<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>23(1)</volume><submitter>Vranic S</submitter><pubmed_abstract>Immunotherapy, based on immune checkpoint inhibitors targeting the Programmed cell death ligand 1 (PD-L1) and/or Programmed Death Receptor 1 (PD-1), has substantially improved the outcomes of patients with various cancers. However, only ~30% of patients benefit from immune checkpoint inhibitors. Tumor PD-L1 expression, assessed by immunohistochemistry, is the most widely validated and used predictive biomarker to guide the selection of patients for immune checkpoint inhibitors. PD-L1 assessment may be challenging due to the necessity for different companion diagnostic assays for required specific immune checkpoint inhibitors and a relatively high level of inter-assay variability in terms of performance and cutoff levels. In this review, we discuss the role of PD-L1 immunohistochemistry as a predictive test in immunotherapy (immuno-oncology), highlight the complexity of the PD-L1 testing landscape, discuss various preanalytical, analytical and clinical issues that are associated with PD-L1 assays, and provide some insights into optimization of PD-L1 as a predictive biomarker in immuno-oncology.</pubmed_abstract><journal>Biomolecules &amp; biomedicine</journal><pagination>15-25</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9901897</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>PD-L1 testing by immunohistochemistry in immuno-oncology.</pubmed_title><pmcid>PMC9901897</pmcid><pubmed_authors>Vranic S</pubmed_authors><pubmed_authors>Gatalica Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>PD-L1 testing by immunohistochemistry in immuno-oncology.</name><description>Immunotherapy, based on immune checkpoint inhibitors targeting the Programmed cell death ligand 1 (PD-L1) and/or Programmed Death Receptor 1 (PD-1), has substantially improved the outcomes of patients with various cancers. However, only ~30% of patients benefit from immune checkpoint inhibitors. Tumor PD-L1 expression, assessed by immunohistochemistry, is the most widely validated and used predictive biomarker to guide the selection of patients for immune checkpoint inhibitors. PD-L1 assessment may be challenging due to the necessity for different companion diagnostic assays for required specific immune checkpoint inhibitors and a relatively high level of inter-assay variability in terms of performance and cutoff levels. In this review, we discuss the role of PD-L1 immunohistochemistry as a predictive test in immunotherapy (immuno-oncology), highlight the complexity of the PD-L1 testing landscape, discuss various preanalytical, analytical and clinical issues that are associated with PD-L1 assays, and provide some insights into optimization of PD-L1 as a predictive biomarker in immuno-oncology.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Feb</publication><modification>2025-04-18T16:14:44.287Z</modification><creation>2025-04-07T03:20:08.375Z</creation></dates><accession>S-EPMC9901897</accession><cross_references><pubmed>35964287</pubmed><doi>10.17305/bjbms.2022.7953</doi></cross_references></HashMap>