← BioTransfer GEO Dataset Finder
GEO series

Age-dependent differences in the tumor microenvironment of preclinical models of triple-negative breast cancer: challenges and opportunities for efficacy studies.

GSE252968 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/01/27 Platform GPL24247
Summary
The immune system orchestra suffer a deficit of function during aging, and the incidence of most cancer types is significantly increased in elderly humans. Although breast cancer (BC) can occur in young women, it is way more common in middle-age and elderly women. There is evidence that a tonic immune system is pivotal for the success of therapies aimed at awakening a dormant or exhausted immunological response against cancer cells by mean of checkpoint inhibitors (CI). However, current cancer models in rodents use very young mice of a few weeks of age, which have a fully functional and tonic immune system and thymus, and thus might be poorly representative of adult human cancer patients. We have recently reported that that a triple therapy (TT) involving antigen-presenting cell activation by vinca alkaloids and the generation of new TCF1+ stem cell-like T cell (scT) clones by an alkylating agent can significantly improve the efficacy of the CI anti-PD-1 in models of cancer known to be otherwise CI-resistant such as TNBC and lymphoma (PMIDs: 33268528, 37048617). TT effect was due to T cells, as it was abrogated by their in vivo depletion. In the present study we investigated differences in TNBC growth kinetics, TT preclinical activity and tumor microenvironment (TME, including intratumoral immune and stroma cells) in young (6-8w, representative of a 6y old human) versus adult (12m, representative of 40y humans) mice. Models included 4T1 and EMT6 TNBC cells, the former generating a mostly lymphoid TME and the latter generating a mostly myeloid TME (PMID: 33268528). In both models, TT efficacy was similar in young and in adult mice, as the treatment abrogated TNBC local and metastatic growth. CD8+ (but not CD4+) scTs, likely crucial players in TT efficacy, were only slightly reduced in adult mice despite age-related thymus involution. This notwithstanding, single-cell transcriptomics, IHC and flow cytometry analyses of immune (CD45+EPCAM-) and stroma (CD45-EPCAM-) cell populations indicated major differences in the TME of young vs adult mice. Adults had significantly less CD4+ scTs, B naïve and NK cells and significantly increased memory B cells. Cancer-associated fibroblasts with a matrix deposition signature (matrix CAF) were skewed in young, while pro-inflammatory stromal populations and myofibroblasts were skewed in adults. Matrix CAFs down regulated a signature involved in different ECM-remodeling abilities, and up regulated metabolic and hypoxic pathways. Expression of genes encoding for glycoproteins, basement membrane components, and collagens were also upregulated. Our data indicate profound differences between young and adult mice TMEs that should be taken into consideration when selecting the age of orthotopic immune competent mice to be used in preclinical efficacy studies.
Published in
Age-dependent differences in breast tumor microenvironment: challenges and opportunities for efficacy studies in preclinical models
Falvo P, Gruener S, Orecchioni S et al. · Cell death and differentiation 2025 · PMID 39870804 · doi:10.1038/s41418-025-01447-1
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE252968_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 PRJNA1063350 and SRA study SRP482998. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.