Back

Evaluation of Alcohol, Tobacco, and HPVs Synergistic regulation of Head and Neck Squamous Cell Carcinoma Treatment Response to PD-L1 Checkpoint Inhibitor Treatment

Mokhashi, O. M.; Xin, R.; Gao, L.; Chhabra, R.; Hale, S.; Ongkeko, W. M.

2026-05-29 cancer biology
10.64898/2026.05.26.728017 bioRxiv
Show abstract

Although immune checkpoint inhibitors targeting the programmed death-ligand 1 (PD-L1) axis have transformed the treatment of recurrent and metastatic head and neck squamous cell carcinoma (HNSCC), durable clinical responses remain limited to a minority of patients, and the determinants of treatment resistance remain incompletely understood. Human papillomavirus (HPV) infection, alcohol consumption, tobacco use, and are the three most prominent etiological risk factors for HNSCC; however, despite their well-established individual roles in disease development, the influence of their combined exposure on PD-L1 axis regulation and immunotherapy response remains largely unexplored. In this study, we analyzed multi-omic data from 498 primary HNSCC tumors in The Cancer Genome Atlas (TCGA), stratifying patients into seven subgroups reflecting all observed exposure combinations, with HPV status determined directly from RNA-sequencing reads using Pathoscope. Notably, PD-L1 (CD274) expression was significantly downregulated in the triple-exposure cohort (1.51-fold reduction, p < 0.05), along with reduced expression of the upstream regulator JAK2 (1.44-fold reduction, p < 0.05) being seen. Immune deconvolution suggested progressively greater immune infiltration with accumulating exposures, yet gene set enrichment analysis revealed concurrent downregulation of T cell activation, T cell differentiation, and NK cell-mediated immunity in the triple-exposure subgroup -- consistent with an inflamed but functionally suppressed tumor microenvironment. Preliminary integration with an independent single-cell RNA-sequencing dataset of HNSCC patients undergoing neoadjuvant PD-1/CTLA-4 blockade further suggested enrichment of granulocyte and regulatory T cell populations among non-responding patients. Survival differences between cohorts were also observed, likely reflecting biological heterogeneity driven by distinct etiologies and differences in clinical presentation across exposure groups. Together, these findings provide early insights into how multi-etiological exposure burden may shape PD-L1 axis dysregulation and immune microenvironment remodeling in HNSCC, with potential implications for patient stratification in checkpoint inhibitor therapy.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Cancer Research Communications
46 papers in training set
Top 0.1%
7.3%
2
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.2%
6.9%
3
Clinical Cancer Research
58 papers in training set
Top 0.2%
6.5%
4
Cell Reports Medicine
140 papers in training set
Top 0.4%
6.5%
5
Molecular Oncology
50 papers in training set
Top 0.1%
4.4%
6
Cell Reports
1338 papers in training set
Top 13%
4.0%
7
Nature Communications
4913 papers in training set
Top 42%
3.3%
8
JCI Insight
241 papers in training set
Top 2%
2.9%
9
Frontiers in Immunology
586 papers in training set
Top 3%
2.8%
10
International Journal of Cancer
42 papers in training set
Top 0.4%
2.6%
11
Cancers
200 papers in training set
Top 2%
2.1%
12
Genome Medicine
154 papers in training set
Top 3%
2.1%
50% of probability mass above
13
Journal of Translational Medicine
46 papers in training set
Top 0.5%
2.1%
14
Cancer Cell
38 papers in training set
Top 0.7%
2.1%
15
Frontiers in Oncology
95 papers in training set
Top 2%
1.9%
16
Gastroenterology
40 papers in training set
Top 0.9%
1.9%
17
eBioMedicine
130 papers in training set
Top 0.9%
1.9%
18
Molecular Cancer Therapeutics
33 papers in training set
Top 0.3%
1.8%
19
Scientific Reports
3102 papers in training set
Top 54%
1.8%
20
Molecular Cancer
14 papers in training set
Top 0.3%
1.7%
21
Clinical and Translational Medicine
30 papers in training set
Top 0.4%
1.4%
22
Oncogene
76 papers in training set
Top 1%
1.4%
23
Neuro-Oncology
30 papers in training set
Top 0.5%
1.2%
24
OncoImmunology
22 papers in training set
Top 0.2%
1.2%
25
British Journal of Cancer
42 papers in training set
Top 1%
1.0%
26
Cancer Research
116 papers in training set
Top 3%
1.0%
27
eLife
5422 papers in training set
Top 51%
1.0%
28
PLOS ONE
4510 papers in training set
Top 62%
1.0%
29
Cancer Epidemiology, Biomarkers & Prevention
17 papers in training set
Top 0.5%
0.9%
30
Annals of Oncology
13 papers in training set
Top 0.9%
0.8%