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Determinants of early-onset cachexia in transgenic mouse model of pancreatic cancer

GSE214497 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/08/13 Platform GPL30172
Summary
Since the lack of understanding of signaling mechanisms in cancer cachexia progress, the exact time point of cachexia onset remains unpredictable. To determine the molecular phenotypes of single cells at the utmost approximated timepoint of cachexia onset, we hypothesized that the tumor microenvironment and circulating blood cells could serve as biomarkers of cachexia-onset to map out the determinants of muscle wasting in a mouse model of cancer cachexia. Depending on individual tumors, subcutaneous syngeneic implantation of xenografts derived from the transgenic KrasG12D/+;Trp53flox/flox;Pdx1-Cre mouse model of pancreatic cancer-induced early-onset cachexia (EOCX) and Pre-cachexia (PreCX) in individual recipient mice. To characterize the dominants of cachexia-onset, immediate fresh collection of samples and processing for single-cell RNA sequencing, allowed the analysis of gene expression in the subcutaneous xenografted tumors and the peripheral blood mononuclear cells (PBMC) at the single-cell level. Our dataset classified high-quality cells-- 29,885 PBMCs and 24,925 subcutaneous tumor cells into subtypes. By dissecting the differentially expressed markers genes of EOCX versus the PreCX, these markers may represent the determinants of cachexia in multiple cell types in circulating PBMCs and in tumors at the single-cell resolution.
Published in
Macrophage activation determines muscle wasting in pancreatic cancer
Chang CJ, Huang PH, Chen SY et al. · Oncogene 2025 · PMID 40442475 · doi:10.1038/s41388-025-03434-9
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Direct links to NCBI, no account and no request form: the whole study as GSE214497_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA885622 and SRA study SRP400381. Searching any of these in the dataset finder brings you back here.

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