AI Article Synopsis

  • Therapeutic antibodies targeting PD-1/PD-L1 show lasting effects in many melanoma patients, prompting investigation into the relationship between genetic mutations and treatment response.
  • Analysis of melanoma samples revealed that patients responding to anti-PD-1 had significantly higher mutation loads compared to nonresponders, indicating a strong correlation between mutation quantity and therapy effectiveness.
  • Results suggest that mutation load could serve as a practical predictor for patient response to anti-PD-1 therapy, highlighting its importance in personalized cancer treatment strategies.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134329PMC
http://dx.doi.org/10.1158/2326-6066.CIR-16-0143DOI Listing

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