Literature DB >> 28527968

Rapid Immunohistochemistry With Thyroid Transcription Factor-1 for Pulmonary Adenocarcinoma.

Hayato Konno1, Hajime Saito2, Hiroshi Nanjo3, Yuko Hiroshima3, Nobuyasu Kurihara2, Satoshi Fujishima2, Maiko Atari2, Yusuke Sato2, Satoru Motoyama2, Ryuta Nakamura4, Yoichi Akagami4, Yoshihiro Minamiya2.   

Abstract

BACKGROUND: Intraoperative pathologic diagnosis of solitary pulmonary tumors to differentiate between metastatic and primary lung cancer is extremely important to determine the appropriate range of excision. Accurate intraoperative pathologic evaluation may be often difficult, however, and needs additional immunohistochemical (IHC) evaluation to support the diagnosis. Although conventional IHC is a powerful tool for diagnosis, its clinical use is limited intraoperatively because of time constraints. To address this issue, we developed a device that enables complete and rapid IHC (R-IHC) analyses within 20 minutes. We aimed to evaluate the discriminative ability of the R-IHC with anti-thyroid transcription factor-1 (TTF-1) antibody, which is a highly specific IHC marker for primary lung adenocarcinoma.
METHODS: A total of 61 pulmonary tumors that were resected at our institute from May 2011 to September 2013 were retrospectively examined. The samples were sectioned, labeled with anti-TTF-1 antibody using the R-IHC method, and pathologically evaluated. The standard used for evaluation was conventional IHC with TTF-1.
RESULTS: With the R-IHC procedure, analyses were completed within 20 minutes, with a diagnostic accuracy of 96.7% (59 of 61). Among the 47 primary lung adenocarcinomas, the R-IHC detected 31 (66%) tumors that were positive for TTF-1, with a positive predictive value of 100% (31 of 31).
CONCLUSIONS: Our newly developed method of R-IHC with anti-TTF-1 antibody was useful for diagnosing and differentiation of solitary pulmonary tumors. This technology may prove to be an important supplement to standard intraoperative pathologic diagnosis in routine practice.
Copyright © 2017 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28527968     DOI: 10.1016/j.athoracsur.2017.02.021

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  1 in total

1.  Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

Authors:  Wataru Shigeeda; Ryuichi Yosihimura; Yuji Fujita; Hidekazu Saiki; Hiroyuki Deguchi; Makoto Tomoyasu; Satoshi Kudo; Yuka Kaneko; Hironaga Kanno; Yoshihiro Inoue; Hajime Saito
Journal:  Thorac Cancer       Date:  2021-11-23       Impact factor: 3.500

  1 in total

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