Overcoming resistance to anti-PD-1/PD-L1 therapy in cancer

Lijun Li1,2,3,4, Yanbin Zhao3,4, Xinhong Shi1,2

  • 1Clinical Research Center (CRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing 404100, China.

Insights

Programmed death-1 (PD-1)/PD-L1 inhibitors revolutionized cancer treatment but face resistance. Combination therapies targeting factors like VEGF and CTLA-4, alongside microenvironmental and macroenvironmental strategies, are key to improving patient response rates.

Area of Science:

  • Oncology and Immunology
  • Cancer Immunotherapy

Background:

  • Programmed death-1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitors represent a major advancement in cancer treatment, establishing immunotherapy as a key modality.
  • Despite successes, limited patient response rates and resistance to PD-1/PD-L1 inhibitors remain significant clinical challenges.

Purpose of the Study:

  • To review the development and approval trends of PD-1/PD-L1 inhibitors.
  • To analyze monotherapy efficacy and explore combination strategies to overcome resistance.
  • To provide a framework for precision-driven combination therapies to enhance patient response.

Main Methods:

  • Review of current literature on PD-1/PD-L1 inhibitors, including global approval trends and monotherapy efficacy.
  • Analysis of combination targets such as VEGF, CTLA-4, and LAG-3.
  • Discussion of microenvironmental and macroenvironmental strategies for overcoming resistance.

Main Results:

  • PD-1/PD-L1 inhibitors have seen widespread approval, but resistance limits their effectiveness.
  • Combination therapies, including dual-target regimens like ivonescimab (PD-1/VEGF), show clinical promise.
  • Emerging strategies target tumor microenvironment and host factors to improve outcomes.

Conclusions:

  • Overcoming resistance to PD-1/PD-L1 inhibitors is crucial for expanding immunotherapy benefits.
  • Multi-target combination therapies, considering both tumor and host factors, are essential for converting non-responders to responders.
  • Future research should focus on precision-driven, mechanism-based combination strategies.

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