{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yan C"],"funding":["the Key Research and Development Program Project of Guangxi Zhuang Autonomous Region","Natural Science Foundation of Guangxi Zhuang Autonomous Region"],"pagination":["108"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11323451"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["19(1)"],"pubmed_abstract":["<h4>Purpose</h4>To explore the influence of circulating lymphocyte subsets, serum markers, clinical factors, and their impact on overall survival (OS) in locally advanced nasopharyngeal carcinoma (LA-NPC). Additionally, to construct a nomogram predicting OS for LA-NPC patients using independent prognostic factors.<h4>Methods</h4>A total of 530 patients with LA-NPC were included in this study. In the training cohort, Cox regression analysis was utilized to identify independent prognostic factors, which were then integrated into the nomogram. The concordance index (C-index) was calculated for both training and validation cohorts. Schoenfeld residual analysis, calibration curves, and decision curve analysis (DCA) were employed to evaluate the nomogram. Kaplan-Meier methods was performed based"],"journal":["Radiation oncology (London, England)"],"pubmed_title":["A nomogram based on circulating CD8<sup>+</sup> T cell and platelet-to-lymphocyte ratio to predict overall survival of patients with locally advanced nasopharyngeal carcinoma."],"pmcid":["PMC11323451"],"funding_grant_id":["GuikeAB23026020","2023GXNSFBA026012"],"pubmed_authors":["Yang G","Qu S","Chen K","Zhu XD","Liang Z","Yan C","Zhang C","Lai L","Sun Y","Li L"],"additional_accession":[]},"is_claimable":false,"name":"A nomogram based on circulating CD8<sup>+</sup> T cell and platelet-to-lymphocyte ratio to predict overall survival of patients with locally advanced nasopharyngeal carcinoma.","description":"<h4>Purpose</h4>To explore the influence of circulating lymphocyte subsets, serum markers, clinical factors, and their impact on overall survival (OS) in locally advanced nasopharyngeal carcinoma (LA-NPC). Additionally, to construct a nomogram predicting OS for LA-NPC patients using independent prognostic factors.<h4>Methods</h4>A total of 530 patients with LA-NPC were included in this study. In the training cohort, Cox regression analysis was utilized to identify independent prognostic factors, which were then integrated into the nomogram. The concordance index (C-index) was calculated for both training and validation cohorts. Schoenfeld residual analysis, calibration curves, and decision curve analysis (DCA) were employed to evaluate the nomogram. Kaplan-Meier methods was performed based","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2025-04-05T10:08:25.885Z","creation":"2024-12-03T19:35:52.024Z"},"accession":"S-EPMC11323451","cross_references":{"pubmed":["39138513"],"doi":["10.1186/s13014-024-02500-y"]}}