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Missing prognostic value of soluble PD-1, PD-L1 and PD-L2 in lung cancer patients undergoing chemotherapy - A CEPAC-TDM biomarker substudy

  • Kimberly Geiger
  • , Markus Joerger
  • , Max Roessler
  • , Karina Hettwer
  • , Christoph Ritter
  • , Kirsten Simon
  • , Steffen Uhlig
  • , Stefan Holdenrieder
  • Technical University of Munich
  • Cantonal Hospital St Gallen
  • Central European Society for Anticancer Drug Research (CESAR)
  • QuoData Statistics
  • Ernst-Moritz-Arndt Universität Greifswald
  • CEBIO GmbH

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

BACKGROUND: Programmed cell death receptors and ligands in cancer tissue samples are established companion diagnostics for immune checkpoint inhibitor (ICI) therapies. OBJECTIVE: To investigate the relevance of soluble PD-1, PD-L1 and PD-L2 for estimating therapy response and prognosis in non-small cell lung cancer patients (NSCLC) undergoing platin-based combination chemotherapies. METHODS: In a biomarker substudy of a prospective, multicentric clinical trial (CEPAC-TDM) on advanced NSCLC patients, soluble PD-1, PD-L1 and PD-L2 were assessed in serial serum samples by highly sensitive enzyme-linked immunosorbent assays and correlated with radiological response after two cycles of chemotherapy and with overall survival (OS). RESULTS: Among 243 NSCLC patients, 185 achieved response (partial remission and stable disease) and 58 non-response (progression). The distribution of PD-1, PD-L1 and PD-L2 at baseline (C1), prior to staging (C3) and the relative changes (C3/C1) greatly overlapped between the patient groups with response and non-response, thus hindering the discrimination between the two groups. None of the PD markers had prognostic value regarding OS. CONCLUSIONS: Neither soluble PD-1, PD-L1 nor PD-L2 did provide clinical utility for predicting response to chemotherapy and prognosis. Studies on the relevance of PD markers in ICI therapies are warranted.

Original languageEnglish
Pages (from-to)S355-S367
JournalTumor Biology
Volume46
Issue numbers1
DOIs
StatePublished - Mar 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Lung cancer
  • PD-1
  • PD-L1
  • PD-L2
  • prediction
  • prognosis
  • therapy monitoring

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