Purpose: The International Extranodal Lymphoma Study Group (IELSG) score is widely used in clinical practice to stratify the risk of primary central nervous system lymphoma (PCNSL) patients. Our study aims to confirm and improve the IELSG score in PCNSL patients based on Chinese populations.
Materials And Methods: A total of 79 PCNSL patients were retrospectively analyzed. All patients treated with high-dose methotrexate (HD-MTX)-based therapy collected clinical data. The receiver-operating characteristic (ROC) curve was used to determine the optimal cut-off values for the factors in IELSG score. Progression of disease (POD) at the most landmark time point was determine by Epanechnikov kernel and the area under the ROC curve (AUROC). Kaplan-Meier and multivariable regression methods were used to analyze survival data. Nomogram was generated for calculating the weight of each selected factor.
Results: The traditional IELSG score had no significant difference on OS and PFS except ECOG ≥ 2 and could not stratify the risk groups in PCNSL. The improved IELSG scoring system was established, which incorporated age ≥ 54 years, ECOG ≥ 2, deep brain structure, elevated CSF protein, and LDH/ULN > 0.75. On the other hand, POD18 was identified as a new powerful prognostic factor for PCNSL. In multivariate analysis, POD18 and the improved IELSG scoring system were independent prognostic factors for OS. Nomogram including the two significant variables showed the best performance (C-index = 0.828).
Conclusions: In this study, the IELSG score was improved and a new prognostic indicator POD18 was incorporated to construct a nomogram prognostic model, thereby further improving the predictive ability of the model.
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http://dx.doi.org/10.1007/s12094-023-03292-5 | DOI Listing |
Ann Hematol
December 2024
Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119 West Nansihuan Road, Beijing, 100070, China.
To investigate the prognostic significance of clinicopathological factors in patients with primary central nervous system lymphoma (PCNSL) in a single center. Patients newly diagnosed with PCNSL at our center were recruited between January 2019 and March 2023. Baseline demographic and clinicopathological data were collected retrospectively.
View Article and Find Full Text PDFNeurosurg Rev
September 2024
Lab in Biotechnology and Biosignal Transduction, Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai-77, Tamil Nadu, India.
This study by Zuo et al. (2024) investigates the prognostic significance of C-reactive protein (CRP) levels, the prognostic nutritional index (PNI), and the lactate dehydrogenase-to-lymphocyte ratio (LLR) in primary central nervous system lymphoma (PCNSL) using data from 223 patients. The research demonstrates that these markers are critical in predicting patient outcomes, offering novel insights beyond traditional prognostic models like the MSKCC and IELSG scores.
View Article and Find Full Text PDFJ Clin Oncol
December 2024
Institute of Oncology Research (IOR), Bellinzona, Switzerland.
Eur J Haematol
April 2024
Department of Hematology and Oncology, Medical Faculty, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Neurosurg Rev
December 2023
Department of Neuro-Oncology, Sanbo Brain Hospital, Capital Medical University, Beijing, People's Republic of China.
Primary central nervous system lymphoma (PCNSL) is a rare and highly aggressive type of extranodal non-Hodgkin lymphoma (NHL), and the prognosis is poor. Currently, the most used prognostic models are the Memorial Sloan-Kettering Cancer Center (MSKCC) and International Extranodal Lymphoma Study Group (IELSG) scores; however, their predictive effects are changing with increasing incidence and changing treatment regimens. A growing body of evidence has demonstrated that inflammatory and nutritional markers are factors that can determine tumor prognosis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!