articleJAMA OncologyJul 18, 2019BRONZE OA

Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade

Johns Hopkins University · Yale University · +6 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

Importance

PD-L1 (programmed cell death ligand 1) immunohistochemistry (IHC), tumor mutational burden (TMB), gene expression profiling (GEP), and multiplex immunohistochemistry/immunofluorescence (mIHC/IF) assays have been used to assess pretreatment tumor tissue to predict response to anti-PD-1/PD-L1 therapies. However, the relative diagnostic performance of these modalities has yet to be established.

Objective

To compare studies that assessed the diagnostic accuracy of PD-L1 IHC, TMB, GEP, and mIHC/IF in predicting response to anti-PD-1/PD-L1 therapy. EVIDENCE REVIEW: A search of PubMed (from inception to June 2018) and 2013 to 2018 annual meeting abstracts from the American Association for Cancer Research, American Society of Clinical Oncology, European Society for Medical Oncology, and Society for Immunotherapy of Cancer was conducted to identify studies that examined the use of PD-L1 IHC, TMB, GEP, and mIHC/IF assays to determine objective response to anti-PD-1/PD-L1 therapy. For PD-L1 IHC, only clinical trials that resulted in US Food and Drug Administration approval of indications for anti-PD-1/PD-L1 were included. Studies combining more than 1 modality were also included. Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines were followed. Two reviewers independently extracted the clinical outcomes and test results for each individual study. MAIN OUTCOMES AND MEASURES: Summary receiver operating characteristic (sROC) curves; their associated area under the curve (AUC); and pooled sensitivity, specificity, positive and negative predictive values (PPV, NPV), and positive and negative likelihood ratios (LR+ and LR-) for each assay modality.

Citation impact

617
total citations
FWCI
32.43
Percentile
100%
References
87
Citations per year

Authors

14

Topics & keywords

Keywords
  • Medicine
  • Oncology
  • Immunohistochemistry
  • Internal medicine
  • PD-L1
  • Biomarker
  • Companion diagnostic
  • Clinical trial
UN Sustainable Development Goals
  • Good health and well-being
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