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Updated: Mar 14, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Targeted Next Generation Sequencing Identifies Markers of Response to PD-1 Blockade
Douglas B Johnson1, Garrett M Frampton2, Matthew J Rioth3,4
1Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee. Douglas.b.johnson@vanderbilt.edu.
Abstract:
Therapeutic antibodies blocking programmed death-1 and its ligand (PD-1/PD-L1) induce durable responses in a substantial fraction of melanoma patients. We sought to determine whether the number and/or type of mutations identified using a next-generation sequencing (NGS) panel available in the clinic was correlated with response to anti-PD-1 in melanoma. Using archival melanoma samples from anti-PD-1/PD-L1-treated patients, we performed hybrid capture-based NGS on 236-315 genes and T-cell receptor (TCR) sequencing on initial and validation cohorts from two centers. Patients who responded to anti-PD-1/PD-L1 had higher mutational loads in an initial cohort (median, 45.6 vs. 3.9 mutations/MB; P = 0.003) and a validation cohort (37.1 vs. 12.8 mutations/MB; P = 0.002) compared with nonresponders. Response rate, progression-free survival, and overall survival were superior in the high, compared with intermediate and low, mutation load groups. Melanomas with NF1 mutations harbored high mutational loads (median, 62.7 mutations/MB) and high response rates (74%), whereas BRAF/NRAS/NF1 wild-type melanomas had a lower mutational load. In these archival samples, TCR clonality did not predict response. Mutation numbers in the 315 genes in the NGS platform strongly correlated with those detected by whole-exome sequencing in The Cancer Genome Atlas samples, but was not associated with survival. In conclusion, mutational load, as determined by an NGS platform available in the clinic, effectively stratified patients by likelihood of response. This approach may provide a clinically feasible predictor of response to anti-PD-1/PD-L1. Cancer Immunol Res; 4(11); 959-67. ©2016 AACR.
Insights
High tumor mutational load, identified by next-generation sequencing (NGS), predicts better response to programmed death-1 (PD-1) blockade therapy in melanoma patients. This clinically feasible approach may guide treatment selection for improved outcomes.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Therapeutic antibodies targeting programmed death-1 (PD-1) and its ligand (PD-L1) offer durable responses in a significant proportion of melanoma patients.
- Predicting response to these immunotherapies remains a clinical challenge.
Purpose of the Study:
- To investigate the correlation between tumor mutational load and/or type, assessed by next-generation sequencing (NGS), and response to anti-PD-1/PD-L1 therapy in melanoma.
- To evaluate the clinical feasibility of mutational load as a predictive biomarker.
Main Methods:
- Archival melanoma samples from patients treated with anti-PD-1/PD-L1 were analyzed using hybrid capture-based NGS (236-315 genes) and T-cell receptor (TCR) sequencing.
- Initial and validation cohorts from two centers were utilized.
Main Results:
- Responders exhibited significantly higher mutational loads compared to non-responders in both initial (45.6 vs. 3.9 mutations/MB; P = 0.003) and validation (37.1 vs. 12.8 mutations/MB; P = 0.002) cohorts.
- High mutation load groups showed superior response rates, progression-free survival, and overall survival.
- Melanomas with NF1 mutations had high mutational loads (62.7 mutations/MB) and high response rates (74%). TCR clonality did not predict response.
Conclusions:
- Tumor mutational load, determined by a clinically available NGS platform, effectively stratifies melanoma patients based on their likelihood of response to anti-PD-1/PD-L1 therapy.
- This approach represents a potentially clinically feasible biomarker for predicting immunotherapy response.

