<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/GSE311nnn/GSE311549/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE311549</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>RNA sequencing for gastric-type endocervical adenocarcinoma (GAS), usual-type endocervical adenocarcinoma (UEA), and lobular endocervical glandular hyperplasia (LEGH)</name><description>Cervical cancer is the fourth most common malignancy among women worldwide. While the majority of cases are human papillomavirus (HPV)-associated squamous cell carcinomas, a subset consists of adenocarcinomas. Uterine cervical adenocarcinoma is further classified into gastric-type adenocarcinoma (GAS), usual-type endocervical adenocarcinoma (UEA), and other subtypes. Lobular endocervical glandular hyperplasia (LEGH), a non-neoplastic glandular lesion, has been proposed as a potential precursor of GAS. In this study, we investigated the gene expression profiles of GAS, UEA, and LEGH using RNA sequencing.</description><dates><publication>2026/07/24</publication></dates><accession>GSE311549</accession><cross_references><GSM>GSM9326888</GSM><GSM>GSM9326887</GSM><GSM>GSM9326879</GSM><GSM>GSM9326889</GSM><GSM>GSM9326895</GSM><GSM>GSM9326884</GSM><GSM>GSM9326883</GSM><GSM>GSM9326894</GSM><GSM>GSM9326886</GSM><GSM>GSM9326885</GSM><GSM>GSM9326896</GSM><GSM>GSM9326880</GSM><GSM>GSM9326891</GSM><GSM>GSM9326890</GSM><GSM>GSM9326893</GSM><GSM>GSM9326882</GSM><GSM>GSM9326892</GSM><GSM>GSM9326881</GSM><GPL>34284</GPL><GSE>311549</GSE><taxon>Homo sapiens</taxon><PMID>[42361625]</PMID></cross_references></HashMap>