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Combinatorial therapy to target melanoma resistant to immune checkpoint blockade

GSE264375 Homo sapiens (human) RNA-seq (gene expression) 43 samples Submitted 2025/05/27 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 43 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
MelanomaThis series is part of our curated briefing on it.
Samples
43 samples: 15 × Untreated MM vs 13 × PD1-Resistant MMGroups 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)
Immune checkpoint blockade (ICB) has revolutionized melanoma therapy, but drug resistance represents a significant limitation. Here we utilize a platform incorporating transcriptomic profiling, high-throughput drug screening (HTDS) and murine models to demonstrate the pre-clinical efficacy of cobimetinib and regorafenib (termed Cobi+Reg) for ICB-resistant melanoma.
Read the full summary ↓
RNA-Sequencing (RNA-Seq) analysis of ICB-resistant melanomas demonstrated activation of several targetable pathways. HTDS targeting these pathways identified several effective combinations in ICB-resistant patient-derived xenograft (PDX) models. Cobi+Reg emerged as the most promising regimen, with efficacy against distinct molecular melanoma subtypes and following progression on ICB in immunocompetent models. RNA-Seq analysis of Cobi+Reg-treated tumors demonstrated upregulation of antigen presentation machinery, with concomitantly increased activated T cell infiltration. Combining Cobi+Reg with ICB was superior to either treatment in vivo. This analytical platform has identified several effective combinations, presenting Cobi+Reg as a rational therapeutic strategy either following resistance to or combined with ICB for advanced melanoma.
This dataset
Open GSE264375 in finder → Find more human RNA-seq datasets → Melanoma 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 GSE264375_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 PRJNA1102317 and SRA study SRP502818. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
15 × Untreated MM vs 13 × PD1-Resistant MM

Supports a between-group comparison across 28 samples.

How we read this: 2 replicated groups read from 43 sample titles; they account for 28 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

+ 3 more — browse all 43 samples with per-sample file links →

More Melanoma 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.