Prognostic stratification in DLBCL patients with aberrant MYC gene

Author:

Li Jian‐Rong123,Shaw Vikram R.1,Parthasarathy Abi1,Li Yong23,Amos Christopher I.123,Cheng Chao123ORCID

Affiliation:

1. Institute for Clinical and Translational Research, Baylor College of Medicine Houston Texas USA

2. Section of Epidemiology and Population Sciences, Department of Medicine Baylor College of Medicine Houston Texas USA

3. Dan L Duncan Comprehensive Cancer Center Baylor College of Medicine Houston Texas USA

Abstract

SummaryDiffuse large B‐cell lymphoma (DLBCL) is a heterogeneous disease characterized by a subset of patients who exhibit treatment resistance and poor prognoses. Genomic assays have been widely employed to identify high‐risk individuals characterized by rearrangements in the MYC, BCL2 and BCL6 genes. These patients typically undergo more aggressive therapeutic treatments; however, there remains a significant variation in their treatment outcomes. This study introduces an MYC signature score (MYCSS) derived from gene expression profiles, specifically designed to evaluate MYC overactivation in DLBCL patients. MYCSS was validated across several independent cohorts to assess its ability to stratify patients based on MYC‐related genetic and molecular aberrations, enhancing the accuracy of prognostic evaluations compared to conventional MYC biomarkers. Our results indicate that MYCSS significantly refines prognostic accuracy beyond that of conventional MYC biomarkers focused on genetic aberrations. More importantly, we found that nearly 50% of patients identified as high risk by traditional MYC metrics actually share similar survival prospects with those having no MYC aberrations. These patients may benefit from standard GCB‐based therapies rather than more aggressive treatments. MYCSS provides a robust signature that identifies high‐risk patients, aiding in the precision treatment of DLBCL, and minimizing the potential for overtreatment.

Funder

Cancer Prevention and Research Institute of Texas

Center for Biomedical Informatics and Information Technology

Publisher

Wiley

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