Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy
- PMID: 38655867
- PMCID: PMC11224974
- DOI: 10.1093/oncolo/oyae054
Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy
Abstract
Background: CD8+ tumor-infiltrating lymphocyte (TIL) predicts response to anti-PD-(L)1 therapy. However, there remains no standardized method to assess CD8+ TIL in melanoma, and developing a specific, cost-effective, reproducible, and clinically actionable biomarker to anti-PD-(L)1 remains elusive. We report on the development of automatic CD8+ TIL density quantification via whole slide image (WSI) analysis in advanced melanoma patients treated with front-line anti-PD-1 blockade, and correlation immunotherapy response.
Methods: Seventy-eight patients treated with PD-1 inhibitors in the front-line setting between January 2015 and May 2023 at the University of Pittsburgh Cancer Institute were included. CD8+ TIL density was quantified using an image analysis algorithm on digitized WSI. Targeted next-generation sequencing (NGS) was performed to determine tumor mutation burden (TMB) in a subset of 62 patients. ROC curves were used to determine biomarker cutoffs and response to therapy. Correlation between CD8+ TIL density and TMB cutoffs and response to therapy was studied.
Results: Higher CD8+ TIL density was significantly associated with improved response to front-line anti-PD-1 across all time points measured. CD8+ TIL density ≥222.9 cells/mm2 reliably segregated responders and non-responders to front-line anti-PD-1 therapy regardless of when response was measured. In a multivariate analysis, patients with CD8+ TIL density exceeding cutoff had significantly improved PFS with a trend toward improved OS. Similarly, increasing TMB was associated with improved response to anti-PD-1, and a cutoff of 14.70 Mut/Mb was associated with improved odds of response. The correlation between TMB and CD8+ TIL density was low, suggesting that each represented independent predictive biomarkers of response.
Conclusions: An automatic digital analysis algorithm provides a standardized method to quantify CD8+ TIL density, which predicts response to front-line anti-PD-1 therapy. CD8+ TIL density and TMB are independent predictors of response to anti-PD-1 blockade.
Keywords: PD-1; PD-L1; TIL; TMB/Mb; biomarker; immunotherapy; melanoma; metastatic; tumor mutation burden.
© The Author(s) 2024. Published by Oxford University Press.
Conflict of interest statement
Hassane M. Zarour: grants/research support (institutional): NIH/NCI, Bristol-Myers Squibb and GlaxoSmithKline. Consultant: Checkmate Pharmaceuticals, GlaxoSmithKline, Bayer, and Vedanta. Intellectual Property: US Patent 63/124,231, “Compositions and Methods for Treating Cancer,” Dec 11, 2020. US Patent 63/208,719, “Compositions and Methods For Responsiveness to Immune Checkpoint Inhibitors (ICI), Increasing Effectiveness of ICI and Treating Cancer,” June 9, 2021. John M. Kirkwood: Grants/Research Support (institutional): Bristol-Myers Squibb, Amgen Inc. Consultant: Bristol-Myers Squibb, Checkmate Pharmaceuticals, Novartis, Amgen Inc., Checkmate, Castle Biosciences, Inc., Immunocore LLC, Iovance, Novartis. Diwakar Davar: Grants/Research Support (institutional): Arcus, CellSight Technologies, Immunocore, Merck, Regeneron Pharmaceuticals Inc., Tesaro/GSK. Consultant: ACM Bio, Ascendis Pharma, Clinical Care Options (CCO), Gerson Lehrman Group (GLG), Merck, Medical Learning Group (MLG), Xilio Therapeutics. CE Speakers’ Bureau: Castle Biosciences. Stockholder: None. Intellectual Property: US Patent 63/124,231, “Compositions and Methods for Treating Cancer,” Dec 11, 2020. US Patent 63/208,719, “Compositions and Methods For Responsiveness to Immune Checkpoint Inhibitors (ICI), Increasing Effectiveness of ICI and Treating Cancer,” June 9, 2021. The other authors indicated no financial relationships.
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