Combination treatment with PD1/PDL-1 inhibitors for sarcomas: state of the art, next questions

Javier Martin-Broto1,2,3, Nadia Hindi1,2,3, David S Moura3

  • 1Medical Oncology Department, Fundación Jimenez Diaz University Hospital.

PubMed
Abstract

Insights

Immune checkpoint inhibitors combined with antiangiogenics, chemotherapy, or other immune checkpoints show promise for sarcoma treatment. Tertiary lymphoid structures are a key biomarker for predicting response to PD1/PDL-1 inhibitors.

Area of Science:

  • Oncology
  • Immunotherapy
  • Sarcoma Research

Background:

  • Sarcomas rarely exhibit intrinsic immune sensitivity markers.
  • Combined immunotherapies aim to enhance PD1/PDL-1 inhibitor efficacy by modulating the tumor microenvironment.
  • Previous studies explored combinations of PD1/PDL-1 inhibitors with antiangiogenics, other immune checkpoints, or chemotherapy.

Purpose of the Study:

  • To review current strategies combining PD1/PDL-1 inhibitors with other agents for sarcoma treatment.
  • To assess the efficacy of these combination therapies based on available trial data.
  • To identify predictive biomarkers for response to PD1/PDL-1 inhibitors in sarcoma.

Main Methods:

  • Review of prospective studies on PD1/PDL-1 inhibitor combinations in sarcoma.
  • Analysis of efficacy data including progression-free survival (PFS) and objective response rate (ORR).
  • Evaluation of predictive biomarkers such as tertiary lymphoid structures (TLS).

Main Results:

  • PD1/PDL-1 inhibitors plus antiangiogenics showed 6-month PFS rates of 46.9-55% and median PFS of 4.7-7.8 months.
  • Combinations with other immune checkpoint inhibitors yielded median PFS of 2.8-4.1 months and ORR of 10-16%.
  • Duplet chemotherapy combined with anti-PD1/PDL-1 achieved the highest ORR (56.2%). Tertiary lymphoid structures with mature dendritic cells emerged as a robust predictive biomarker.

Conclusions:

  • Certain PD1/PDL-1 inhibitor combinations show promise in sarcoma, though direct comparisons with single agents are lacking.
  • Biomarker-driven or histotype-selected studies are crucial for increasing efficacy and informing future trials.
  • Further research is needed to optimize combination strategies and identify patient populations most likely to benefit from these treatments.

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