← BioTransfer GEO Dataset Finder
GEO series

P2X7 receptor promotes non-small cell lung cancer progression through CCL8/CCR5-mediated activation of mTOR and ERK signaling

GSE311561 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/06/14 Platform GPL24676
Summary
This study aims to elucidate the role and mechanisms of the P2X7 receptor (P2X7R) in non-small cell lung cancer (NSCLC). By overexpressing or knocking down P2X7R in human A549 and H1703 cells, combined with interventions using BzATP, A438079, and the CCR5 inhibitor Mvc, we systematically evaluated changes in cell proliferation, apoptosis, migration, invasion, and EMT. Results demonstrated that P2X7R activation significantly promoted tumor cell proliferation, migration, and invasion, inhibited apoptosis, and induced EMT, whereas receptor knockdown produced opposite effects. mRNA sequencing and qPCR/ELISA data indicated that P2X7R upregulates CCL8 and its receptor CCR5, further activating ERK and mTOR signaling pathways. Cytoskeletal staining confirmed that P2X7R enhances F-actin remodeling capacity via the CCL8/CCR5 pathway. In tumor-bearing mouse models, P2X7R overexpression promoted tumor growth, whereas knockdown significantly inhibited tumor formation. Collectively, P2X7R drives NSCLC progression by activating the CCL8/CCR5 pathway and its downstream ERK and mTOR signaling, positioning it as a potential therapeutic target.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE311561_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 PRJNA1369872 and SRA study SRP649150. 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 human 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.