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Humanized and Charge-Optimized CSPG4-Specific CAR-T Cells Show Enhanced Efficacy Against Head and Neck Squamous Cell Carcinoma

GSE315646 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2026/01/06 Platform GPL24676Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 10 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Head and neck cancerThis series is part of our curated briefing on it.
Samples
10 samples: 3 × RNA-seq of CNE-2 CSPG4-Hu repeat vs 2 × RNA-seq of CNE-2 CSPG4-WT repeatGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Humanized and Charge-Optimized CSPG4-Specific CAR-T Cells show Enhanced Efficacy against Head and Neck Squamous Cell CarcinomaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Summary (written by the submitters)
Chimeric antigen receptor (CAR) T cell therapy for head and neck squamous cell carcinoma (HNSCC) is hampered by the lack of a robust tumor antigen and a suitable CAR design.CSPG4 is highly expressed in HNSCC clinical samples and cell lines, correlating with poor prognosis. Its knockout markedly reduced tumor cell proliferation in vitro and in vivo, validating CSPG4 as an attractive CAR target.
Read the full summary ↓
First‑generation CSPG4.CAR‑T cells bearing the murine scFv 763.74 showed potent in vitro cytotoxicity but failed to control tumor growth in vivo due to excessive tonic signaling and early exhaustion. By humanizing the scFv framework to reduce positive_x001E_charge residues and immunogenicity, we generated CAR_x001E_T cells with low tonic signaling, diminished exhaustion and differentiation, enhanced tumor_x001E_specific killing, and prolonged in vivo persistence, resulting in superior antitumor activity in both xenograft and PDX models.
Published in
Humanized and Charge-Optimized CSPG4-Specific CAR-T Cells show Enhanced Efficacy against Head and Neck Squamous Cell Carcinoma
Xu X, Qiu S, Wang Z et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41698053 · doi:10.1002/advs.202519746
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE315646_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1398384 and SRA study SRP659832. Searching any of these in the dataset finder brings you back here.

Study design
3 × RNA-seq of CNE-2 CSPG4-Hu repeat vs 2 × RNA-seq of CNE-2 CSPG4-WT repeat

Supports a case/control comparison: 1 samples read as cases, 1 as controls.

How we read this: 2 replicated groups read from 10 sample titles; they account for 5 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
More Head and neck cancer datasets

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.