Mature tertiary lymphoid structures predict immune checkpoint inhibitor efficacy in solid tumors independently of

Lucile Vanhersecke1,2, Maxime Brunet2,3, Jean-Philippe Guégan4

  • 1Department of Pathology, Institut Bergonié, Bordeaux, France.

Nature Cancer
|February 4, 2022
PubMed

Insights

Tertiary lymphoid structures (TLS) presence predicts better outcomes for cancer patients receiving anti-PD1/PD-L1 therapies. Detecting mature TLS can help identify patients likely to benefit from immune checkpoint blockade, improving treatment selection.

Area of Science:

  • Immunology
  • Oncology
  • Cancer Research

Background:

  • Anti-PD1/PD-L1 monoclonal antibodies offer limited long-term clinical benefit to many cancer patients.
  • Tertiary lymphoid structures (TLS) have shown potential as biomarkers for improved survival in various cancers.

Purpose of the Study:

  • To investigate the association between mature tertiary lymphoid structures (TLS) and clinical outcomes in cancer patients treated with anti-PD1/PD-L1 antibodies.
  • To determine if TLS presence can predict response to immune checkpoint blockade independently of other biomarkers.

Main Methods:

  • Retrospective analysis of three independent cohorts of cancer patients.
  • Evaluation of mature TLS presence in tumor tissues.
  • Correlation analysis with objective response rate (ORR), progression-free survival (PFS), and overall survival (OS).

Main Results:

  • The presence of mature TLS was significantly associated with improved ORR, PFS, and OS.
  • This association remained significant regardless of PD-L1 expression status and CD8+ T-cell density.
  • Mature TLS emerged as a robust predictive biomarker for anti-PD1/PD-L1 therapy efficacy.

Conclusions:

  • Mature tertiary lymphoid structures are a promising biomarker for predicting patient response to anti-PD1/PD-L1 therapy.
  • TLS detection can aid in selecting patients who are most likely to benefit from immune checkpoint blockade.
  • Incorporating TLS assessment into clinical practice may optimize immunotherapy treatment strategies.

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