Biomarker-Driven Personalized Immunoprevention: Toward More Efficient Clinical Trials?

Sai Yendamuri1, Konstantin H Dragnev2

  • 1Department of Thoracic Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York.

Insights

Patients with clonal hematopoiesis mutations, especially in the TET2 gene, may benefit from canakinumab, an anti-interleukin-1β drug, experiencing reduced cancer risk. This suggests personalized cancer prevention strategies could improve trial feasibility.

Area of Science:

  • Oncology
  • Genetics
  • Immunology

Background:

  • Clonal hematopoiesis (CH) is associated with increased inflammation and cancer risk.
  • Interleukin-1β (IL-1β) is a key inflammatory cytokine implicated in cancer development.
  • The CANTOS trial evaluated canakinumab, an anti-IL-1β monoclonal antibody, for cardiovascular risk reduction.

Purpose of the Study:

  • To investigate the association between clonal hematopoiesis mutations and cancer risk reduction with canakinumab treatment.
  • To explore the potential of targeting IL-1β for personalized cancer chemoprevention in individuals with CH.

Main Methods:

  • Secondary analysis of patient specimens from the CANTOS randomized controlled trial.
  • Genotyping of peripheral blood DNA to identify clonal hematopoiesis mutations, with a focus on TET2.
  • Assessment of cancer incidence in relation to canakinumab treatment and presence of CH mutations.

Main Results:

  • Patients with clonal hematopoiesis mutations, particularly TET2 mutations, showed a significant decrease in cancer risk when treated with canakinumab.
  • The presence of CH mutations predicted a beneficial response to anti-IL-1β therapy in terms of cancer risk reduction.
  • Although numbers were small, the findings suggest a potential biomarker for canakinumab efficacy in cancer prevention.

Conclusions:

  • Clonal hematopoiesis mutations, especially in TET2, may identify patients who benefit from canakinumab for cancer risk reduction.
  • These findings support the development of personalized chemoprevention strategies based on genetic profiles.
  • Personalized approaches could enhance the design and feasibility of future cancer prevention trials.

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