{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15"],"submitter":["Guo S"],"pubmed_abstract":["<h4>Background</h4>Chimeric antigen receptor T cell (CAR-T) therapy for relapsed/refractory (r/r) B cell acute lymphoblastic leukemia (B-ALL) and B cell non-Hodgkin lymphoma (B-NHL) patients has shown promising effects, but side effects such as viral infections have been observed.<h4>Methods</h4>A total of 45 patients with r/r B-ALL and r/r B-NHL were included in this retrospective study. Patient demographics were recorded, with the primary endpoint being viral infection within 3 months post CAR-T treatment. Univariate and multivariate logistic regression analyses and least absolute shrinkage and selection operator (LASSO) regression analysis were used to analyze independent factors. The patients were divided into a training cohort of 28 and a validation cohort of 17 to construct a predict"],"journal":["Frontiers in oncology"],"pagination":["1549809"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11968754"],"repository":["biostudies-literature"],"pubmed_title":["A viral infection prediction model for patients with r/r B-cell malignancies after CAR-T therapy: a retrospective analysis."],"pmcid":["PMC11968754"],"pubmed_authors":["Liu J","Zhao M","Cao X","Wang B","Zhang X","Xiao X","Guo S","Zhao Y","Xu J"],"additional_accession":[]},"is_claimable":false,"name":"A viral infection prediction model for patients with r/r B-cell malignancies after CAR-T therapy: a retrospective analysis.","description":"<h4>Background</h4>Chimeric antigen receptor T cell (CAR-T) therapy for relapsed/refractory (r/r) B cell acute lymphoblastic leukemia (B-ALL) and B cell non-Hodgkin lymphoma (B-NHL) patients has shown promising effects, but side effects such as viral infections have been observed.<h4>Methods</h4>A total of 45 patients with r/r B-ALL and r/r B-NHL were included in this retrospective study. Patient demographics were recorded, with the primary endpoint being viral infection within 3 months post CAR-T treatment. Univariate and multivariate logistic regression analyses and least absolute shrinkage and selection operator (LASSO) regression analysis were used to analyze independent factors. The patients were divided into a training cohort of 28 and a validation cohort of 17 to construct a predict","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2025-07-09T03:05:11.411Z","creation":"2025-07-09T03:05:11.411Z"},"accession":"S-EPMC11968754","cross_references":{"pubmed":["40190552"],"doi":["10.3389/fonc.2025.1549809"]}}