<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>26(24)</volume><submitter>Chang WH</submitter><pubmed_abstract>Hepatocellular carcinoma (HCC) and pancreatic ductal adenocarcinoma (PDAC) are highly lethal cancers marked by profound epigenetic and metabolic reprogramming. Among the candidate biomarkers, the DNA methyltransferase DNMT3A and the guanine monophosphate synthetase (GMPS) have emerged as potential prognostic drivers, yet their roles across tumor contexts remain unclear. Here, we demonstrate the application of KMplotter to interrogated pan-cancer transcriptomic and survival datasets encompassing over 7000 patients, complemented by expression profiling of normal, tumor, and metastatic tissues, and integrated tumor microenvironment (TME) analyses. Elevated DNMT3A and GMPS expression correlated with worse overall survival in HCC, particularly in Asian patients, while in PDAC, high DNMT3A but l</pubmed_abstract><journal>International journal of molecular sciences</journal><pagination>11920</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12732809</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Comparative Tumor Microenvironment Analysis for HCC and PDAC Using KMplotter.</pubmed_title><pmcid>PMC12732809</pmcid><pubmed_authors>Myers S</pubmed_authors><pubmed_authors>Potts M</pubmed_authors><pubmed_authors>Chang WH</pubmed_authors><pubmed_authors>Shah D</pubmed_authors><pubmed_authors>Qazi S</pubmed_authors><pubmed_authors>Trieu V</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comparative Tumor Microenvironment Analysis for HCC and PDAC Using KMplotter.</name><description>Hepatocellular carcinoma (HCC) and pancreatic ductal adenocarcinoma (PDAC) are highly lethal cancers marked by profound epigenetic and metabolic reprogramming. Among the candidate biomarkers, the DNA methyltransferase DNMT3A and the guanine monophosphate synthetase (GMPS) have emerged as potential prognostic drivers, yet their roles across tumor contexts remain unclear. Here, we demonstrate the application of KMplotter to interrogated pan-cancer transcriptomic and survival datasets encompassing over 7000 patients, complemented by expression profiling of normal, tumor, and metastatic tissues, and integrated tumor microenvironment (TME) analyses. Elevated DNMT3A and GMPS expression correlated with worse overall survival in HCC, particularly in Asian patients, while in PDAC, high DNMT3A but l</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-05-27T12:12:54.968Z</modification><creation>2026-05-27T03:12:30.825Z</creation></dates><accession>S-EPMC12732809</accession><cross_references><pubmed>41465346</pubmed><doi>10.3390/ijms262411920</doi></cross_references></HashMap>