Gascoyne Randy D
Department of Pathology & Laboratory Medicine, BC Cancer Agency & the University of British Columbia, 600 W. 10th Avenue, Vancouver, BC V5Z 4E6, Canada.
Curr Opin Oncol. 2004 Sep;16(5):436-41. doi: 10.1097/00001622-200409000-00004.
Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype, characterized by marked clinical and biologic heterogeneity. Gene expression studies together with new monoclonal antibody production are playing an increasing role in determining important prognostic factors/biomarkers predictive of outcome. Despite these technical advances, much confusion exists in the literature as to what constitutes the important biomarkers for determining patient outcome. The purpose of this review is to highlight recent advances in our understanding of novel biomarkers in DLBCL and how these might be incorporated into current risk-adjustment models for prognosis.
Microarray gene expression analyses have revolutionized our approach to biomarkers in non-Hodgkin lymphomas. Thousands of genes can now be simultaneously analyzed for individual patients, creating a wealth of new data. This has resulted in an improved understanding of the basic biology, as well as the development of new outcome predictors. Monoclonal antibody reagents for some of these biomarkers already exist, allowing for their rapid validation at the level of protein expression and potential clinical translation.
A molecular classification of DLBCL is a current reality, and together with routine morphology, immunophenotype, and molecular cytogenetics, has allowed us to more accurately subclassify DLBCL and determine clinically relevant subgroups. The time is right to begin to consider how these novel biomarkers should be incorporated into current prognostic models to move beyond the clinically based International Prognostic Index
弥漫性大B细胞淋巴瘤(DLBCL)是最常见的淋巴瘤亚型,具有显著的临床和生物学异质性。基因表达研究以及新单克隆抗体的产生在确定预测预后的重要预后因素/生物标志物方面发挥着越来越重要的作用。尽管有这些技术进步,但关于哪些因素构成决定患者预后的重要生物标志物,文献中仍存在很多混淆。本综述的目的是强调我们对DLBCL新型生物标志物的理解方面的最新进展,以及这些生物标志物如何可能被纳入当前的预后风险调整模型。
微阵列基因表达分析彻底改变了我们研究非霍奇金淋巴瘤生物标志物的方法。现在可以同时对个体患者的数千个基因进行分析,产生大量新数据。这增进了我们对基础生物学的理解,也推动了新的预后预测指标的发展。针对其中一些生物标志物的单克隆抗体试剂已经存在,这使得它们能够在蛋白质表达水平上快速得到验证,并有可能实现临床转化。
DLBCL的分子分类目前已成为现实,结合常规形态学、免疫表型和分子细胞遗传学,使我们能够更准确地对DLBCL进行亚分类,并确定临床相关亚组。现在是时候开始考虑如何将这些新型生物标志物纳入当前的预后模型,以超越基于临床的国际预后指数