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Desperately seeking…Models to find the right partner and the best use for checkpoint inhibitors
1Laboratory of Hematology-Oncology, European Institute of Oncology, Milan, Italy. francesco.bertolini@ieo.it.
Abstract:
Immune checkpoint inhibitors have shown unprecedented clinical activity in a variety of cancer types, but only in a fraction of patients. Promising in vivo synergies have been demonstrated between checkpoint inhibitors and other drugs and/or chemotherapy or radiotherapy, and effective models are now needed to select the best combinatorial regimen and disease setting.
Insights
Immune checkpoint inhibitors show promise in cancer treatment but benefit only some patients. New models are needed to identify optimal combination therapies for diverse cancer types.
Area of Science:
- Oncology
- Immunology
- Pharmacology
Background:
- Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy, demonstrating significant clinical activity across numerous cancer types.
- However, a substantial proportion of patients do not respond to ICIs, highlighting the need for improved treatment strategies.
Discussion:
- Preclinical studies suggest synergistic effects when combining ICIs with other therapeutic modalities, including targeted drugs, chemotherapy, and radiotherapy.
- Identifying the most effective combinatorial regimens and specific disease settings is crucial for maximizing patient benefit.
Key Insights:
- The clinical success of ICIs is limited to a subset of patients.
- In vivo studies indicate potent synergies between ICIs and other cancer treatments.
Outlook:
- Development of predictive models is essential for selecting optimal combination therapies.
- Future research should focus on personalized combinatorial approaches to enhance ICI efficacy in broader patient populations.
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