
Development of a Novel One-Step Automated Rapid in situ Hybridization for Anaplastic Lymphoma Kinase Rearrangement Using Non-Contact Alternating-Current Electric-Field Mixing
Author(s) -
Kazuhiro Imai,
Shinogu Takashima,
Satoshi Fujishima,
Tsubasa Matsuo,
S Watanabe,
Hiroshi Nanjo,
Yoichi Akagami,
Ryuta Nakamura,
Kaori Terata,
Akiyuki Wakita,
Yusuke Sato,
Satoru Motoyama,
Yoshihiro Minamiya
Publication year - 2020
Publication title -
pathobiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.941
H-Index - 53
eISSN - 1423-0291
pISSN - 1015-2008
DOI - 10.1159/000505631
Subject(s) - anaplastic lymphoma kinase , current (fluid) , anaplastic large cell lymphoma , in situ , mixing (physics) , lymphoma , biology , chemistry , pathology , medicine , physics , immunology , electrical engineering , engineering , organic chemistry , quantum mechanics , malignant pleural effusion , lung cancer
Echinoderm microtubule-associated protein-like 4 and anaplastic lymphoma kinase (ALK) fusion gene rearrangement is a key driver mutation in non-small cell lung cancer (NSCLC). Although Break-Apart ALK fluorescence in situ hybridization (FISH) is a reliable diagnostic method for detecting ALK gene rearrangement, it is also costly and time-consuming to use as a routine screening test. Our aim was to evaluate the clinical utility of a novel one-step, automated, rapid FISH (Auto-RaFISH) method developed to facilitate hybridization. This method takes advantage of the non-contact mixing effect of an alternating-current electric field. Ten representative specimens from 85 patients diagnosed at multiple centers with primary lung cancer with identified ALK-FISH status were collected. The specimens were all tested using FISH, RaFISH, and Auto-RaFISH. With both RaFISH protocols, the ALK test was completed within 4.5 h, as compared to the 20 h needed for the standard protocol. We found 100% agreement between the standard FISH, RaFISH, and new Auto-RaFISH based on the ALK status, and all methods stained equally well. These findings suggest that Auto-RaFISH could potentially serve as an automated clinical tool for prompt determination of ALK status in NSCLC.