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Reprogramming CAR with cytokine signaling increases the efficacy of CAR-T cell therapy in solid tumour treatment and confers sustained immune memory [Tumor infiltrated CAR-T cells]

GSE328225 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2026/04/21 Platform GPL24676
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)
Samples
10 samples: 5 × Tumor infiltrated 28Z CAR-T cells, 15 days, vs 5 × Tumor infiltrated S71 CAR-T cells, 15 days,Groups 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.
Summary (written by the submitters)
Chimeric antigen receptor (CAR) T-cell therapy has shown remarkable efficacy in hematologic malignancies but remains limited in solid tumors because of the immunosuppressive microenvironment, tumor heterogeneity, poor immune-cell infiltration, and progressive T-cell dysfunction.
Read the full summary ↓
Because cytokine costimulation is critical for maintaining T-cell fitness, we developed a modular engineering strategy, distinct from previous approaches based on direct insertion of large cytokine receptor fragments, in which the intracellular CAR signaling domain was reconstructed to incorporate compact IL-2/IL-15 receptor–derived activation motifs, thereby enabling antigen-dependent coactivation while preserving the overall architecture of the parental CAR. Through systematic screening, we identified S71 as the optimal construct, with significantly greater antitumor activity than other mutants across multiple solid and hematologic tumor targets. Mechanistically, S71 rewired CAR signaling and reprogrammed tumor-induced metabolic responses through a self-sustaining mechanism, improving mitochondrial function and supporting durable T-cell activity. Functionally, S71 promoted enhanced persistence and robust immune memory responses against solid tumors. These findings demonstrate that modular integration of cytokine signaling motifs into CAR intracellular domains can improve CAR-T-cell fitness and antitumor efficacy, and they establish S71 as a promising strategy for overcoming barriers to CAR-T-cell therapy in solid tumors.
This dataset
Open GSE328225 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE328225_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1454390 and SRA study SRP692395. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × Tumor infiltrated 28Z CAR-T cells, 15 days, vs 5 × Tumor infiltrated S71 CAR-T cells, 15 days,

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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
Datasets on a similar topic

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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.