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December 8, 2025BloodOpen Access

Integrated clinico-biological profiling identifies a high-risk epigenetic signature in Mantle Cell Lymphoma: A lysa study

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Authors

GCGuillaume CharbonnierBBBarbara BurroniMLMehdi Latiri

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Overview

Integrated analysis identifies biomarkers and an epigenetic signature in Mantle Cell Lymphoma, highlighting improved patient stratification using machine learning.

Key Points

  • The aim is to identify biomarkers for high-risk patients with Mantle Cell Lymphoma using integrated clinico-biological profiling.
  • Analyzed data from 299 patients in the LyMa phase 3 trial.
  • Utilized whole-exome sequencing and various biological analyses on tumor samples.
  • Employed machine learning models, including random forest and PLS-DA, to predict high-risk status.
  • 31 patients identified as high-risk with a median survival of 8.5 months after relapse.
  • High-risk patients showed significant genetic alterations, including TP53 alterations and MYC gains.
  • Integration of genetic and epigenetic analyses improved accuracy, achieving a test accuracy of 91% in predicting high-risk patients.

Cite This Study

Charbonnier et al. (2025) studied this question.

synapsesocial.com/papers/69362f3a4fa91c937236d41ehttps://doi.org/10.1182/blood-2025-661
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Also Consider

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

  1. 1Comprehensive genetic analysis by targeted sequencing identifies risk factors and predicts patient outcome in Mantle Cell Lymphoma: results from the EU-MCL network trials2024
  2. 2Abstract IA010: TP53-independent risk stratification in mantle cell lymphoma using a novel gene expression signature2026
  3. 3Non-invasive Mantle Cell Lymphoma risk stratification by inference of tumor proliferation from cfDNA2025
  4. 4Genomic characterization uncovers molecular subtypes in Mantle Cell Lymphoma2025
  5. 5Comprehensive genetic analysis by targeted sequencing identifies risk factors and predicts patient outcome in Mantle Cell Lymphoma: results from the EU-MCL network trials2024 · 23 citations