Tumor immunogenomic features determine outcomes in metastatic colorectal cancer patients treated with standard-of-care combinations of bevacizumab and cetuximab
RNA-seq (gene expression) · human · 579 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
- 579 samples
- 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.
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 GSE196576_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 PRJNA805525 and SRA study SRP359396. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 579 more — browse all 579 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 · shares metastatic
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing
- GSE275628 TAS-102, Irinotecan, and Bevacizumab in Pre-treated Metastatic Colorectal Cancer (TABAsCO), A Phase II Clinical Trial. ClinicalTrials.gov NCT04109924 34 samples shares bevacizumab, metastatic, colorectal
- GSE273769 The PLK1 Inhibitor Onvansertib in Combination with FOLFIRI and Bevacizumab in Second-line Treatment of KRAS-mutant Metastatic Colorectal Cancer: A Single-Arm, Phase II Trial. 24 samples shares bevacizumab, metastatic, colorectal
- GSE307398 Phase II Study of Pembrolizumab Plus Capecitabine and Bevacizumab for Microsatellite Stable/Mismatch Repair-Proficient Metastatic Colorectal Cancer 12 samples shares bevacizumab, metastatic, colorectal
- GSE307937 PKM2 lactylation promotes colorectal cancer vasculogenic mimicry and resistance to bevacizumab treatment by facilitating FOSL1 super-enhancer formation [RNA-Seq] 6 samples shares bevacizumab, colorectal
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.