biostudies-literatureZhong SYuqin SongLijuan Deng541https://www.ebi.ac.uk/biostudies/studies/S-EPMC12896782biostudies-literatureUnknown18(3)<h4>Background</h4>Primary central nervous system lymphoma (PCNSL) is a rare extranodal lymphoma characterized by a poor prognosis due to high relapse rates and a lack of standardized treatment. This study aimed to evaluate the impact of induction/consolidation therapy on long-term survival and to provide extended follow-up data.<h4>Methods</h4>In this retrospective analysis, 140 immunocompetent patients with diffuse large B-cell PCNSL (DLBCL-PCNSL) treated at two centers between 2014 and 2024 were enrolled. Treatment efficacy was assessed based on baseline characteristics, therapeutic regimens, and treatment response. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method, and prognostic factors were identified using multivariate Cox proportCancersClinical Characteristics and Prognosis of Primary Central Nervous System Lymphoma: A Retrospective Analysis.PMC12896782Nos. 2022-1-2152, 2024-1-2151BRWEP2024032150207Nos. L244063, L244025No. 82270195Ping LZhao LXie YZhu JZhong SDeng LWang XChai JMi LSong YfalseClinical Characteristics and Prognosis of Primary Central Nervous System Lymphoma: A Retrospective Analysis.<h4>Background</h4>Primary central nervous system lymphoma (PCNSL) is a rare extranodal lymphoma characterized by a poor prognosis due to high relapse rates and a lack of standardized treatment. This study aimed to evaluate the impact of induction/consolidation therapy on long-term survival and to provide extended follow-up data.<h4>Methods</h4>In this retrospective analysis, 140 immunocompetent patients with diffuse large B-cell PCNSL (DLBCL-PCNSL) treated at two centers between 2014 and 2024 were enrolled. Treatment efficacy was assessed based on baseline characteristics, therapeutic regimens, and treatment response. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method, and prognostic factors were identified using multivariate Cox proport2026-01-01T00:00:00Z2026 Feb2026-07-07T03:12:15.78Z2026-07-07T03:09:41.742ZS-EPMC128967824168201110.3390/cancers18030541