{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["34(1)"],"submitter":["Gui K"],"pubmed_abstract":["<h4>Objectives</h4>The mechanism by which specific tumor subsets in colorectal cancer (CRC) use alternative metabolic pathways, particularly those modulated by hypoxia and fructose, to alter the tumor microenvironment (TME) remains unclear. This study aimed to identify these malignant subpopulations and characterize their intercellular signaling networks and spatial organization through an integrative multi-omics approach.<h4>Methods</h4>Leveraging bulk datasets, single-cell RNA sequencing, and integrative spatial transcriptomics, we developed a prognostic model based on hypoxia-and fructose metabolism-related genes (HFGs) to delineate tumor cell subpopulations and their intercellular signaling networks.<h4>Results</h4>We identified a specific subset of stanniocalcin-2 positive (STC2+) mal"],"journal":["Oncology research"],"pagination":["24"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12774564"],"repository":["biostudies-literature"],"pubmed_title":["STC2+ Malignant Cell State Associated with EMT, Tumor Microenvironment Remodeling, and Poor Prognosis Revealed by Single-Cell and Spatial Transcriptomics in Colorectal Cancer."],"pmcid":["PMC12774564"],"pubmed_authors":["Li W","Tang M","He Z","Gui K","Xiong C","Yang T","Wang Y"],"additional_accession":[]},"is_claimable":false,"name":"STC2+ Malignant Cell State Associated with EMT, Tumor Microenvironment Remodeling, and Poor Prognosis Revealed by Single-Cell and Spatial Transcriptomics in Colorectal Cancer.","description":"<h4>Objectives</h4>The mechanism by which specific tumor subsets in colorectal cancer (CRC) use alternative metabolic pathways, particularly those modulated by hypoxia and fructose, to alter the tumor microenvironment (TME) remains unclear. This study aimed to identify these malignant subpopulations and characterize their intercellular signaling networks and spatial organization through an integrative multi-omics approach.<h4>Methods</h4>Leveraging bulk datasets, single-cell RNA sequencing, and integrative spatial transcriptomics, we developed a prognostic model based on hypoxia-and fructose metabolism-related genes (HFGs) to delineate tumor cell subpopulations and their intercellular signaling networks.<h4>Results</h4>We identified a specific subset of stanniocalcin-2 positive (STC2+) mal","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-07-15T13:53:26.281Z","creation":"2026-07-05T03:11:46.362Z"},"accession":"S-EPMC12774564","cross_references":{"pubmed":["41502509"],"doi":["10.32604/or.2025.070143"]}}