Cleavage and polyadenylation machinery as a novel targetable vulnerability for human cancer

Giulia Pagani1, Paolo Gandellini2

  • 1Department of Biosciences, University of Milan, Via Celoria 26, 20133, Milan, Italy.

Cancer Gene Therapy
|April 17, 2024
PubMed

Insights

Cancer cells rely on cleavage and polyadenylation (CPA) machinery for aggressive growth. Inhibiting CPA factors, like CPSF1, presents a promising new anticancer therapy strategy.

Area of Science:

  • Molecular Biology
  • Cancer Biology
  • Genomics

Background:

  • Alternative polyadenylation (APA) drives cancer aggressiveness by shortening oncogene 3'UTRs, relieving miRNA repression.
  • The therapeutic potential of inhibiting the cleavage and polyadenylation (CPA) machinery in cancer remains underexplored.
  • Deregulation of CPA is increasingly recognized as a hallmark of cancer, suggesting it as a source of therapeutic targets.

Purpose of the Study:

  • To systematically evaluate the fitness of cancer cell lines upon depletion of CPA factors.
  • To identify novel vulnerabilities within the CPA machinery for anticancer therapy development.
  • To explore the potential of CPA inhibition (CPAi) as a broad anticancer strategy.

Main Methods:

  • Utilized genome-scale CRISPR and RNAi dependency maps from the DepMap project.
  • Analyzed the fitness of approximately one thousand cancer cell lines across diverse cancer types.
  • Depleted all known core and accessory CPA factors to assess cellular dependency.

Main Results:

  • Confirmed core and accessory CPA factors as novel cancer vulnerabilities.
  • Demonstrated the potential of CPA inhibition (CPAi) as an anticancer therapeutic approach.
  • Identified CPSF1 as a particularly promising drug development candidate due to low dependency scores across cancers, especially in proliferating cells.

Conclusions:

  • CPA factors represent actionable targets for novel anticancer therapies.
  • CPSF1 is a promising candidate for drug development in CPA inhibition therapy.
  • Differential cancer cell line vulnerabilities to CPA factors can inform predictive signatures for personalized CPAi treatment.

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