4.7 Article

Extracellular vesicle PD-L1 dynamics predict durable response to immune-checkpoint inhibitors and survival in patients with non-small cell lung cancer

Journal

Publisher

BMC
DOI: 10.1186/s13046-022-02379-1

Keywords

Extracellular vesicles; PD-L1; Biomarkers; Immunotherapy; NSCLC

Categories

Funding

  1. Center for Thoracic Oncology Icahn School of Medicine at Mount Sinai
  2. Borsa Dottorati FSE XXXII ciclo Unime
  3. NIH/NCI [P30CA016672]
  4. University of Pittsburgh Hillman Cancer Center
  5. Hillman Cancer Center's NCI Cancer Center Support Grant (CCSG) [P30CA047904]
  6. A.S.S.O. (Associazione Siciliana Sostegno Oncologico) Onlus
  7. National Cancer Institute-Cancer Center Support Grant (CCSG) [P30CA134274]
  8. Merck Sharp Dohme

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This study evaluated the use of extracellular vesicle PD-L1 expression as a biomarker for predicting durable treatment response and survival in non-small cell lung cancer (NSCLC) patients receiving immune-checkpoint inhibitors (ICIs). The results showed that an increase in extracellular vesicle PD-L1 was observed in non-responders compared to responders and was an independent biomarker for shorter progression-free survival and overall survival. In contrast, tissue PD-L1 expression, the commonly used biomarker, was not predictive for durable response or survival.
Background Immune-checkpoint inhibitors (ICIs) changed the therapeutic landscape of patients with lung cancer. However, only a subset of them derived clinical benefit and evidenced the need to identify reliable predictive biomarkers. Liquid biopsy is the non-invasive and repeatable analysis of biological material in body fluids and a promising tool for cancer biomarkers discovery. In particular, there is growing evidence that extracellular vesicles (EVs) play an important role in tumor progression and in tumor-immune interactions. Thus, we evaluated whether extracellular vesicle PD-L1 expression could be used as a biomarker for prediction of durable treatment response and survival in patients with non-small cell lung cancer (NSCLC) undergoing treatment with ICIs. Methods Dynamic changes in EV PD-L1 were analyzed in plasma samples collected before and at 9 +/- 1 weeks during treatment in a retrospective and a prospective independent cohorts of 33 and 39 patients, respectively. Results As a result, an increase in EV PD-L1 was observed in non-responders in comparison to responders and was an independent biomarker for shorter progression-free survival and overall survival. To the contrary, tissue PD-L1 expression, the commonly used biomarker, was not predictive neither for durable response nor survival. Conclusion These findings indicate that EV PD-L1 dynamics could be used to stratify patients with advanced NSCLC who would experience durable benefit from ICIs.

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