Deciphering the Genomic Landscape of Oropharyngeal Squamous Cell Carcinoma: Distinct Mutation Patterns in Disease

TL;DR

This study analyzed the genomic mutations in oropharyngeal cancer to identify patterns that could help guide personalized treatments.

Contribution

The study reveals distinct mutation patterns in oropharyngeal cancer subgroups, including gender-specific and tumor stage-specific genomic alterations.

Findings

TP53, PIK3CA, and KMT2D were the most frequently mutated genes in OPSCC.

Primary tumors showed TP53 and CDKN2A mutations, while metastatic tumors had CBLB and BUB1B mutations.

Co-occurrence of PIK3CA and FBXW7 and mutual exclusivity of TP53 and CYLD were observed.

Abstract

Objective: We aimed to characterize the somatic mutational landscape of oropharyngeal squamous cell carcinoma (OPSCC) and identify potential genomic drivers of tumor progression and therapeutic resistance using the AACR GENIE database. Study Design: Retrospective genomic analysis was employed. Setting: We used publicly available data from the American Association for Cancer Research (AACR) Project GENIE database accessed via cBioPortal. Methods: We analyzed 412 tumor samples from 401 patients diagnosed with OPSCC. Somatic mutations, clinical variables and tumor characteristics were extracted and analyzed. Statistical comparisons of mutation frequencies across gender and tumor stage (primary vs. metastatic) were conducted. Co-occurrence and mutual exclusivity analyses were performed to identify significant genomic patterns. Results: The most frequently mutated genes included TP53 (30.1%), PIK3CA (26.0%), and KMT2D (21.6%). Gender-specific analyses suggested potential enrichment of TP53 and MET mutations in females and of ZNF750 in males. Distinct mutation patterns were observed between primary and metastatic tumors; primary tumors were enriched for mutations in TP53 and CDKN2A, while metastatic lesions harbored unique alterations in genes like CBLB and BUB1B, suggesting pathways involved in immune evasion and chromosomal instability may drive disease progression. Co-occurrence was noted between PIK3CA and FBXW7, and mutual exclusivity between TP53 and CYLD. Conclusions: This study identifies distinct genomic signatures in OPSCC subgroups, highlighting candidate biomarkers in pathways like PI3K/AKT signaling that warrant further investigation. Validating these markers in prospective trials is a critical next step to translate these findings into personalized therapeutic strategies for OPSCC patients.

Figures