Immunotherapy-Induced Sialadenitis: Clinical, Histological, and Preclinical Data

A 2026 study by Shuyuan Song integrates data from a prospective cohort of 25 head and neck squamous cell carcinoma patients, tissue analysis from 60 patients, and a preclinical mouse model. The research characterizes immune checkpoint inhibitor-associated sialadenitis, identifying CD4+ T cell-driven inflammation mediated by the Th17/IL-17 axis. The dataset, published on figshare, includes findings from functional assessments, multi-platform immunophenotyping, and cytokine quantification.

Use Cases

• Characterizing the immune cell infiltrate in sialadenitis based on described CD4+ and Th17 T cell dominance.
• Investigating cytokine pathways in autoimmune-like side effects based on the described upregulation of IL-17A.
• Comparing histopathological features of drug-induced and primary autoimmune sialadenitis based on described periductal fibrosis and acinar loss.
• Validating therapeutic targets for immunotherapy complications based on the described preclinical model of IL-17A blockade.

Strengths

• Integrates human clinical data from 25 patients with tissue analysis from 60 patients.
• Includes validation from a preclinical mouse model to establish causality.
• Employs multi-platform immunophenotyping including immunohistochemistry, multiplex immunofluorescence, and flow cytometry.

Limitations

• The primary data format is a 1.4 MB PDF supplementary file; underlying raw data tables are not directly accessible.
• Row and column counts for any underlying tabular data are unknown.
• The description is detailed for the study but does not specify the structure of the dataset itself.

Provenance

Source

Shuyuan Song via figshare.

Collection Method

Data was gathered from a prospective clinical cohort, analysis of patient tissue samples, and a preclinical mouse model.

Freshness

Last updated 2026-03-18.