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Novel PET/CT Imaging Biomarkers of CB-839 in Combination With Panitumumab and Irinotecan in Patients With Metastatic and Refractory RAS Wildtype Colorectal Cancer

GSE274551 Homo sapiens (human) RNA-seq (gene expression) 35 samples Submitted 2025/01/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 35 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
35 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.
Paper
Results of the Phase I/II Study and Preliminary B-cell Gene Signature of Combined Inhibition of Glutamine Metabolism and EGFR in Colorectal CancerClinical cancer research : an official journal of the American Association for Cancer Research · 2025
Summary (written by the submitters)
In managing patients with rat sarcoma virus (RAS) wild-type (WT) metastatic colorectal cancer (mCRC), monoclonal antibodies against the epidermal growth factor receptor (EGFR) represent a key therapeutic strategy. However, their limited ongoing effectiveness in this setting underscores the importance of elucidating other factors that affect response, including underlying immunological and metabolic repertoires.
Read the full summary ↓
An emerging therapeutic target, glutamine metabolism is crucial for cancer cell growth; symbiotically, tumor glutamine demand relative to the microenvironment disadvantages potential anti-tumor immunity. We conducted a phase I/II clinical trial in patients with RAS WT mCRC combining panitumumab, an EGFR inhibitor, and CB-839, a glutaminase inhibitor, hypothesizing that antagonizing glutamine-centric tri-carboxylic acid (TCA) cycle metabolism and mitogen-activated pathway kinase (MAPK)-mediated growth would favor response in well-selected patients. Here, we demonstrate that a novel B cell activation signature, ‘Bscore’ was associated with clinical benefit from combined therapy in patients who previously progressed on anti-EGFR therapy. Patient ‘Bscore’ was positively associated with treatment-induced change in lesion size. Furthermore, patients with lower ‘Bscore’ tended to exhibit greater tumor avidity of glutamine by non-invasive positron emission tomography (PET), suggesting the sensitivity of B cell activation to a glutamine-depleted microenvironment and highlighting future opportunities to enhance immune response in the treatment of mCRC and potentially other glutaminolysis-dependent solid tumors.
Published in
Results of the Phase I/II Study and Preliminary B-cell Gene Signature of Combined Inhibition of Glutamine Metabolism and EGFR in Colorectal Cancer
Ciombor KK, Bae SW, Whisenant JG et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2025 · PMID 39927885 · doi:10.1158/1078-0432.CCR-24-3133
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 GSE274551_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 PRJNA1147199 and SRA study SRP525815. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 35 more — browse all 35 samples with per-sample file links →

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