<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang Z</submitter><funding>National Scientific Foundation of China</funding><funding>Natural Science Foundation of Shandong Province of China</funding><funding>Youth Innovation Science and Technology Program of Shandong Provincial Universities</funding><funding>National Key Research and Development Program of China</funding><funding>Taishan Scholars Program of Shandong Province</funding><pagination>6200</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10940668</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(1)</volume><pubmed_abstract>Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive types of squamous cell carcinoma and represents a significant proportion of esophageal cancer. Metabolic reprogramming plays a key role in the occurrence and development of ESCC. Unsupervised clustering analysis was employed to stratify ESCC samples into three clusters: MPC1-lipid type, MPC2-amino acid type, and MPC3-energy type, based on the enrichment scores of metabolic pathways extracted from the Reactome database. The MPC3 cluster exhibited characteristics of energy metabolism, with heightened glycolysis, cofactors, and nucleotide metabolism, showing a trend toward increased aggressiveness and poorer survival rates. On the other hand, MPC1 and MPC2 primarily involved lipid and amino acid metabolism, respectively. </pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Genetic and molecular characterization of metabolic pathway-based clusters in esophageal squamous cell carcinoma.</pubmed_title><pmcid>PMC10940668</pmcid><funding_grant_id>2022KJ187</funding_grant_id><funding_grant_id>82102702</funding_grant_id><funding_grant_id>82103322</funding_grant_id><funding_grant_id>81973116</funding_grant_id><funding_grant_id>ZR2021QH141</funding_grant_id><funding_grant_id>2021YFF1201101</funding_grant_id><funding_grant_id>82173591</funding_grant_id><funding_grant_id>tstp20230654</funding_grant_id><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Fang Y</pubmed_authors><pubmed_authors>Lu M</pubmed_authors><pubmed_authors>Zhang T</pubmed_authors><pubmed_authors>Li Z</pubmed_authors><pubmed_authors>Chong W</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Zhong Y</pubmed_authors><pubmed_authors>Chen H</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genetic and molecular characterization of metabolic pathway-based clusters in esophageal squamous cell carcinoma.</name><description>Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive types of squamous cell carcinoma and represents a significant proportion of esophageal cancer. Metabolic reprogramming plays a key role in the occurrence and development of ESCC. Unsupervised clustering analysis was employed to stratify ESCC samples into three clusters: MPC1-lipid type, MPC2-amino acid type, and MPC3-energy type, based on the enrichment scores of metabolic pathways extracted from the Reactome database. The MPC3 cluster exhibited characteristics of energy metabolism, with heightened glycolysis, cofactors, and nucleotide metabolism, showing a trend toward increased aggressiveness and poorer survival rates. On the other hand, MPC1 and MPC2 primarily involved lipid and amino acid metabolism, respectively. </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-07-15T07:58:38.204Z</modification><creation>2026-07-01T03:12:02.104Z</creation></dates><accession>S-EPMC10940668</accession><cross_references><pubmed>38486026</pubmed><doi>10.1038/s41598-024-56391-w</doi></cross_references></HashMap>