{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T03:07:17Z","timestamp":1793848037994,"version":"4.6.1"},"reference-count":70,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T00:00:00Z","timestamp":1716940800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2023M743009"],"award-info":[{"award-number":["2023M743009"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Exosomes play a crucial role in intercellular communication in clear cell renal cell carcinoma (ccRCC), while the long non\u2010coding RNAs (lncRNAs) are implicated in tumorigenesis and progression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aims<\/jats:title><jats:p>The purpose of this study is to construction a exosomes\u2010related lncRNA score and a ceRNA network to predict the response to immunotherapy and potential targeted drug in ccRCC.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data of ccRCC patients were obtained from the TCGA database. Pearson correlation analysis was used to identify eExosomes\u2010related lncRNAs (ERLRs) from Top10 exosomes\u2010related genes that have been screened. The entire cohort was randomly divided into a training cohort and a validation cohort in equal scale. LASSO regression and multivariate cox regression was used to construct the ERLRs\u2010based score. Differences in clinicopathological characteristics, immune microenvironment, immune checkpoints, and drug susceptibility between the high\u2010 and low\u2010risk groups were also investigated. Finally, the relevant ceRNA network was constructed by machine learning to analyze their potential targets in immunotherapy and drug use of ccRCC patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A score consisting of 4ERLRs was identified, and patients with higher ERLRs\u2010based score tended to have a worse prognosis than those with lower ERLRs\u2010based score. ROC curves and multivariate Cox regression analysis demonstrated that the score could be considered as a risk factor for prognosis in both training and validation cohorts. Moreover, patients with high scores are predisposed to experience poor overall survival, a larger prevalence of advanced stage (III\u2010IV), a greater tumor mutational burden, a higher infiltration of immunosuppressive cells, and a greater likelihood of responding favorably to immunotherapy. The importance of EMX2OS was determined by mechanical learning, and the ceRNA network was constructed, and EMX2OS may be a potential therapeutic target, possibly exerting its function through the EMX2OS\/hsa\u2010miR\u201031\u20105p\/TLN2 axis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Based on machine learning, a novel ERLRs\u2010based score was constructed for predicting the survival of ccRCC patients. The ERLRs\u2010based score is a promising potential independent prognostic factor that is closely correlated with the immune microenvironment and clinicopathological characteristics. Meanwhile, we screened out key lncRNAEMX2OS and identified the EMX2OS\/hsa\u2010miR\u201031\u20105p\/TLN2 axis, which may provide new clues for the targeted therapy of ccRCC.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.7308","type":"journal-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T12:19:22Z","timestamp":1716985162000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Exosome\u2010related <scp>lncRNA<\/scp> score: A value\u2010based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma"],"prefix":"10.1002","volume":"13","author":[{"given":"Zhan","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Urology The First Affiliated Hospital of Wenzhou Medical University  Wenzhou Zhejiang Province 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