GEO series

Oxaliplatin induces cancer-like cachexia through distinct transcriptional pathways in mouse muscle and adipose depots

GSE285906 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2026/05/01 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 23 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: 23 samples: 23 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)

Cancer cachexia is a multifactorial, largely irreversible metabolic disorder characterized by skeletal muscle and adipose tissue depletion that is responsible for 20% of cancer-related deaths. Oxaliplatin, a platinum-based chemotherapeutic, is a common, first-line treatment for metastatic colorectal and other malignancies that result in cancer cachexia.

Read the full summary ↓

Yet, it is unknown whether oxaliplatin contributes to these effects independently of cancer. To reveal its role in cachexia development, we administered a chronic human-equivalent oxaliplatin dose to non-tumor-bearing C57BL/6 mice. Daily activity, muscle wasting, fat depletion, and metabolic parameters were monitored through metabolic cages and echo-MRI measurements followed by postmortem muscle and fat tissue histology and bulk RNA seq. Our results show that a high accumulative oxaliplatin dose of 80 mg/kg leads to cachexia-like symptoms, characterized by severe loss of body mass, decreased food intake, diminished ambulatory activity accompanied by lowered core body temperature, decreased skeletal muscle mass, and loss of adipose tissue. RNA-seq data from muscle and adipose tissues indicate a complex mechanism that is in part driven by inflammation and adipokine activity. Comparison of oxaliplatin treatment with external human and murine datasets in cancer and fasting settings illustrates that while oxaliplatin shares many differentially expressed genes with these conditions, it also induces unique gene differentiation. These results suggested oxaliplatin alone induces a cachexia phenotype and thus may aggravate cancer-induced cachexia, highlighting the importance of early diagnostic and therapeutic interventions that target cachexia from both cancer and chemotherapy.

This dataset

Open GSE285906 in finder → Find more mouse RNA-seq datasets →

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 GSE285906_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 PRJNA1206949 and SRA study SRP555453. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

23 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 23 sample titles: 23 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

GSM8712397 10mg_M1_muscle
GSM8712398 10mg_M2_muscle
GSM8712399 10mg_M3_muscle
GSM8712400 10mg_M4_muscle
GSM8712401 10mg_M5_muscle
GSM8712402 control_M1_Muscle
GSM8712403 control_M2_Muscle
GSM8712404 control_M3_Muscle
GSM8712405 control_M4_Muscle
GSM8712406 10mg_M2_fat
GSM8712407 10mg_M3_fat
GSM8712408 10mg_M4_fat
GSM8712409 10mg_M5_fat
GSM8712410 control_M1_fat
GSM8712411 control_M2_fat
GSM8712412 control_M4_fat
GSM8712413 10mg_M2_hypothalamus
GSM8712414 10mg_M3_hypothalamus
GSM8712415 10mg_M4_hypothalamus
GSM8712416 10mg_M5_hypothalamus
GSM8712417 control_M1_hypothalamus
GSM8712418 control_M2_hypothalamus
GSM8712419 control_M4_hypothalamus

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GSE272083 A molecular pathway for cancer cachexia-induced muscle atrophy revealed at single nucleus resolution [Bulk_RNAseq] 31 samples shares cachexia, muscle
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GSE292928 Semaglutide and bariatric surgery induce distinct changes in the composition of mouse white adipose tissue 14 samples shares distinct, adipose
GSE325158 Dietary supplementation with ursolic acid preserves skeletal muscle mass and strength in mouse models of cancer cachexia [RNA-seq] 12 samples shares cachexia, muscle
GSE275001 Methionine cycle dysregulation mediates REDD1 overexpression-induced muscle atrophy in cancer cachexia 12 samples shares cachexia, muscle

Search all mouse RNA-seq datasets in GEO →

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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.