{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T14:15:25Z","timestamp":1775571325920,"version":"3.50.1"},"reference-count":47,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T00:00:00Z","timestamp":1697414400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Gene Medicine"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Uterine corpus endometrial carcinoma (UCEC) is a prevalent form of cancer in women, affecting the inner lining of the uterus. Inflammation plays a crucial role in the progression and prognosis of cancer, making it important to identify inflammatory response\u2010related subtypes in UCEC for targeted therapy and personalized medicine. This study discovered significant variation in immune response within UCEC tumors based on molecular subtypes of inflammatory response\u2010related genes. Subtype A showed a more favorable prognosis and better response to immunotherapies like anti\u2010CTLA4 and anti\u2010PDCD1 therapy. Functional analysis revealed subtype\u2010specific differences in immune response, with subtype A exhibiting higher expression of genes related to cytokine signaling pathways, NK cell\u2010mediated cytotoxicity pathways and inflammatory processes. Subtype A also showed increased sensitivity to three chemotherapeutic agents. A 12\u2010gene inflammatory response\u2010related signature was found to have prognostic value for 1, 2 and 3\u00a0year survival in UCEC patients. Additionally, a validated machine learning\u2010based signature demonstrated significant differences in clinical traits between low\u2010risk and high\u2010risk cohorts. Elevated risk scores were associated with higher pathological grading, older age, advanced stage and immune subtype C2. Low\u2010risk groups had higher infiltration of immune cell types such as CD8\u2009+\u2009T cells and activated CD4\u2009+\u2009cells. However, the abundance of cytotoxic immune cells decreased with increasing risk scores. Finally, PCR was applied to test the different expression in P2PX4. P2RX4 knockdown inhibited the proliferation and proliferation of the endometrial carcinoma Ishikawa cell line. In conclusion, this developed signature can serve as a clinical prediction index and reveal distinct immune expression patterns. Ultimately, this study has the potential to enhance targeted therapy and personalized medicine for UCEC patients.<\/jats:p>","DOI":"10.1002\/jgm.3603","type":"journal-article","created":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T01:55:56Z","timestamp":1697507756000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The inflammatory response\u2010related robust machine learning signature in endometrial cancer: Based on multi\u2010cohort studies"],"prefix":"10.1002","volume":"26","author":[{"given":"Chufan","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynaecology, Guangzhou Women and Children's Medical Center Guangzhou Medical University  Guangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pan","family":"Xiang","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Beijing Ditan Hospital Capital Medical University  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