Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA.
Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Br J Haematol. 2024 Nov;205(5):1782-1793. doi: 10.1111/bjh.19699. Epub 2024 Aug 13.
Diffuse 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.
弥漫性大 B 细胞淋巴瘤(DLBCL)是一种异质性疾病,其部分患者表现出治疗抵抗和预后不良。基因组分析已广泛用于识别存在 MYC、BCL2 和 BCL6 基因重排的高危个体。这些患者通常接受更积极的治疗,但他们的治疗结果仍存在显著差异。本研究引入了一种源自基因表达谱的 MYC 特征评分(MYCSS),旨在评估 DLBCL 患者中 MYC 的过度激活。该评分在多个独立队列中得到验证,以评估其基于 MYC 相关遗传和分子异常对患者进行分层的能力,与传统的 MYC 生物标志物相比,提高了预后评估的准确性。我们的结果表明,MYCSS 显著提高了预后准确性,超越了仅关注遗传异常的传统 MYC 生物标志物。更重要的是,我们发现,近 50%的传统 MYC 指标定义为高危的患者实际上与无 MYC 异常的患者具有相似的生存前景。这些患者可能受益于基于 GCB 的标准治疗,而不是更积极的治疗。MYCSS 提供了一个稳健的特征,可以识别高危患者,有助于 DLBCL 的精准治疗,并最大限度地减少过度治疗的可能性。