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Phase I/II trial of encorafenib, cetuximab, and nivolumab in microsatellite stable, BRAFV600E metastatic colorectal cancer [dataset 1]

GSE302921 Homo sapiens (human) RNA-seq (gene expression) 50 samples Submitted 2025/07/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 50 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
Colorectal cancerThis series is part of our curated briefing on it.
Samples
50 samples: 50 samples, each with a distinct title — no replicated groupsGroups 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)
The BRAF inhibitor encorafenib and anti-EGFR antibody cetuximab modestly improve survival for patients with microsatellite stable (MSS) BRAFV600E metastatic colorectal cancer (mCRC), characterized by higher immune activation than MSS BRAFwild-type CRC. In this phase I/II study (NCT04017650) of 26 participants with MSS BRAFV600E mCRC who received encorafenib, cetuximab, and anti-PD-1 antibody nivolumab, we report an overall response rate of 50% (95% confidence interval (CI) 29-71) and median progression-free survival of 7.4 months (95% CI, 5.6-9.6).
Read the full summary ↓
Transcriptomic profiling of pretreatment biopsies and extracellular vesicle RNA (evRNA) isolated from plasma show enrichment of non-canonical MAP kinase signaling and immune activation signatures for responders. Complement pathway activation enriches in non-responder biopsies. On serial evRNA profiling, decreased MAPK signature and increased interferon gamma response signature associate with sustained treatment benefit. MSS BRAFV600E mCRC with baseline MAP kinase activation and immune activation signatures may benefit from the triple combination but not with complement pathway activation.
This dataset
Open GSE302921 in finder → Find more human RNA-seq datasets → Colorectal cancer 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 GSE302921_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 PRJNA1292835 and SRA study SRP601591. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
50 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 50 sample titles: 50 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

+ 10 more — browse all 50 samples with per-sample file links →

More Colorectal cancer datasets

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.