Enhancing anti-tumour efficacy with immunotherapy combinations.
Funda Meric-Bernstam1, James Larkin2, Josep Tabernero3
1Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Lancet (London, England)
|December 7, 2020
Summary
Predicting immunotherapy response is crucial as many patients lack durable benefit. Biomarkers can guide selection of immunotherapy monotherapy versus combination treatments for improved efficacy.
Area of Science:
- Oncology
- Immunology
- Pharmacology
Background:
- Immunotherapy, particularly immune checkpoint inhibitors, has shown success in various tumors.
- However, a significant proportion of patients do not respond or achieve lasting clinical benefit from these treatments.
Purpose of the Study:
- To review biomarkers that predict response to immunotherapy monotherapy.
- To explore rational combination therapies for enhancing efficacy in non-responsive or resistant patient populations.
Main Methods:
- Literature review of immunotherapy response biomarkers.
- Assessment of combination strategies with chemotherapy, targeted therapy, radiation, intratumoral therapies, immunomodulators, and cell therapies.
- Analysis of adaptive cell therapies, including CAR-T and TCR-based therapies.
Main Results:
- Biomarkers can identify patients suitable for immunotherapy monotherapy.
- Various combination partners are under investigation to overcome resistance.
- A programmatic approach is necessary for selecting biomarker-driven combination therapies.
Conclusions:
- Biomarker-driven selection is key for optimizing immunotherapy outcomes.
- Developing a framework for biomarker-guided combination therapy selection is essential for future clinical success.
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