA expression-based signature for oncogene-induced replication-stress

Sergi Guerrero Llobet1, Arkajyoti Bhattacharya1, Marieke Everts1

  • 1Department of Medical Oncology, University Medical Center Groningen, Groningen, the Netherlands.

Oncogene
|January 29, 2022
PubMed

Insights

Identifying tumors with high replication stress is crucial for cancer treatment. This study introduces a six-gene signature for oncogene-induced replication stress, applicable across various cancer subtypes like ovarian and breast cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Oncogene-induced replication stress is a hallmark of aggressive cancers, yet identifying affected tumors is challenging.
  • Targeting replication stress is a promising therapeutic strategy, necessitating reliable biomarkers.

Purpose of the Study:

  • To develop and validate a gene expression signature for identifying oncogene-induced replication stress.
  • To assess the prevalence of this stress signature across diverse cancer subtypes.

Main Methods:

  • Engineered cancer cell lines to induce replication stress via oncogene overexpression (CDC25A, CCNE1, MYC).
  • Performed RNA sequencing to identify differentially expressed genes.
  • Analyzed large-scale patient tumor datasets (TCGA, GEO) for gene expression and oncogene amplification.
  • Validated the signature using immunohistochemistry for NAT10 and DNA damage markers (phospho-RPA, γH2AX).

Main Results:

  • Identified a 52-gene signature of oncogene-induced replication stress in cell lines.
  • Developed a refined six-gene signature (NAT10, DDX27, ZNF48, C8ORF33, MOCS3, MPP6) by integrating cell line and patient data.
  • NAT10 expression strongly correlated with DNA damage markers in breast cancer.
  • Applied the signature to over 22,000 patient samples, revealing high replication stress in diffuse large B cell lymphoma, ovarian cancer, triple-negative breast cancer, and colorectal carcinoma.

Conclusions:

  • The six-gene signature effectively identifies oncogene-induced replication stress.
  • This signature can stratify patients and guide the development of replication stress-targeting therapies.
  • Specific cancer subtypes exhibit a high burden of oncogene-induced replication stress, representing potential candidates for targeted treatments.

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