Capturing Unicorns: Targeting Cancers With TP53 Mutations, RAS Alterations Beyond G12C, and MTAP Loss-No Target Is Out of the Realm of Possibility.

Pooja A Shah,K. Wiman,K. Cichowski,J. Rodon Ahnert

Published 2025 in American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting

ABSTRACT

In cancer genomics, there is the realization that some very frequently mutated genes like TP53 or KRAS are extremely hard to approach from a therapeutic perspective. In the realm of cancer treatment, the development of agents capable of transforming these alterations into actionable targets would be like capturing unicorns. These unicorns of oncology-drugs targeting undruggable targets that span various cancer types-offer an exciting opportunity for the development of histology-agnostic therapies. Among these, recent developments in targeting TP53 mutations, KRAS alterations, and MTAP loss mark pivotal advancements for innovative treatment strategies. TP53 mutations, which occur in nearly every cancer type, are central to tumorigenesis and contribute to resistance against conventional therapies. KRAS mutations, especially in cancers like pancreatic and lung cancers, are notoriously difficult to target but are now yielding promising therapeutic avenues. Similarly, MTAP is frequently deleted in cancers such as lung, pancreatic, and mesothelioma and plays a critical role in cellular metabolism and epigenetics, making its loss a significant vulnerability in tumor cells. Recent developments in drug discovery provide a broad foundation for the clinical testing of drugs that target common mechanisms across diverse tumor types, offering hope for a more universal approach to cancer treatment.

PUBLICATION RECORD

  • Publication year

    2025

  • Venue

    American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting

  • Publication date

    2025-06-01

  • Fields of study

    Biology, Medicine

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar, PubMed

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REFERENCES

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