{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15"],"submitter":["Yuan Y"],"pubmed_abstract":["<h4>Background</h4>As a type of autophagy, aggrephagy degrades the aggregation of misfolded protein in cells and plays an important role in key genetic events for various cancers. However, aggrephagy functions within the tumor microenvironment (TME) in endometrial cancer (EC) remain to be elucidated.<h4>Methods</h4>A total of 36,227 single cells from single-cell RNA-seq data derived from five EC tumor samples were comprehensively analyzed using a nonnegative matrix factorization (NMF) algorithm for 44 aggrephagy-related genes. Bulk RNA-seq cohorts from public repositories were utilized to assess the prognostic value of aggrephagy-related TME clusters and predict immune checkpoint blockade immunotherapeutic response in EC.<h4>Results</h4>Fibroblasts, macrophages, CD8+T cells, and lymphatic "],"journal":["Frontiers in oncology"],"pagination":["1560625"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11975906"],"repository":["biostudies-literature"],"pubmed_title":["Single-cell sequencing reveals the role of aggrephagy-related patterns in tumor microenvironment, prognosis and immunotherapy in endometrial cancer."],"pmcid":["PMC11975906"],"pubmed_authors":["Li G","Huang Y","Zhao C","Huang J","Zhu K","Shu J","Liu B","Ren C","Yuan Y"],"additional_accession":[]},"is_claimable":false,"name":"Single-cell sequencing reveals the role of aggrephagy-related patterns in tumor microenvironment, prognosis and immunotherapy in endometrial cancer.","description":"<h4>Background</h4>As a type of autophagy, aggrephagy degrades the aggregation of misfolded protein in cells and plays an important role in key genetic events for various cancers. However, aggrephagy functions within the tumor microenvironment (TME) in endometrial cancer (EC) remain to be elucidated.<h4>Methods</h4>A total of 36,227 single cells from single-cell RNA-seq data derived from five EC tumor samples were comprehensively analyzed using a nonnegative matrix factorization (NMF) algorithm for 44 aggrephagy-related genes. Bulk RNA-seq cohorts from public repositories were utilized to assess the prognostic value of aggrephagy-related TME clusters and predict immune checkpoint blockade immunotherapeutic response in EC.<h4>Results</h4>Fibroblasts, macrophages, CD8+T cells, and lymphatic ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-02T07:57:20.57Z","creation":"2026-04-16T03:11:25.094Z"},"accession":"S-EPMC11975906","cross_references":{"pubmed":["40201347"],"doi":["10.3389/fonc.2025.1560625"]}}