← BioTransfer GEO Dataset Finder
GEO series

Respiratory viral infections prime accelerated lung cancer growth [scRNA-Seq]

GSE317576 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2026/01/27 Platform GPL28457
Summary
The COVID-19 pandemic has highlighted long-term health consequences of viral pneumonia, yet its impact on cancer development and progression remains poorly understood. Here, we show that prior SARS-CoV-2 or influenza infection accelerates lung tumor progression by reprogramming the local immune landscape. To define mechanisms underlying infection-induced tumor promotion, we performed single-cell RNA-seq on whole-lung cells from KP mice at 6 weeks (PBS_T6, IAV_T6) and 12 weeks (PBS_T12, IAV_T12) after tumor induction, along with tumor-free PBS and IAV controls (time matched to T6). Across conditions, scRNA-seq revealed that prior viral pneumonia programs a pro-tumor lung microenvironment marked by increased pro-tumor myeloid programs and diminished anti-tumor CD8+ T cell immunity. Notably, we identified a dominant SiglecF^hi tumor-associated neutrophil subset enriched in infected tumors that exhibits hypoxia/glycolysis- and immunosuppression-associated transcriptional programs and shows the strongest predicted interactions with progenitor and tumor epithelial populations.
Published in
Respiratory viral infections prime accelerated lung cancer growth
Qian W, Wei X, Barros AJ et al. · Cell 2026 · PMID 41819102 · doi:10.1016/j.cell.2026.02.013
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE317576_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1414502 and SRA study SRP666479. 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.

+ 6 more — browse all 6 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.