Survival association of PIK3CA in HPV-driven head and neck squamous cell carcinoma (HNSCC).

6056 Background: Across many solid tumor malignancies, including head and neck squamous cell carcinoma (HNSCC), clinical trial data has supported the integration of PD1 Immune Checkpoint Inhibitors (ICIs) into treatment algorithms; however, durable response to single agent therapy occurs in only a fraction of patients. Thus, there is a great need to understand the molecular underpinnings of response and resistance mechanisms. PIK3CA mutation is a common driver of HPV+ mediated malignancy. We sought to understand the prevalence and clinical impact of PIK3CA mutation in HPV+ and HPV- cancer by applying a multi-omics approach to a large, clinically appended dataset. Methods: HNSCC (N = 1901) patient who underwent DNA (592-gene or whole exome) and RNA (whole transcriptome) sequencing at Caris Life Sciences (Phoenix, AZ) was queried to identify HPV+ and HPV- HNSCC cohort. Tumor mutational burden (TMB) was measured by totaling all somatic mutations (mt) per tumor (TMB-H: > 10 mt/MB). Real-world overall survival (rwOS) was obtained from insurance claims data, calculated from either time of biopsy (OS) or start of immunotherapy ( IO OS) to last contact, or time on ICI ( IO TOT). Mann-Whitney U and X 2 /Fisher-Exact tests were applied, with p -values adjusted ( p < .05). Results: Compared to HPV- samples, PIK3CA mutation was highly associated with HPV+ primary (28.5% vs 11.4%, p <0.01) and metastatic (23.8% vs 11.2%, p<0.01) lesions. The prevalence of TMB-H was significantly higher in both HPV+ (30.7% vs 7.9%, p<0.01) and HPV- (30.7% vs 18.2%, p<0.01) with PIK3CA mutation compared to WT. HPV- disease showed significantly worse survival as expected (HR = 0.63, p<0.001), while PIK3CA mut /wt status was not associated with differences in OS among HPV+ (HR = 1.05, p = 0.78) or HPV- cohorts (HR = 1.11, p = 0.44). However, irrespective of tumor site and metastatic status, mutPIK3CA HPV+ patients’ trend towards an increased IO OS (HR = 0.64, p =0.176) and increased IO TOT compared to wtPIK3CA patients (HR = 0.72, p = 0.073). In contrast, mutPIK3CA HPV- HNSCC showed worse IO OS (HR = 1.65, p<0.001) and a trend toward decreased IO TOT (HR = 1.20, p=0.248) compared to wtPIK3C patients. Conclusions: Data from this cohort indicate potential survival association for PIK3CA mutation, with differing impact in HPV+ and HPV- HNSCC. Further research is needed to explore the mechanism underlying these findings and identify other molecular factors that might contribute to the observed outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.6056
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Survival association of PIK3CA in HPV-driven head and neck squamous cell carcinoma (HNSCC).

Ammar Sukari, Joseph Curry, Hani Samarah, Tolulope Adeyelu et al.
Journal of Clinical Oncology
Head and Neck Cancer Studies
article

Survival association of PIK3CA in HPV-driven head and neck squamous cell carcinoma (HNSCC).

Ammar Sukari, Joseph Curry, Hani Samarah, Tolulope Adeyelu, Andrew Elliott, Matthew James Oberley, Trisha M. Wise‐Draper, Kelly Bridgham, Farah Abdulla, Jennifer M. Johnson
article en

Abstract

6056 Background: Across many solid tumor malignancies, including head and neck squamous cell carcinoma (HNSCC), clinical trial data has supported the integration of PD1 Immune Checkpoint Inhibitors (ICIs) into treatment algorithms; however, durable response to single agent therapy occurs in only a fraction of patients. Thus, there is a great need to understand the molecular underpinnings of response and resistance mechanisms. PIK3CA mutation is a common driver of HPV+ mediated malignancy. We sought to understand the prevalence and clinical impact of PIK3CA mutation in HPV+ and HPV- cancer by applying a multi-omics approach to a large, clinically appended dataset. Methods: HNSCC (N = 1901) patient who underwent DNA (592-gene or whole exome) and RNA (whole transcriptome) sequencing at Caris Life Sciences (Phoenix, AZ) was queried to identify HPV+ and HPV- HNSCC cohort. Tumor mutational burden (TMB) was measured by totaling all somatic mutations (mt) per tumor (TMB-H: > 10 mt/MB). Real-world overall survival (rwOS) was obtained from insurance claims data, calculated from either time of biopsy (OS) or start of immunotherapy ( IO OS) to last contact, or time on ICI ( IO TOT). Mann-Whitney U and X 2 /Fisher-Exact tests were applied, with p -values adjusted ( p < .05). Results: Compared to HPV- samples, PIK3CA mutation was highly associated with HPV+ primary (28.5% vs 11.4%, p <0.01) and metastatic (23.8% vs 11.2%, p<0.01) lesions. The prevalence of TMB-H was significantly higher in both HPV+ (30.7% vs 7.9%, p<0.01) and HPV- (30.7% vs 18.2%, p<0.01) with PIK3CA mutation compared to WT. HPV- disease showed significantly worse survival as expected (HR = 0.63, p<0.001), while PIK3CA mut /wt status was not associated with differences in OS among HPV+ (HR = 1.05, p = 0.78) or HPV- cohorts (HR = 1.11, p = 0.44). However, irrespective of tumor site and metastatic status, mutPIK3CA HPV+ patients’ trend towards an increased IO OS (HR = 0.64, p =0.176) and increased IO TOT compared to wtPIK3CA patients (HR = 0.72, p = 0.073). In contrast, mutPIK3CA HPV- HNSCC showed worse IO OS (HR = 1.65, p<0.001) and a trend toward decreased IO TOT (HR = 1.20, p=0.248) compared to wtPIK3C patients. Conclusions: Data from this cohort indicate potential survival association for PIK3CA mutation, with differing impact in HPV+ and HPV- HNSCC. Further research is needed to explore the mechanism underlying these findings and identify other molecular factors that might contribute to the observed outcomes.

Journal of Clinical OncologyVol. 43(16_suppl)
Thomas Jefferson University (US), The Barbara Ann Karmanos Cancer Institute (US), Caris Life Sciences (United States) (US), University of Cincinnati (US)
Openalex Percentile: Top 83%
Head and Neck Cancer Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.