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Single-cell RNA sequencing of head and neck squamous cell carcinoma patient-derived xenografts treated with cetuximab

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Sep 03, 2026 version files 216.88 GB

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Abstract

Cetuximab, an EGFR-targeting monoclonal antibody, benefits only a subset of patients with head and neck cancer (HNC), and the tumor-intrinsic programs distinguishing responders from non-responders remain incompletely defined. This dataset was generated as part of a single-site, single-arm, open-label window-of-opportunity study in which patients with HNC received two doses of preoperative cetuximab prior to surgical resection. Patient-derived xenografts (PDXs) were established from study biopsies, and single-cell RNA sequencing of cetuximab-treated xenograft tissue was used to compare tumors that were clinically sensitive versus resistant to cetuximab. Two PDX models are represented: UW-SCC-185 and UW-SCC-194.

To capture biological heterogeneity within each model, tumors from multiple biological replicates were pooled prior to dissociation (n = 10 for UW-SCC-185; n = 12 for UW-SCC-194). Solid tumors were dissociated to single-cell suspensions, yielding suspensions with average viability exceeding 75%. Libraries were constructed using the PIPseq 3' Single Cell RNA Kit v4.0Plus (Fluent BioSciences/Illumina) — T20 for UW-SCC-185 and T2 for UW-SCC-194 — following the manufacturer's protocol, and sequenced on an Illumina NovaSeq X to a depth of at least 20,000 reads per cell. Reads were processed with PIPseeker against a combined human–mouse reference (GRCh38.p13 + GRCm39) to distinguish human tumor cells from murine stromal cells; quality control, normalization, clustering, and annotation were performed in [Seurat version 5.3.0]. After filtering and downsamples to 3000 cells for both UW-SCC-185 and UW-SCC-194.

Analysis of these data indicated that cetuximab sensitivity is marked by broad transcriptional remodeling, whereas resistance is associated with stable HER-family signaling and elevated TAM receptor activity. Raw sequencing data are deposited here. This Dryad record contains the processed derivatives required to reproduce the published analyses: filtered gene–cell count matrices, per-cell metadata (model, species assignment, cluster and cell-type annotations).

These data are reusable for studies of acquired and intrinsic EGFR-inhibitor resistance, AXL/TAM receptor signaling in solid tumors, comparative analysis of HNC tumor cell states across PDX models, and benchmarking of PIPseq chemistry and human–mouse read deconvolution.