间变性淋巴瘤激酶
间变性大细胞淋巴瘤
荧光原位杂交
淋巴瘤
免疫组织化学
CD30
融合基因
生物
基因重排
分子生物学
染色体易位
癌症研究
病理
基因
医学
免疫学
肺癌
遗传学
恶性胸腔积液
染色体
作者
Kimberley A. Cataldo,Syed M. Jalal,Mark E. Law,Stephen M. Ansell,David J. Inwards,Miriam Fine,Daniel A. Arber,Karen Pulford,John G. Strickler
标识
DOI:10.1097/00000478-199911000-00009
摘要
Anaplastic large cell lymphoma (ALCL) is associated with the t(2;5)(p23;q35) translocation involving the anaplastic lymphoma kinase gene (ALK) and the nucleophosmin gene (NPM), which result in expression of a novel fusion protein, NPM-ALK (p80). Clinicopathologic studies have shown that ALK expression in ALCL is associated with improved 5-year survival rates when compared with ALCL lacking ALK expression. This study used paraffin-embedded tissue to compare interphase fluorescence in situ hybridization (FISH) and reverse transcriptase-polymerase chain reaction (RT-PCR) for the detection of t(2;5) with immunohistochemical analysis for the detection of ALK protein expression in 27 patients with CD30-positive ALCLs. ALK protein expression was detected with ALK1 antibody in 14 of the 27 patients. The neoplastic cells in 13 of these 14 lymphomas reacted with the p80NPM/ALK antibody. FISH, using a two-color ALK DNA probe, correlated 100% with the immunohistochemical results: a translocation involving the ALK gene was detected in all 14 lymphomas that reacted with anti-ALK1. RT-PCR, performed on 21 lymphomas, detected NPM-ALK mRNA in five of the lymphomas, all of which reacted with anti-ALK1 and showed ALK gene rearrangement by FISH. Lymphomas showing ALK1 reactivity occurred in a younger patient population (median age, 19.5 years) and were associated with improved 5-year survival rates (84%), as compared with lymphomas lacking ALK1 reactivity (median age, 68.0 years; 5-year survival rate, 35%; p = 0.008). We conclude that immunohistochemical studies, using antibody ALK1, and FISH for ALK gene rearrangement are equally effective for identifying patients with ALCL who have a favorable clinical outcome.
科研通智能强力驱动
Strongly Powered by AbleSci AI