Tracey Lorraine, Villuendas Raquel, Dotor Ana Maria, Spiteri Inmaculada, Ortiz Pablo, Garcia Juan F, Peralto Jose Luis Rodriguez, Lawler Mark, Piris Miguel A
Molecular Pathology Program, Centro Nacional de Investigaciones Oncológicas, Melchor Fernández Almagro, 3 Madrid 28029, Spain.
Blood. 2003 Aug 1;102(3):1042-50. doi: 10.1182/blood-2002-11-3574. Epub 2003 Apr 10.
Mycosis fungoides (MF) is the most frequent type of cutaneous T-cell lymphoma, whose diagnosis and study is hampered by its morphologic similarity to inflammatory dermatoses (ID) and the low proportion of tumoral cells, which often account for only 5% to 10% of the total tissue cells. cDNA microarray studies using the CNIO OncoChip of 29 MF and 11 ID cases revealed a signature of 27 genes implicated in the tumorigenesis of MF, including tumor necrosis factor receptor (TNFR)-dependent apoptosis regulators, STAT4, CD40L, and other oncogenes and apoptosis inhibitors. Subsequently a 6-gene prediction model was constructed that is capable of distinguishing MF and ID cases with unprecedented accuracy. This model correctly predicted the class of 97% of cases in a blind test validation using 24 MF patients with low clinical stages. Unsupervised hierarchic clustering has revealed 2 major subclasses of MF, one of which tends to include more aggressive-type MF cases including tumoral MF forms. Furthermore, signatures associated with abnormal immunophenotype (11 genes) and tumor stage disease (5 genes) were identified.
蕈样肉芽肿(MF)是最常见的皮肤T细胞淋巴瘤类型,其诊断和研究受到其与炎症性皮肤病(ID)形态学相似性以及肿瘤细胞比例低的阻碍,肿瘤细胞通常仅占总组织细胞的5%至10%。使用CNIO肿瘤芯片对29例MF和11例ID病例进行的cDNA微阵列研究揭示了27个与MF肿瘤发生相关的基因特征,包括肿瘤坏死因子受体(TNFR)依赖性凋亡调节因子、STAT4、CD40L以及其他癌基因和凋亡抑制剂。随后构建了一个6基因预测模型,该模型能够以前所未有的准确性区分MF和ID病例。在对24例临床分期较低的MF患者进行的盲法测试验证中,该模型正确预测了97%病例的类别。无监督层次聚类揭示了MF的2个主要亚类,其中一个亚类倾向于包括更具侵袭性的MF病例,包括肿瘤性MF形式。此外,还确定了与异常免疫表型(11个基因)和肿瘤分期疾病(5个基因)相关的特征。