Programmed cell death protein 1 (PD-1) inhibitors have efficacy in treating squamous cell carcinoma of the head and neck (SCCHN), but objective response rates are low. PD-1 ligand (PD-L1) expression alone is not considered a robust predictor of response and additional biomarkers are needed. This 3-year observational cohort followed 126 SCCHN patients treated with anti–PD-1/L1 therapy. Prior to treatment, 81 (64%) had targeted massively parallel tumor sequencing. Of these, 42 (52%) underwent fluorescence-activated cell sorting and PD-L1 immunohistochemistry for tumor immunoprofiling. Six (5%) complete responses (CRs) and 11 (9%) partial responses (PRs) were observed. Those treated with prior chemotherapy (98, 78%) versus only surgery and/or radiation had longer overall survival (OS) (10 vs. 3 months, P = 0.02). Smokers had a higher total mutational burden (TMB) (P = 0.01). Virus-positive patients had a lower TMB (P < 0.01) and improved OS (P = 0.02). Among virus-negative responders, NOTCH1 and SMARCA4 were more frequently mutated and frameshift events in tumor suppressor genes occurred more frequently (P = 0.03). Higher TMB and CD8+ T cell infiltrates predicted anti–PD-1/L1 benefit (P < 0.01, P < 0.01, respectively) among virus-negative tumors. TIM-3/LAG-3 coexpression with PD-1 was higher on T cells among nonresponders (P = 0.03 and 0.02, respectively). Somatic frameshift events in tumor suppressor genes and higher TMB among virus-negative SCCHN tumors predict anti–PD-1/L1 response.
Glenn J. Hanna, Patrick Lizotte, Megan Cavanaugh, Frank C. Kuo, Priyanka Shivdasani, Alexander Frieden, Nicole G. Chau, Jonathan D. Schoenfeld, Jochen H. Lorch, Ravindra Uppaluri, Laura E. MacConaill, Robert I. Haddad
Usage data is cumulative from December 2023 through December 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 807 | 286 |
125 | 82 | |
Figure | 147 | 15 |
Table | 56 | 0 |
Supplemental data | 19 | 4 |
Citation downloads | 37 | 0 |
Totals | 1,191 | 387 |
Total Views | 1,578 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.