Literature DB >> 11348363

Assessment of Tissue Estrogen and Progesterone Receptor Levels: A Survey of Current Practice, Techniques, and Quantitation Methods.

Lester J. Layfield1, Dilip Gupta, Eoghan E. Mooney.   

Abstract

The assessment of steroid hormone receptors in resected breast carcinoma tissue is currently the standard of practice. The traditional method for assessment of receptor status is the ligand binding assay. More recently, immunohistochemistry (IHC) has become a popular method for such testing. Despite the widespread use of IHC and the availability of many antibodies, standardization of quantitative IHC for assessment of estrogen and progesterone receptors has not been achieved. While the College of American Pathologists (CAP) offers a Quality Assurance (QA) program for IHC quantitation of estrogen receptor (ER) and progesterone receptor (PgR), no universal standard is currently recognized in assessment of ER and PgR by IHC. We surveyed 300 laboratories within the United States for their current practices regarding the assessment of ER and PgR status in breast cancer tissue specimens. Eighty usable responses were received. Forty-nine (61%) laboratories performed the assay in-house, while the remainder sent the material out for assay. All responding laboratories performing their steroid receptor analysis in-house used the IHC technique. Forty-three (80%) laboratories answering the question on material accepted for analysis performed the assay only on paraffin-embedded material, three (6%) used either paraffin block or frozen material, and two (4%) used only frozen material. Eighty-eight percent of laboratories performing steroid receptor analysis in-house used a manual quantitation technique. Four (8%) used computer-assisted image analysis, and a single laboratory used laser scanning cytometry. Eight different antibodies were used among the 44 laboratories documenting the antibody supplier, and for any given commercially prepared antibody a wide variety of dilutions were used, with the exception of the standard solution used with the Ventana antibody. Of the laboratories using manual estimation techniques, 61% simply estimated the percentage of positive cells, 29% evaluated both the intensity of staining and percentage of nuclei staining, 6% used formal H-score analysis, 2% evaluated only intensity of nuclear staining, and 2% mainly counted the percentage of nuclei staining for ER but used a formal H score in the assessment of PgR. Cutoff points for the separation of positive and negative results varied widely, with some laboratories assessing any demonstrable positivity as a positive result, while others required as many as 19% of the nuclei to stain before a specimen was declared positive. Standardization techniques differed considerably among laboratories. Eighty-six percent used the CAP program for QA. While all laboratories utilized some form of intralaboratory control for assessment of ER and PgR, the nature of that control varied from laboratory to laboratory. Our survey indicates that a majority of laboratories perform their steroid hormone receptor analysis in-house using IHC. There is considerable variability in the antibodies utilized, the dilutions applied, and the quantitation method and level of expression used to dichotomize specimens into positive and negative groups. Finally, no universal control for interlaboratory standardization appears to exist.

Entities:  

Year:  2000        PMID: 11348363     DOI: 10.1046/j.1524-4741.2000.99097.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  11 in total

1.  Impact of low estrogen/progesterone receptor expression on survival outcomes in breast cancers previously classified as triple negative breast cancers.

Authors:  Kanwal P S Raghav; Leonel F Hernandez-Aya; Xiudong Lei; Marianan Chavez-Macgregor; Funda Meric-Bernstam; Thomas A Buchholz; Aysegul Sahin; Kim-Anh Do; Gabriel N Hortobagyi; Ana M Gonzalez-Angulo
Journal:  Cancer       Date:  2011-08-11       Impact factor: 6.860

2.  Which threshold for ER positivity? a retrospective study based on 9639 patients.

Authors:  M Yi; L Huo; K B Koenig; E A Mittendorf; F Meric-Bernstam; H M Kuerer; I Bedrosian; A U Buzdar; W F Symmans; J R Crow; M Bender; R R Shah; G N Hortobagyi; K K Hunt
Journal:  Ann Oncol       Date:  2014-02-20       Impact factor: 32.976

3.  Aromatase inhibitor strategies in metastatic breast cancer.

Authors:  Heather L McArthur; Patrick G Morris
Journal:  Int J Womens Health       Date:  2010-08-09

4.  Concordance between core needle biopsy and surgical specimen for oestrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status in breast cancer.

Authors:  Aravind Barathi Asogan; Ga Sze Hong; Subash Kumar Arni Prabhakaran
Journal:  Singapore Med J       Date:  2016-03-31       Impact factor: 1.858

Review 5.  Current molecular diagnostics of breast cancer and the potential incorporation of microRNA.

Authors:  Christine K Zoon; Elizabeth Q Starker; Arianne M Wilson; Michael R Emmert-Buck; Steven K Libutti; Michael A Tangrea
Journal:  Expert Rev Mol Diagn       Date:  2009-07       Impact factor: 5.225

6.  Alcohol intake and breast cancer in the European prospective investigation into cancer and nutrition.

Authors:  Isabelle Romieu; Chiara Scoccianti; Véronique Chajès; Jordi de Batlle; Carine Biessy; Laure Dossus; Laura Baglietto; Françoise Clavel-Chapelon; Kim Overvad; Anja Olsen; Anne Tjønneland; Rudolf Kaaks; Annekatrin Lukanova; Heiner Boeing; Antonia Trichopoulou; Pagona Lagiou; Dimitrios Trichopoulos; Domenico Palli; Sabina Sieri; Rosario Tumino; Paolo Vineis; Salvatore Panico; H B As Bueno-de-Mesquita; Carla H van Gils; Petra H Peeters; Eiliv Lund; Guri Skeie; Elisabete Weiderpass; José Ramón Quirós García; María-Dolores Chirlaque; Eva Ardanaz; María-José Sánchez; Eric J Duell; Pilar Amiano; Signe Borgquist; Elisabet Wirfält; Göran Hallmans; Ingegerd Johansson; Lena Maria Nilsson; Kay-Tee Khaw; Nick Wareham; Timothy J Key; Ruth C Travis; Neil Murphy; Petra A Wark; Pietro Ferrari; Elio Riboli
Journal:  Int J Cancer       Date:  2015-07-14       Impact factor: 7.396

7.  Micronutrients Involved in One-Carbon Metabolism and Risk of Breast Cancer Subtypes.

Authors:  Ilaria Cancarini; Vittorio Krogh; Claudia Agnoli; Sara Grioni; Giuseppe Matullo; Valeria Pala; Samuele Pedraglio; Paolo Contiero; Cristina Riva; Paola Muti; Sabina Sieri
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

8.  Update on triple-negative breast cancer: prognosis and management strategies.

Authors:  Olivier Brouckaert; Hans Wildiers; Giuseppe Floris; Patrick Neven
Journal:  Int J Womens Health       Date:  2012-09-24

9.  Adiposity, hormone replacement therapy use and breast cancer risk by age and hormone receptor status: a large prospective cohort study.

Authors:  Rebecca Ritte; Annekatrin Lukanova; Franco Berrino; Laure Dossus; Anne Tjønneland; Anja Olsen; Thure Filskov Overvad; Kim Overvad; Françoise Clavel-Chapelon; Agnès Fournier; Guy Fagherazzi; Sabine Rohrmann; Birgit Teucher; Heiner Boeing; Krasimira Aleksandrova; Antonia Trichopoulou; Pagona Lagiou; Dimitrios Trichopoulos; Domenico Palli; Sabina Sieri; Salvatore Panico; Rosario Tumino; Paolo Vineis; José Ramón Quirós; Genevieve Buckland; Maria-José Sánchez; Pilar Amiano; María-Dolores Chirlaque; Eva Ardanaz; Malin Sund; Per Lenner; Bas Bueno-de-Mesquita; Carla H van Gils; Petra Hm Peeters; Sanda Krum-Hansen; Inger Torhild Gram; Eiliv Lund; Kay-Tee Khaw; Nick Wareham; Naomi E Allen; Timothy J Key; Isabelle Romieu; Sabina Rinaldi; Afshan Siddiq; David Cox; Elio Riboli; Rudolf Kaaks
Journal:  Breast Cancer Res       Date:  2012-05-14       Impact factor: 6.466

10.  Effect of continuous statistically standardized measures of estrogen and progesterone receptors on disease-free survival in NCIC CTG MA.12 Trial and BC Cohort.

Authors:  Judith-Anne W Chapman; Torsten O Nielsen; Matthew J Ellis; Phillip Bernard; Stephen Chia; Karen A Gelmon; Kathleen I Pritchard; Aurelie Le Maitre; Paul E Goss; Samuel Leung; Lois E Shepherd; Vivien H C Bramwell
Journal:  Breast Cancer Res       Date:  2013       Impact factor: 6.466

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