Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy.
| Autor: | Fortman, Dylan, Karunamurthy, Arivarasan, Hartman, Douglas, Wang, Hong, Seigh, Lindsey, Abukhiran, Ibrahim, Najjar, Yana G, Pantanowitz, Liron, Zarour, Hassane M, Kirkwood, John M, Davar, Diwakar |
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| Předmět: |
CANCER treatment
MELANOMA ACADEMIC medical centers RECEIVER operating characteristic curves RESEARCH funding IMMUNOTHERAPY CANCER patients TUMOR markers LYMPHOCYTES TREATMENT effectiveness MULTIVARIATE analysis DESCRIPTIVE statistics IMMUNE checkpoint inhibitors PROGRAMMED cell death 1 receptors GENETIC mutation PROGRESSION-free survival SPECIALTY hospitals ALGORITHMS SEQUENCE analysis OVERALL survival |
| Zdroj: | Oncologist; Jul2024, Vol. 29 Issue 7, p619-628, 10p |
| Abstrakt: | 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. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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