Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer Journal Article


Authors: Hinterleitner, C.; Strähle, J.; Malenke, E.; Hinterleitner, M.; Henning, M.; Seehawer, M.; Bilich, T.; Heitmann, J.; Lutz, M.; Mattern, S.; Scheuermann, S.; Horger, M.; Maurer, S.; Walz, J.; Fend, F.; Handgretinger, R.; Seitz, C.; Weigelin, B.; Singer, S.; Salih, H.; Borst, O.; Kopp, H. G.; Zender, L.
Article Title: Platelet PD-L1 reflects collective intratumoral PD-L1 expression and predicts immunotherapy response in non-small cell lung cancer
Abstract: Immune-checkpoint inhibitors (ICI) have transformed oncological therapy. Up to 20% of all non-small cell lung cancers (NSCLCs) show durable responses upon treatment with ICI, however, robust markers to predict therapy response are missing. Here we show that blood platelets interact with lung cancer cells and that PD-L1 protein is transferred from tumor cells to platelets in a fibronectin 1, integrin α5β1 and GPIbα-dependent manner. Platelets from NSCLC patients are found to express PD-L1 and platelet PD-L1 possess the ability to inhibit CD4 and CD8 T-cells. An algorithm is developed to calculate the activation independent adjusted PD-L1 payload of platelets (pPD-L1Adj.), which is found to be superior in predicting the response towards ICI as compared to standard histological PD-L1 quantification on tumor biopsies. Our data suggest that platelet PD-L1 reflects the collective tumor PD-L1 expression, plays important roles in tumor immune evasion and overcomes limitations of histological quantification of often heterogeneous intratumoral PD-L1 expression. © 2021, The Author(s).
Keywords: immune system; protein; blood; algorithm; tumor; cell; cancer
Journal Title: Nature Communications
Volume: 12
ISSN: 2041-1723
Publisher: Nature Publishing Group  
Date Published: 2021-12-01
Start Page: 7005
Language: English
DOI: 10.1038/s41467-021-27303-7
PROVIDER: scopus
PMCID: PMC8636618
PUBMED: 34853305
DOI/URL:
Notes: Article -- Export Date: 3 January 2022 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Stefanie Maurer
    8 Maurer