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Do immune checkpoint inhibitors need new studies methodology?

Roberto Ferrara1, Sara Pilotto2, Mario Caccese2

  • 1Department of Medical Oncology, Gustave Roussy, Villejuif, France.

Journal of Thoracic Disease
|June 29, 2018
PubMed
Summary

Immune checkpoint inhibitors (ICI) offer new cancer treatments, but accurate statistical methods and trial designs are needed to assess their long-term benefits. Novel tools and biomarkers are crucial for patient selection and understanding treatment response patterns.

Keywords:
Immune checkpoint inhibitors (ICI)clinical trial designlong-term benefitmilestonesurvival analysis

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Area of Science:

  • Oncology
  • Clinical Trials Methodology
  • Immunotherapy

Background:

  • Immune checkpoint inhibitors (ICI) have revolutionized advanced cancer treatment.
  • Current statistical methods and trial designs struggle to accurately estimate ICI benefits due to unconventional response patterns.

Purpose of the Study:

  • To identify optimal statistical methods, endpoints, and clinical trial designs for evaluating ICI efficacy.
  • To address the unmet need for novel response assessment tools and predictive biomarkers for immunotherapy.

Main Methods:

  • Investigate novel response assessment tools like iRECIST to capture delayed benefits and quantify tumor dynamics.
  • Explore innovative statistical methodologies including milestone analysis, restricted mean survival time (RMST), and parametric models.
  • Emphasize the need for integration and harmonization of predictive biomarker assays, such as PD-L1 expression.
  • Advocate for advanced clinical trial designs like adaptive or biomarker-enriched trials within collaborative platforms.

Main Results:

  • Conventional survival measures (median PFS, HR) may be inadequate for assessing long-term ICI benefits.
  • Novel methods are required to quantify the proportion of patients achieving a durable, potentially curative, response.
  • Standardization of PD-L1 assays is essential for reliable patient selection.

Conclusions:

  • Accurate assessment of immune checkpoint inhibitors requires advanced statistical methods and novel clinical trial designs.
  • Improved response evaluation tools and validated predictive biomarkers are critical for optimizing immunotherapy.
  • Collaborative research platforms and innovative trial designs are key to advancing ICI therapy.