Lights and Shadows in Immuno-Oncology Drug Development

Milana Bergamino Sirvén1, Sonia Pernas2,3, Maggie C U Cheang1

  • 1Clinical Studies and Clinical Trials and Statistics Unit, The Institute of Cancer Research, London SM2 5NG, UK.

Cancers
|February 12, 2021
PubMed

Insights

Immuno-oncology (IO) drug development needs optimization for better success rates. Redefining clinical trial designs and focusing on response mechanisms can accelerate approvals for novel cancer therapies.

Area of Science:

  • Oncology
  • Immunology
  • Drug Development

Background:

  • Immuno-oncology (IO) treatments are transforming cancer care, with novel agents beyond checkpoint inhibitors emerging.
  • Many promising IO drugs fail in clinical trials, highlighting a need for improved development strategies.
  • The complexity of IO treatments necessitates a re-evaluation of current drug development pathways.

Purpose of the Study:

  • To identify critical areas for optimizing immuno-oncology drug development.
  • To propose redefined strategies for more efficient trial designs and accelerated approvals.
  • To enhance the success rates of novel IO agents across all cancer types.

Main Methods:

  • Review of current immuno-oncology drug development processes.
  • Identification of key aspects requiring optimization, including mechanisms of action, response types, and adverse events.
  • Emphasis on the role of robust biomarkers and surrogate endpoints in clinical trial design.

Main Results:

  • At least five key areas in IO drug development require redefinition for improved efficiency.
  • Optimizing focus on mechanisms of action, response patterns, and adverse events is crucial.
  • Appropriate clinical trial designs with validated biomarkers and surrogate endpoints are essential for success.

Conclusions:

  • Redefining IO drug development strategies can lead to more successful outcomes and faster approvals.
  • Further research into biomarker-driven patient selection and resistance mechanisms is vital.
  • A concerted effort to optimize IO drug development is necessary for advancing cancer treatment.

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