Novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer

Abstract Axillary lymph node status and pathological diagnosis of sentinel lymph nodes (SLNs) is a prognostic factor that influences management of postoperative therapy. Recent reports indicate that one-step nucleic acid amplification and hematoxylin and eosin (HE)-stained frozen sections are effect...

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Autores principales: Kaori Terata, Hajime Saito, Hiroshi Nanjo, Yuko Hiroshima, Satoru Ito, Kasumi Narita, Yoichi Akagami, Ryuta Nakamura, Hayato Konno, Aki Ito, Satoru Motoyama, Yoshihiro Minamiya
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Publicado: Nature Portfolio 2017
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spelling oai:doaj.org-article:795151adf9c64630a71a3ce38e8e35002021-12-02T16:07:04ZNovel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer10.1038/s41598-017-02883-x2045-2322https://doaj.org/article/795151adf9c64630a71a3ce38e8e35002017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02883-xhttps://doaj.org/toc/2045-2322Abstract Axillary lymph node status and pathological diagnosis of sentinel lymph nodes (SLNs) is a prognostic factor that influences management of postoperative therapy. Recent reports indicate that one-step nucleic acid amplification and hematoxylin and eosin (HE)-stained frozen sections are effective for intraoperative diagnosis of SLNs. In the present study, we report a rapid-immunohistochemical staining (R-IHC) method that enables intraoperative detection of SLN metastases within 16 min using an anti-cytokeratin antibody. This is the first report on SLN diagnosis using R-IHC in patients with breast cancer. We prospectively examined 160 dissected SLNs from 108 breast cancer patients who underwent surgery at our institute. The dissected SLNs were sectioned and conventionally stained with HE or immunohistochemically labeled with anti-cytokeratin antibody using R-IHC procedures. Intraoperative R-IHC analyses were completed within 16 min, after which diagnoses were made by two pathologists. The total time required for intraoperative diagnosis was about 20 min. In this study series, R-IHC detected four metastatic SLNs that were undetected using conventional HE staining (4/20, 20.0%). Compared with subsequent permanent diagnosis, R-IHC offered 95.2% sensitivity and 100% specificity. These findings indicate R-IHC is a clinically applicable technique that enables precise and quick intraoperative detection of micro- and macrometastasis in breast cancer.Kaori TerataHajime SaitoHiroshi NanjoYuko HiroshimaSatoru ItoKasumi NaritaYoichi AkagamiRyuta NakamuraHayato KonnoAki ItoSatoru MotoyamaYoshihiro MinamiyaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kaori Terata
Hajime Saito
Hiroshi Nanjo
Yuko Hiroshima
Satoru Ito
Kasumi Narita
Yoichi Akagami
Ryuta Nakamura
Hayato Konno
Aki Ito
Satoru Motoyama
Yoshihiro Minamiya
Novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer
description Abstract Axillary lymph node status and pathological diagnosis of sentinel lymph nodes (SLNs) is a prognostic factor that influences management of postoperative therapy. Recent reports indicate that one-step nucleic acid amplification and hematoxylin and eosin (HE)-stained frozen sections are effective for intraoperative diagnosis of SLNs. In the present study, we report a rapid-immunohistochemical staining (R-IHC) method that enables intraoperative detection of SLN metastases within 16 min using an anti-cytokeratin antibody. This is the first report on SLN diagnosis using R-IHC in patients with breast cancer. We prospectively examined 160 dissected SLNs from 108 breast cancer patients who underwent surgery at our institute. The dissected SLNs were sectioned and conventionally stained with HE or immunohistochemically labeled with anti-cytokeratin antibody using R-IHC procedures. Intraoperative R-IHC analyses were completed within 16 min, after which diagnoses were made by two pathologists. The total time required for intraoperative diagnosis was about 20 min. In this study series, R-IHC detected four metastatic SLNs that were undetected using conventional HE staining (4/20, 20.0%). Compared with subsequent permanent diagnosis, R-IHC offered 95.2% sensitivity and 100% specificity. These findings indicate R-IHC is a clinically applicable technique that enables precise and quick intraoperative detection of micro- and macrometastasis in breast cancer.
format article
author Kaori Terata
Hajime Saito
Hiroshi Nanjo
Yuko Hiroshima
Satoru Ito
Kasumi Narita
Yoichi Akagami
Ryuta Nakamura
Hayato Konno
Aki Ito
Satoru Motoyama
Yoshihiro Minamiya
author_facet Kaori Terata
Hajime Saito
Hiroshi Nanjo
Yuko Hiroshima
Satoru Ito
Kasumi Narita
Yoichi Akagami
Ryuta Nakamura
Hayato Konno
Aki Ito
Satoru Motoyama
Yoshihiro Minamiya
author_sort Kaori Terata
title Novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer
title_short Novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer
title_full Novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer
title_fullStr Novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer
title_full_unstemmed Novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer
title_sort novel rapid-immunohistochemistry using an alternating current electric field for intraoperative diagnosis of sentinel lymph nodes in breast cancer
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/795151adf9c64630a71a3ce38e8e3500
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