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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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A network approach to developing immuno-oncology combinations in Canada.

V Higenell1, R Fajzel1, G Batist1,2

  • 1Exactis Innovation, Sir Mortimer B. Davis Jewish General Hospital, Montreal, QC.

Current Oncology (Toronto, Ont.)
|May 3, 2019
PubMed
Summary

Combining immune checkpoint inhibitors shows promise for cancer treatment. A Canadian network approach using longitudinal data can address challenges like resistance and toxicity, advancing immuno-oncology research.

Keywords:
Immuno-oncologybiobankingcancer networksmolecular cancer registriesmolecular profilingprecision oncology

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Area of Science:

  • Immuno-oncology (IO) research
  • Cancer therapeutics
  • Biomarker discovery

Background:

  • Immune checkpoint inhibitors have transformed cancer care, but improving response rates and duration remains crucial.
  • Combining therapies like CTLA-4 and PD-1/L1 inhibitors offers potential synergistic efficacy but faces challenges.
  • Key challenges include predicting patient outcomes, overcoming therapeutic resistance, and managing immune-related toxicities.

Purpose of the Study:

  • To explore how a pan-Canadian network can advance immuno-oncology combination research.
  • To identify strategies for addressing clinical challenges in IO combination therapy.
  • To leverage longitudinal patient data for deeper insights into treatment efficacy and resistance.

Main Methods:

  • A roundtable event convened Canadian clinical and scientific advisors in November 2017.
  • Discussion focused on leveraging the Personalize My Treatment molecular cancer registry.
  • Expert advice centered on data collection, network collaboration, and assay harmonization.

Main Results:

  • Expert advice emphasized leveraging longitudinal patient data collection for long-term follow-up.
  • Facilitating network collaboration and assay harmonization is key to advancing research.
  • Synergizing with existing initiatives and developing Canadian-led IO combination trials were recommended.

Conclusions:

  • A longitudinal network-based approach can address critical questions in immuno-oncology combinations.
  • The Personalize My Treatment registry is well-positioned to accelerate Canadian IO research.
  • Recommendations include data sharing, collaborative efforts, and developing novel combination trials.