Context-dependent rewiring of dual-function proteins in cancer: a sequential strategy to restore apoptosis

Leon Strzadala1

  • 1Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland.

Frontiers in Oncology
|October 23, 2025
PubMed

Insights

Cancer cells resist programmed cell death, a key therapy barrier. A new strategy targets the tumor microenvironment (TME), Ras signaling, and p53 activity sequentially to restore apoptosis.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Therapeutics

Background:

  • Resistance to programmed cell death (apoptosis) is a hallmark of cancer, hindering effective treatment.
  • Key proteins like p53, Ras, and NF-κB regulate cell fate, but become deregulated by mutations and tumor microenvironment (TME) signals.
  • Previous therapies often overlook crucial mechanisms, such as Ras-mediated suppression of p53, contributing to treatment failure.

Purpose of the Study:

  • To critically analyze existing therapeutic approaches for overcoming cancer's resistance to apoptosis.
  • To propose a novel, sequential therapeutic strategy for restoring cancer cells' apoptotic competence.
  • To highlight the importance of addressing tumor microenvironment adaptations and oncogenic signaling pathways.

Main Methods:

  • Review and critical analysis of previous therapeutic strategies targeting cancer cell death pathways.
  • Identification and emphasis on overlooked mechanisms, including Ras-mediated p53 suppression.
  • Proposal of a phased therapeutic approach integrating TME modulation, Ras inhibition, and p53 restoration.

Main Results:

  • Dismantling TME adaptations (hypoxia, inflammation, autophagy) is proposed as the first step.
  • Inhibiting oncogenic Ras signaling is the second critical step in the proposed strategy.
  • Restoring p53 activity is the final step to re-sensitize cancer cells to apoptosis.

Conclusions:

  • A sequential, phased therapeutic strategy offers a rational framework for overcoming resistance to programmed cell death in cancer.
  • This approach integrates biomarker-guided patient stratification and considers tumor-microenvironment co-evolution.
  • The proposed strategy provides a pathway for translational and clinical testing to improve cancer therapy outcomes.

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