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LymphGen无法分类的弥漫性大B细胞淋巴瘤中的遗传预后标志物

Genetic prognostic markers in LymphGen-unclassifiable diffuse large B cell lymphoma.

作者信息

Kanemasa Yusuke, Sadato Daichi, Isogai Maya, Ogawa Mina, Hirama Chizuko, Kawaji Hideya, Yamaguchi Tatsuro, Harada Yuka, Hishima Tsunekazu, Oboki Keisuke, Shimoyama Tatsu

机构信息

Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-ku, Tokyo, 113-8677, Japan.

Department of Clinical Genetics, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan.

出版信息

Int J Hematol. 2025 Sep 12. doi: 10.1007/s12185-025-04065-2.

Abstract

Diffuse large B cell lymphoma (DLBCL), the most common subtype of non-Hodgkin lymphoma, has variable treatment responses and distinct molecular subtypes. Despite therapeutic advances, a significant number of patients experience treatment failure or relapse. Recent genetic subtyping methods, such as the LymphGen algorithm, classify DLBCL into molecular subtypes. However, a subset of cases remains categorized as "LymphGen-unclassifiable" ("Other" group in the LymphGen classification). These cases lack distinctive genetic features and present challenges for risk assessment. In this study, we aimed to identify prognostic genetic markers specific to LymphGen-unclassifiable DLBCL. Using a discovery cohort from the National Cancer Institute, we identified genetic alterations in CDKN2A and PIM1 that were significantly associated with overall survival in this patient group. We then validated the model in a separate cohort from Komagome Hospital in Tokyo. Our model, combined with the International Prognostic Index (IPI), identified high-risk LymphGen-unclassifiable DLBCL patients within the high-risk IPI group, showing a 2-year overall survival rate of 38% versus 72%. This approach could support the development of more targeted therapies by improving prognostic accuracy and advancing understanding of LymphGen-unclassifiable DLBCL.

摘要

弥漫性大B细胞淋巴瘤(DLBCL)是非霍奇金淋巴瘤最常见的亚型,其治疗反应各异,分子亚型也各不相同。尽管治疗取得了进展,但仍有相当数量的患者经历治疗失败或复发。最近的基因分型方法,如LymphGen算法,将DLBCL分为分子亚型。然而,仍有一部分病例被归类为“LymphGen无法分类”(LymphGen分类中的“其他”组)。这些病例缺乏独特的基因特征,给风险评估带来了挑战。在本研究中,我们旨在识别LymphGen无法分类的DLBCL特有的预后基因标志物。利用美国国立癌症研究所的一个发现队列,我们确定了CDKN2A和PIM1的基因改变,这些改变与该患者组的总生存期显著相关。然后,我们在东京驹込医院的一个独立队列中验证了该模型。我们的模型与国际预后指数(IPI)相结合,在高风险IPI组中识别出高风险的LymphGen无法分类的DLBCL患者,其2年总生存率为38%,而高风险IPI组的总生存率为72%。这种方法可以通过提高预后准确性和加深对LymphGen无法分类的DLBCL的理解,支持更有针对性的治疗方法的开发。

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