Literature DB >> 28714765

Comparison of Estrogen and Progesterone Receptor Antibody Reagents Using Proficiency Testing Data.

Megan L Troxell, Thomas Long, Jason L Hornick, Abiy B Ambaye, Kristin C Jensen.   

Abstract

CONTEXT: - Immunohistochemical analysis of estrogen receptor (ER) and progesterone receptor (PgR) expression in breast cancer is the current standard of care and directly determines therapy. In 2010 the American Society of Clinical Oncology and the College of American Pathologists (ASCO/CAP) published guidelines for ER and PgR predictive testing, encompassing preanalytic, analytic, postanalytic factors; antibody validation; and proficiency testing.
OBJECTIVE: - To compare the performance of different antibody reagents for ER and PgR immunohistochemical analysis by using CAP proficiency testing data.
DESIGN: - The CAP PM2 survey uses tissue microarrays of ten 2-mm cores per slide. We analyzed survey data from 80 ER and 80 PgR cores by antibody clone from more than 1200 laboratories.
RESULTS: - Laboratories used the ER antibodies SP1 (72%), 6F11 (17%), 1D5 (3%), and the PgR antibodies 1E2 (61%), 16 (12%), PgR-636 (13%), PgR-1294 (8%) in 2015. While 63 of 80 ER cores (79%) were scored similarly using each of the 3 antibodies, there were significant differences for others, with SP1 yielding more positive interpretations. Four cores were scored as ER negative by more than half of the laboratories using 1D5 or 6F11, while SP1 produced positive results in more than 70% of laboratories using that antibody. Despite the greater variety of PgR antibody reagents and greater PgR tumor heterogeneity, 61 of 80 cores (76%) were scored similarly across the 4 PgR antibodies.
CONCLUSIONS: - Accurate ER and PgR testing in breast cancer is crucial for appropriate treatment. The CAP proficiency testing data demonstrate differences in staining results by ER clone, with SP1 yielding more positive results.

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Year:  2017        PMID: 28714765     DOI: 10.5858/arpa.2016-0497-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  6 in total

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Authors:  Emanuele Perrone; Riccardo Tudisco; Pia Clara Pafundi; Davide Guido; Alessandra Ciucci; Enrica Martinelli; Gian Franco Zannoni; Alessia Piermattei; Saveria Spadola; Giulia Ferrante; Claudia Marchetti; Giovanni Scambia; Anna Fagotti; Daniela Gallo
Journal:  Cancers (Basel)       Date:  2022-09-22       Impact factor: 6.575

2.  FSTL1 enhances chemoresistance and maintains stemness in breast cancer cells via integrin β3/Wnt signaling under miR-137 regulation.

Authors:  Shaoqiang Cheng; Yuanxi Huang; Chun Lou; Yanxia He; Yue Zhang; Qingyuan Zhang
Journal:  Cancer Biol Ther       Date:  2018-10-18       Impact factor: 4.742

Review 3.  Assessment of estrogen receptor low positive status in breast cancer: Implications for pathologists and oncologists.

Authors:  Nicola Fusco; Moira Ragazzi; Elham Sajjadi; Konstantinos Venetis; Roberto Piciotti; Stefania Morganti; Giacomo Santandrea; Giuseppe Nicolò Fanelli; Luca Despini; Marco Invernizzi; Bruna Cerbelli; Cristian Scatena; Carmen Criscitiello
Journal:  Histol Histopathol       Date:  2021-09-29       Impact factor: 2.303

4.  Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.

Authors:  Gil Shamai; Yoav Binenbaum; Ron Slossberg; Irit Duek; Ziv Gil; Ron Kimmel
Journal:  JAMA Netw Open       Date:  2019-07-03

5.  Changing Trends in Estrogen Receptors/Progesterone Receptors/Human Epidermal Growth Factor Receptor 2 Prevalence Rates Among Jordanian Patients With Breast Cancer Over the Years.

Authors:  Anas M Alsughayer; Tamara Z Dabbagh; Rashid H Abdel-Razeq; Ghada N Al-Jussani; Salam Alhassoon; Maher A Sughayer
Journal:  JCO Glob Oncol       Date:  2022-03

6.  A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers.

Authors:  Felipe Andrés Cordero da Luz; Eduarda da Costa Marinho; Camila Piqui Nascimento; Lara de Andrade Marques; Patrícia Ferreira Ribeiro Delfino; Rafael Mathias Antonioli; Rogério Agenor de Araújo; Marcelo José Barbosa Silva
Journal:  Ecancermedicalscience       Date:  2022-05-04
  6 in total

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