{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T19:40:12Z","timestamp":1792352412057,"version":"4.4.0"},"reference-count":13,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T00:00:00Z","timestamp":1792281600000},"content-version":"vor","delay-in-days":290,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Genomics"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Endometrial cancer (EC) has a heterogeneous immune microenvironment, and response\u2010associated biology remains incompletely characterized. We used the retained EC single\u2010cell dataset to describe immune\u2010cell states and complemented it with TCGA\u2010UCEC, independent gut microbiome cohorts, and RL95\u20102 proof\u2010of\u2010concept experiments. All responder versus nonresponder scRNA\u2010seq comparisons are descriptive and hypothesis generating because only one sample was available per clinical response group.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Single\u2010cell RNA sequencing (scRNA\u2010seq) data from EC patients undergoing anti\u2013PD\u20101 immunotherapy (GEO: GSE251923; one responder, GSM7990051, and one nonresponder, GSM7990052; 17,546 cells retained after quality control) were analyzed using Scanpy, Leiden clustering, and over\u2010representation analysis with GO biological process, KEGG, and MSigDB Hallmark gene sets using Enrichr with Benjamini\u2013Hochberg correction. Bulk RNA\u2010seq from TCGA\u2010UCEC (554 tumor and 35 normal samples) was used for complementary transcriptomic analysis. Gut microbiome 16S rRNA datasets (SRA: PRJNA897842 and PRJNA833670) were analyzed as independent cohorts, and RL95\u20102 qRT\u2010PCR experiments were interpreted as proof\u2010of\u2010concept.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Ten major cell populations were identified in the EC immune microenvironment. In this single responder\/nonresponder sample pair, the nonresponder sample showed patterns consistent with higher M2\u2010associated macrophage marker expression, increased T\u2010cell checkpoint\/exhaustion marker expression, and lower cytotoxic activity scores. These observations are descriptive and cannot establish patient\u2010level significance. TCGA\u2010UCEC analyses and the independent microbiome and RL95\u20102 experiments provide complementary, hypothesis\u2010generating evidence; no unverified classifier\u2010performance estimate is reported.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study provides a hypothesis\u2010generating description of immune patterns in one EC responder and one nonresponder sample, complemented by TCGA\u2010UCEC, independent microbiome datasets, and RL95\u20102 proof\u2010of\u2010concept experiments. The findings nominate candidate immune, hormonal, and microbiome\u2010associated pathways for further investigation but do not establish patient\u2010level response differences, causality, or clinically validated biomarkers.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/ijog\/5125648","type":"journal-article","created":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T19:09:47Z","timestamp":1792350587000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hypothesis\u2010Generating Single\u2010Cell Analysis of the Endometrial Cancer Immune Microenvironment With Complementary Multiomics Evidence"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1814-7288","authenticated-orcid":false,"given":"Xiaolan","family":"Ouyang","sequence":"first","affiliation":[{"name":"Chengdu Women\u2032s and Children\u2032s Central Hospital School of Medicine University of Electronic 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uestc.edu.cn"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,18]]},"reference":[{"key":"e_1_2_13_1_2","doi-asserted-by":"publisher","DOI":"10.1038\/nri.2017.64"},{"key":"e_1_2_13_2_2","doi-asserted-by":"publisher","DOI":"10.1172\/JCI68107"},{"key":"e_1_2_13_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-018-0698-6"},{"key":"e_1_2_13_4_2","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2015.00321"},{"key":"e_1_2_13_5_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0897.2010.00852.x"},{"key":"e_1_2_13_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cytogfr.2007.10.004"},{"key":"e_1_2_13_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.molcel.2017.01.023"},{"key":"e_1_2_13_8_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41588-021-00972-2"},{"key":"e_1_2_13_9_2","doi-asserted-by":"publisher","DOI":"10.1038\/359076a0"},{"key":"e_1_2_13_10_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1322269111"},{"key":"e_1_2_13_11_2","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2020.594150"},{"key":"e_1_2_13_12_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-25960-2"},{"key":"e_1_2_13_13_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-19894-4"}],"container-title":["International 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