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Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy.
- Source :
-
The oncologist [Oncologist] 2024 Jul 05; Vol. 29 (7), pp. 619-628. - Publication Year :
- 2024
-
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.<br />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.<br />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.<br />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.<br /> (© The Author(s) 2024. Published by Oxford University Press.)
- Subjects :
- Humans
Female
Male
Middle Aged
Aged
Adult
Immune Checkpoint Inhibitors therapeutic use
Immune Checkpoint Inhibitors pharmacology
Programmed Cell Death 1 Receptor antagonists & inhibitors
Aged, 80 and over
Melanoma drug therapy
Melanoma genetics
Melanoma pathology
Melanoma immunology
Lymphocytes, Tumor-Infiltrating immunology
CD8-Positive T-Lymphocytes immunology
Mutation
Biomarkers, Tumor genetics
Immunotherapy methods
Subjects
Details
- Language :
- English
- ISSN :
- 1549-490X
- Volume :
- 29
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- The oncologist
- Publication Type :
- Academic Journal
- Accession number :
- 38655867
- Full Text :
- https://doi.org/10.1093/oncolo/oyae054