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Transcriptomic analysis of therapy-naïve and alectinib-treated H3122 xenograft tumors from NSG and humanized HGF-NSG mice

GSE296572 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2026/04/03 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 22 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
22 samples: 6 conditions, mostly with about 4 replicates eachGroups 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
Multifactorial sheltering in peristromal niches shapes in vivo responses of lung cancers to targeted therapiesNature communications · 2026
Summary (written by the submitters)
To uncover the identity of the HGF-independent stromal-mediated resistance mechanism(s), we performed transcriptomic analyses of treatment-naïve and alectinib-treated H3122 xenograft tumors from NSG and humanized HGF-NSG (hHGF-NSG) mice. Xenograft tumors of H3122 cell model were used to perform bulk-RNA sequencing. Reads were mapped to both human and murine genomes, enabling simultaneous assessment of the tumor and stromal compartments.
Read the full summary ↓
Our transcriptional analyses revealed the emergence of the HGF-dependent differences only after six weeks of alectinib treatment. Pathway enrichment analyses revealed marked changes in multiple pathways associated with extracellular matrix (ECM). Altogether, the transcriptomic analysis supported the potential involvement of tumor cell-ECM interactions in HGF-independent mediation of stromal-mediated resistance to alectinib.
Published in
Multifactorial sheltering in peristromal niches shapes in vivo responses of lung cancers to targeted therapies
Desai B, Miti T, Prabhakaran S et al. · Nature communications 2026 · PMID 42215447 · doi:10.1038/s41467-026-73454-w
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 GSE296572_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 PRJNA1259995 and SRA study SRP583645. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 4 replicates each
NSG, Therapy naïve, ×4 NSG, alectinib treated, two weeks, ×4 NSG, alectinib treated, six weeks, ×4 hHGF-NSG, alectinib treated, two weeks, ×4 hHGF-NSG, Therapy naïve, ×3 hHGF-NSG, alectinib treated, six weeks, ×3

Supports a between-group comparison across 22 samples.

How we read this: 6 replicated groups read from 22 sample titles; they account for 22 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
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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.