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Exercise Training Prior To and During Cancer in Mice Preserves Muscle Mass, Reduces Tumor Weight, and Suppresses Molecular Mediators of Cachexia

GSE324100 Mus musculus (mouse) RNA-seq (gene expression) 22 samples Submitted 2026/06/10 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 22 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
Mus musculus (mouse)
Samples
22 samples: 8 conditions, mostly in triplicateGroups 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
Exercise training prior to and during cancer in mice preserves muscle mass, reduces tumour weight and suppresses molecular mediators of cachexiaThe Journal of physiology · 2026
Summary (written by the submitters)
We investigated the prophylactic effects of exercise before and during cancer cachexia (CC) using a model designed to mimic endurance and resistance (i.e., concurrent) adaptations. Male and female Balb/c mice were randomly assigned to exercise or control groups whereby exercise groups were subjected to an 8-week voluntary progressive weighted wheel running (PoWeR) program of habitual loading-mediated physical activity beginning at 8 weeks of age.
Read the full summary ↓
At 16 weeks of age, mice were injected bilaterally with colon-26 adenocarcinoma (C26) cells or PBS, and exercise training was maintained throughout disease progression. Twenty-five days post-tumor induction, we assessed whole-body and muscle phenotype, muscle protein synthesis, a priori targeted gene expression, and transcriptomic adaptations via RNA sequencing. PoWeR training preserved skeletal muscle mass across nearly all muscle groups and maintained tumor-free body and cardiac mass. Muscle mass adaptations related to running volume; and running distance relative to controls was not appreciably reduced by tumor status. Tumor burden was reduced after ~11.5 weeks of PoWeR compared to sedentary, but this was not explanatory for muscle adaptations. PoWeR induced a faster-to-slower muscle fiber type transition in the gastrocnemius and suppressed key protein turnover markers (Redd1, Murf1, Atrogin, Ubc, Gadd45a) as well as the mitophagy-related marker Bnip3 in tumor-bearing muscle; 24h muscle protein synthesis remained stable. PoWeR counteracted tumor-induced impairments in the muscle mitochondrial- and metabolic-related transcriptome. Collectively, physical activity prior to and during cancer preserves muscle mass, reduces tumor growth, and mitigates molecular drivers of CC, underscoring its preventive and therapeutic potential as a lifestyle intervention.
Published in
Exercise training prior to and during cancer in mice preserves muscle mass, reduces tumour weight and suppresses molecular mediators of cachexia
Tsitkanou S, Koopmans PJ, Cabrera AR et al. · The Journal of physiology 2026 · PMID 42241015 · doi:10.1113/JP290740
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 GSE324100_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 PRJNA1433423 and SRA study SRP681691. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
MalePBSSED ×3 MalePBSPoWe ×3 FemalePBSSED ×3 FemalePBSPoWe ×3 FemaleC26SED ×3 FemaleC26PoWe ×3 MaleC26SED ×2 MaleC26PoWe ×2

Supports a between-group comparison across 22 samples.

How we read this: 8 replicated groups read from 22 sample titles; they account for 22 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
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