Literature DB >> 12090421

Cytokeratin immunohistochemical validation of the sentinel node hypothesis in patients with breast cancer.

Karyn B Stitzenberg1, Benjamin F Calvo, Mary V Iacocca, Brian H Neelon, Leah B Sansbury, Lynn G Dressler, David W Ollila.   

Abstract

No standard method for handling and histopathologic examination of the sentinel node (SN) exists. We hypothesized that a focused examination of all nodes with serial sectioning and cytokeratin immunohistochemical staining would confirm the SN as the node most likely to harbor metastasis. Intraoperative lymphatic mapping and sentinel lymphadenectomy using blue dye and (99m)technetium-labeled sulfur colloid were performed. All nodes were stained with H&E. All tumor-free nodes underwent additional sectioning and staining with H&E and an immunohistochemical stain. Routine H&E examination detected SN metastases in 27.6% of cases. Occult SN metastases were identified in 12.7% of cases. None of the 724 non-SNs examined contained occult metastases. The SN false-negative rate was zero. This study confirms histopathologically that the SN has biologic significance as the axillary node most likely to harbor metastatic tumor Standardization of the handling, sectioning, and staining of the SN is necessary as lymphatic mapping and sentinel lymphadenectomy become integrated into the care of patients with breast cancer

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Year:  2002        PMID: 12090421     DOI: 10.1309/7606-f158-ugjw-yble

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  5 in total

1.  A model for determining the optimum histology of sentinel lymph nodes in breast cancer.

Authors:  G Cserni
Journal:  J Clin Pathol       Date:  2004-05       Impact factor: 3.411

Review 2.  Sentinel lymph node mapping for primary breast cancer.

Authors:  Lori L Wilson; Armando E Giuliano
Journal:  Curr Oncol Rep       Date:  2005-01       Impact factor: 5.075

3.  Extracapsular extension of the sentinel lymph node metastasis: a predictor of nonsentinel node tumor burden.

Authors:  Karyn B Stitzenberg; Anthony A Meyer; Stacey L Stern; William G Cance; Benjamin F Calvo; Nancy Klauber-DeMore; Hong Jin Kim; Leah Sansbury; David W Ollila
Journal:  Ann Surg       Date:  2003-05       Impact factor: 12.969

4.  Rapid diagnosis of lymph node metastasis in breast cancer using a new fluorescent method with γ-glutamyl hydroxymethyl rhodamine green.

Authors:  Yoshiaki Shinden; Hiroki Ueo; Taro Tobo; Ayako Gamachi; Mitsuaki Utou; Hisateru Komatsu; Sho Nambara; Tomoko Saito; Masami Ueda; Hidenari Hirata; Shotaro Sakimura; Yuki Takano; Ryutaro Uchi; Junji Kurashige; Sayuri Akiyoshi; Tomohiro Iguchi; Hidetoshi Eguchi; Keishi Sugimachi; Yoko Kubota; Yuichiro Kai; Kenji Shibuta; Yuko Kijima; Heiji Yoshinaka; Shoji Natsugoe; Masaki Mori; Yoshihiko Maehara; Masayo Sakabe; Mako Kamiya; John W Kakareka; Thomas J Pohida; Peter L Choyke; Hisataka Kobayashi; Hiroaki Ueo; Yasuteru Urano; Koshi Mimori
Journal:  Sci Rep       Date:  2016-06-09       Impact factor: 4.379

5.  Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI.

Authors:  Xiaoyu Cui; Nian Wang; Yue Zhao; Shuo Chen; Songbai Li; Mingjie Xu; Ruimei Chai
Journal:  Sci Rep       Date:  2019-02-19       Impact factor: 4.379

  5 in total

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