New Combination Strategies Using Programmed Cell Death 1/Programmed Cell Death Ligand 1 Checkpoint Inhibitors as a Backbone
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Updated: Mar 8, 2026

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology
Published on: May 2, 2025
Siwen Hu-Lieskovan1, Antoni Ribas
1From the Division of Hematology-Oncology, Department of Medicine, Jonsson Comprehensive Cancer Center at the University of California Los Angeles, Los Angeles, CA.
Abstract:
The discovery of immune checkpoints and subsequent clinical development of checkpoint inhibitors have revolutionized the field of oncology. The durability of the antitumor immune responses has raised the hope for long-term patient survival and potential cure; however, currently, only a minority of patients respond. Combination strategies to help increase antigen release and T-cell priming, promote T-cell activation and homing, and improve the tumor immune microenvironment, all guided by predictive biomarkers, can help overcome the tumor immune-evasive mechanisms and maximize efficacy to ultimately benefit the majority of patients. Great challenges remain because of the complex underlying biology, unpredictable toxicity, and accurate assessment of response. Carefully designed clinical trials guided by translational studies of paired biopsies will be key to develop reliable predictive biomarkers to choose which patients would most likely benefit from each strategy.
Insights
Immune checkpoint inhibitors offer hope for cancer cure, but only a few patients respond. Combination therapies and predictive biomarkers are crucial to improve treatment efficacy for more patients.
Area of Science:
- Oncology
- Immunology
- Translational Medicine
Background:
- Immune checkpoint inhibitors have transformed cancer treatment, offering durable responses in some patients.
- However, a significant majority of patients do not respond to current therapies.
- Understanding tumor immune evasion is key to improving patient outcomes.
Purpose of the Study:
- To explore combination strategies to enhance antitumor immune responses.
- To highlight the importance of predictive biomarkers in guiding treatment decisions.
- To address challenges in optimizing cancer immunotherapy.
Main Methods:
- Review of current research on immune checkpoint inhibitors and combination therapies.
- Discussion of strategies to enhance antigen presentation, T-cell activation, and tumor microenvironment modulation.
- Emphasis on the role of translational studies and paired biopsies for biomarker discovery.
Main Results:
- Combination strategies show potential to increase the number of patients benefiting from immunotherapy.
- Predictive biomarkers are essential for selecting appropriate patients for specific treatment strategies.
- Overcoming complex tumor biology and unpredictable toxicities remains a significant challenge.
Conclusions:
- Optimizing cancer immunotherapy requires novel combination approaches guided by robust predictive biomarkers.
- Further research and carefully designed clinical trials are necessary to maximize patient benefit and achieve long-term survival.
- Translational studies are critical for developing reliable biomarkers to personalize immunotherapy.
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