← BioTransfer GEO Dataset Finder
GEO series

Patient tumor bulk RNA-seq analysis of the pre-axi-cel treatment tumor microenvironment in large B cell lymphoma

GSE338087 Homo sapiens (human) RNA-seq (gene expression) 19 samples Submitted 2026/07/09 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 19 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
19 samples: 11 × EXP1365RNA vs 8 × EXP1132RNAGroups 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)
We examined the tumor immune infiltrate and its relationship with clinical outcomes in patients with LBCL receiving Axicabtagene ciloleChimeric antigen receptor (CAR) T cell therapies have revolutionized B cell malignancy treatment, but many patients with large B cell lymphoma (LBCL) experience primary resistance or relapse. To uncover resistance mechanisms, we examined pre-infusion tumor biopsies and observed that increased immunoregulatory macrophages correlate with poor clinical responses.
Read the full summary ↓
In murine models, CAR T cell-produced interferon-gamma (IFN-) upregulates inducible nitric oxide synthase (iNOS, NOS2) in immunoregulatory macrophages, impairing CAR T cell function. Proteomic profiling revealed that iNOS-expressing macrophages promote apoptosis and cell cycle arrest while downregulating protein synthesis machinery in CAR T cells. Metabolically, CAR T cells exhibit reduced glycolytic intermediates and altered tricarboxylic acid (TCA) cycle activity. Pharmacological inhibition of iNOS enhances CAR T cell treatment efficacy in vivo. Notably, elevated levels of iNOS+CD14+ monocytes in leukaphereses are associated with non-durable responses to CAR T cells. Targeting iNOS in immunoregulatory macrophages, potentially by modulating CAR T-produced IFN-, could improve LBCL outcomes.
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 GSE338087_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 PRJNA1492481 and SRA study SRP716573. Searching any of these in the dataset finder brings you back here.

Study design
11 × EXP1365RNA vs 8 × EXP1132RNA

Supports a between-group comparison across 19 samples.

How we read this: 2 replicated groups read from 19 sample titles; they account for 19 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

Search all human RNA-seq datasets in GEO →

Share this dataset

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.