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The critical role of the host endogenous immune compartment after intracerebroventricular CAR T cell therapy in recurrent GBM

GSE296419 Homo sapiens (human) RNA-seq (gene expression) 143 samples Submitted 2026/06/30 Platform GPL18573Platform GPL24676Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 143 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
GlioblastomaThis series is part of our curated briefing on it.
Samples
143 samples: 140 distinct titles, 3 of them repeatedGroups 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)
Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, with a median survival of under 15 months and no effective treatment after recurrence. A recent phase I trial of intracerebroventricular (ICV) bivalent CAR T cells in recurrent GBM showed promising responses, including tumor reduction and prolonged survival.
Read the full summary ↓
However, relapse remains common. We performed in-depth profiling of longitudinal CSF and tumor samples from responders and non-responders to characterize immune dynamics following infusion. Our study reveals that while CAR T cells activate post-infusion across all patients, outcomes were defined by divergent remodeling of the endogenous immune landscape. Cytotoxic NK cell expansion characterized responders, whereas regulatory T cell expansion and abundant baseline immunosuppressive myeloid cells characterized non-responders. These findings indicate that host immune cells play a critical role in ICV CAR T cell therapy for GBM, suggesting that combinatorial strategies modulating the endogenous immune compartment could improve next-generation treatments.
This dataset
Open GSE296419 in finder → Find more human RNA-seq datasets → Glioblastoma landscape →
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 GSE296419_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 PRJNA1258285. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
140 distinct titles, 3 of them repeated
CSF_P5D0_GEX ×2 CSF_P5D0_VDJ ×2 Tumor_FFPE_P1_Pre ×2

How we read this: Read from 143 sample titles: 140 distinct titles with little repetition. 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

+ 103 more — browse all 143 samples with per-sample file links →

More Glioblastoma datasets

Search all human RNA-seq datasets in GEO →

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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.