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December 8, 2025BloodOpen Access

Construction of a prognostic model for new diffuse large B-cell lymphoma and research on risk factors for secondary central nervous system infiltration

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Authors

SHShuling HouJCJuya CuiTWTao Wang

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Overview

This analysis builds a prognostic model for overall survival in DLBCL, highlighting p53 mutations and systemic factors as key contributors.

Key Points

  • Prognostic model achieved AUC values over 0.7 for predicting OS in DLBCL patients.
  • Key risk factor POD6 increased likelihood of poor outcomes with high-risk indicators yielding HR = 5.13.
  • Assessment involved next-generation sequencing and concordance index to analyze adverse factors like p53 and bcl2.
  • Enhanced model shows clinical relevance in predicting central nervous system involvement and overall survival outcomes.

Cite This Study

Hou et al. (2025) studied this question.

synapsesocial.com/papers/69362f7f4fa91c937236e58chttps://doi.org/10.1182/blood-2025-5438
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Development and validation of a novel pathologically-based prognostic model for primary central nervous system lymphoma2025
  2. 2A predictive model based on NCCN-IPI and 2 pirnas for prognostic risk stratification of diffuse large B-cell lymphoma (DLBCL)2025
  3. 3Establishment and Evaluation of Prognostic Prediction Model for Diffuse Large B-cell Lymphoma Patients Based on International Prognostic Index and FAT4, TP53 Mutation2025 · 1 citations
  4. 4Investigation into the prognostic factors of early recurrence and progression in previously untreated diffuse large B-cell lymphoma and a statistical prediction model for POD122025 · 3 citations
  5. 5Prognostic significance of POD24 in Primary central nervous system diffuse large B-cell lymphoma: A Retrospective Study2025