Gene expression profiling of neoadjuvant ABFOLFOX treatment in patients with unresectable colorectal cancer with liver metastases
RNA-seq (gene expression) · human · 104 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
- 104 samples: 104 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.
- Paper
- Dynamics of tumor ecosystems and microbiome in response to neoadjuvant ABFOLFOX treatment in patients with unresectable colorectal cancer with liver metastasisGenome medicine · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE330465_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1464435. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 104 sample titles: 104 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.
- GSM9727094 X11680058C
- GSM9727095 X11680059C
- GSM9727096 X11680060C
- GSM9727097 X11680001C
- GSM9727098 X11680002C
- GSM9727099 X11680003C
- GSM9727100 X11680004C
- GSM9727101 X11680005C
- GSM9727102 X11680006C
- GSM9727103 X11680007C
- GSM9727104 X11680008C
- GSM9727105 X11680009C
- GSM9727106 X11680011C
- GSM9727107 X11680012C
- GSM9727108 X11680013C
- GSM9727109 X11680014C
- GSM9727110 X11680016C
- GSM9727111 X11680017C
- GSM9727112 X11680018C
- GSM9727113 X11680020C
- GSM9727114 X11680021C
- GSM9727115 X11680022C
- GSM9727116 X11680023C
- GSM9727117 X11680024C
- GSM9727118 X11680025C
- GSM9727119 X11680026C
- GSM9727120 X11680027C
- GSM9727121 X11680028C
- GSM9727122 X11680029C
- GSM9727123 X11680031C
- GSM9727124 X11680032C
- GSM9727125 X11680033C
- GSM9727126 X11680034C
- GSM9727127 X11680035C
- GSM9727128 X11680036C
- GSM9727129 X11680037C
- GSM9727130 X11680038C
- GSM9727131 X11680039C
- GSM9727132 X11680040C
- GSM9727133 X11680041C
+ 64 more — browse all 104 samples with per-sample file links →
- GSE250000 Bulk RNA-sequencing of transduced colorectal cancer cell line HCT-116 and breast cancer cell line MCF-7 overexpressing full-lenght p53β or p53β-stop-lost. 4 samples same disease briefing · shares colorectal
- GSE12032 Inherent gene signature of stage II and III colorectal cancer leads in individual recurrence 198 samples same disease briefing · shares colorectal
- GSE110009 Single cell transcriptome landscape of primary and metastatic tumor in colon cancer 76 samples same disease briefing
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing
- GSE315534 Single-cell RNA sequencing of primary colorectal cancer, matched adjacent normal tissues, and paired liver metastases 15 samples shares colorectal, metastases, liver
- GSE294934 Epigenomic analysis of organoids from colorectal cancer peritoneal and liver metastases uncovers a mechanism of resistance to doxorubicin 15 samples shares colorectal, metastases, liver
- GSE310664 Analysis of experimental colorectal liver metastases identifies distinct proliferation independent transcriptional programs in micro- versus macrometastases 22 samples shares colorectal, metastases, liver
- GSE180948 RNA-Seq based transcriptome analysis of colorectal cancer cells in response to lactate treatment 12 samples shares colorectal, treatment
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.