Spatial Transcriptomic Analysis of Surgical Resection Specimens of Primary Head and Neck Squamous Cell Carcinoma Treated with Afatinib in a Window-of-Opportunity Study (EORTC90111-24111)

TL;DR

This study uses spatial transcriptomics to analyze how afatinib affects tumor and microenvironment changes in head and neck cancer patients.

Contribution

The study identifies 13 genes linked to tumor evolution after afatinib treatment, offering potential targets for future therapies.

Findings

Afatinib treatment leads to the emergence of genes involved in EMT, MET, and PDGF pathways in tumors.

Differential expression analysis revealed 123 common genes across tumor nodules, linked to cancer pathways.

A list of 13 genes was identified as potential targets to prevent tumor progression after anti-HER therapy.

Abstract

Afatinib-induced tumor and microenvironment modifications in head and neck squamous cell carcinoma were evaluated by spatial transcriptomics in surgical specimens and RNA-sequencing in tumor biopsies of patients included in the EORTC-90111-24111 window-of-opportunity study. The aim was to explore tumor evolution and composition under anti-HER therapy. Based on our previous investigations by RNA-seq on tumor biopsies, surgical slides of ID08 and ID15 from the epithelial-to-mesenchymal (EMT) cluster and ID30 from the non-EMT cluster were investigated with spatial transcriptomics. Dimension reduction in ID30 revealed 14 clusters, with clusters overlapping three tumor nodules and the stroma. Differential expression analysis between tumor nodules showed enrichment of the hallmark EMT genelist, with 123 genes in common between the analyses. These genes were involved in PDGF and MET signaling pathways. By comparing gene expression in paired tumor biopsies and the 123 genes from differential analyses obtained in ID30, a list of 13 genes involved in cancer pathways and EMT emerged, which were also highly expressed in ID08 and ID15. These results show a progressive apparition of genes implicated in EMT, MET, and PDGF pathways in tumors after afatinib. Notably, a list of 13 genes emerged which may contain targets to prevent tumor evolution after anti-HER therapy.

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