Tumor-Independent Host Secretomes Induced By Angiogenesis and Immune-Checkpoint Inhibitors

Michalis Mastri1, Christina R Lee2, Amanda Tracz1

  • 1Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.

Insights

Cancer therapies induce changes in circulating proteins, known as therapy-induced secretomes (TIS). These host TIS signatures vary by drug, offering insights into treatment effects beyond tumors.

Area of Science:

  • Oncology
  • Proteomics
  • Transcriptomics

Background:

  • Circulating blood protein levels can change during cancer therapy.
  • Monitoring therapy-induced secretomes (TIS) may serve as biomarkers for drug efficacy, toxicity, and resistance.
  • Non-tumor 'host' responses significantly impact systemic secretory programs during treatment.

Purpose of the Study:

  • To comparatively analyze host TIS in tissues and plasma of cancer-free mice treated with various targeted inhibitors.
  • To investigate the impact of different drug classes (antibodies, RTKIs) and targets (VEGF, cMet/ALK, PD-1) on host TIS.
  • To assess the relationship between transcriptomic and proteomic host TIS signatures.

Main Methods:

  • Comparative transcriptomic and proteomic analysis.
  • Treatment of cancer-free mice with antibody and receptor tyrosine kinase inhibitors (RTKI) targeting VEGF, cMet/ALK, and PD-1 pathways.
  • Analysis of host TIS in tissues and plasma.

Main Results:

  • All tested cancer therapies induced TIS independently of tumor growth.
  • Receptor tyrosine kinase inhibitors (RTKIs) showed higher systemic secretory gene change intensity than antibodies.
  • Host TIS signatures demonstrated variability based on drug target, class, and dose.
  • Transcriptomic and proteomic signatures were not always predictive of each other.

Conclusions:

  • Host TIS are a common response to cancer therapies, irrespective of tumor status.
  • Understanding host TIS is crucial for identifying potential biomarkers and predicting drug benefits or limitations, especially in combination therapies.
  • Transcriptomic data alone may be insufficient for developing circulating protein biomarkers.

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