<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE308nnn/GSE308260/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Mus musculus</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE308260</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Spatial transcriptomics for intrathoracic adhesion in mice</name><description>Intrathoracic adhesions (IAs) complicate thoracic surgery, causing risks such as bleeding, prolonged operative time, and postoperative air leakage. Severe adhesions (>10% pleura) often necessitate conversion from VATS to open thoracotomy due to dissection difficulties and pleural damage. Given the increasing role of lung segmentectomy and re-lobectomy for small or recurrent NSCLC, reoperations with IA are expected to rise, highlighting the need for effective IA prevention. This study aimed to establish such a murine IA model, evaluate pathological and gene expression changes, and identify targets to prevent lung–chest wall adhesions.</description><dates><publication>2026/04/09</publication></dates><accession>GSE308260</accession><cross_references><GSM>GSM9241214</GSM><GPL>28457</GPL><GSE>308260</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>