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December 8, 2025Blood

A predictive model based on NCCN-IPI and 2 pirnas for prognostic risk stratification of diffuse large B-cell lymphoma (DLBCL)

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Authors

BXBing XuZhejiang Chinese Medical University

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Implication

Survival analysis shows piRNAs improve prognostic model for DLBCL, indicating superior risk stratification.

Key Points

  • This research aims to improve prognostic evaluation for diffuse large B-cell lymphoma (DLBCL) using piRNAs and NCCN-IPI.
  • Analyzed 91 DLBCL patients alongside 30 normal lymph node controls from 2016 to 2019.
  • Utilized high-throughput sequencing and qPCR to identify abnormally expressed piRNAs.
  • Employed survival analysis and Cox regression to evaluate overall survival (OS) correlations with piRNAs and NCCN-IPI.
  • Developed a nomogram model integrating traditional markers with piRNA expression levels.
  • Identified piR-32260 and piR-28846 as independent prognostic markers for DLBCL.
  • Combined model improved C-index from 0.6551 to 0.7200, indicating enhanced prognostic accuracy.
  • Demonstrated better categorization into risk groups: low, intermediate-low, intermediate-high, and high-risk.
  • AUC at 1, 3, and 5 years for model are 0.515, 0.755, and 0.773 respectively.

Cite This Study

Bing Xu (2025) studied this question.

synapsesocial.com/papers/69362f764fa91c937236e423https://doi.org/10.1182/blood-2025-3667
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