Literature DB >> 23154769

Hormone receptor expression in invasive breast cancer among Korean women and comparison of 3 antiestrogen receptor antibodies: a multi-institutional retrospective study using tissue microarrays.

Young Kyung Bae1, Gyungyub Gong, Jun Kang, Ahwon Lee, Eun Yoon Cho, Ji Shin Lee, Kwang-Sun Suh, Dong Wha Lee.   

Abstract

Estrogen receptor (ER) and progesterone receptor (PR) are prognostic markers of breast cancer and predictive markers of response to endocrine therapy. To determine rates of ER and PR expression in invasive breast carcinoma among Korean women, the Breast Pathology Study Group of the Korean Society of Pathologists collected 1198 specimens of invasive breast carcinoma from 6 university hospitals. Immunohistochemical analysis was carried out using 1 antibody against PR and 3 antibodies against ER (1D5, 6F11, and SP1). Specimens were evaluated using the semiquantitative Allred score (scores >2 were considered positive). A total of 1077 cases were interpretable for all 3 anti-ER antibodies. ER expression was positive in 68.5% of cases using SP1, in 59.6% using 1D5, and in 58.9% using 6F11. Of 1073 interpretable cases, PR expression was positive in 51.7% of cases. The frequency distribution of Allred scores revealed a bimodal pattern (complete absence of staining or staining in most cells) for both ER and PR. Patients with discordant results for 2 different ER antibodies showed a median overall survival (between that of double-positive cancer and that of double-negative cancer). Our results showed that the rate of hormone receptor expression in breast carcinomas among Korean patients did not differ from that of western patients. In addition, SP1 was the most sensitive antibody for identifying ER expression in tumors. However, further evaluation is needed to determine which antibody is the best for selecting patients with discordant results who are likely to respond to endocrine therapy.

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Year:  2012        PMID: 23154769     DOI: 10.1097/PAS.0b013e318267b012

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  6 in total

1.  Heme Binding Biguanides Target Cytochrome P450-Dependent Cancer Cell Mitochondria.

Authors:  Zhijun Guo; Irina F Sevrioukova; Ilia G Denisov; Xia Zhang; Ting-Lan Chiu; Dafydd G Thomas; Eric A Hanse; Rebecca A D Cuellar; Yelena V Grinkova; Vanessa Wankhede Langenfeld; Daniel S Swedien; Justin D Stamschror; Juan Alvarez; Fernando Luna; Adela Galván; Young Kyung Bae; Julia D Wulfkuhle; Rosa I Gallagher; Emanuel F Petricoin; Beverly Norris; Craig M Flory; Robert J Schumacher; M Gerard O'Sullivan; Qing Cao; Haitao Chu; John D Lipscomb; William M Atkins; Kalpna Gupta; Ameeta Kelekar; Ian A Blair; Jorge H Capdevila; John R Falck; Stephen G Sligar; Thomas L Poulos; Gunda I Georg; Elizabeth Ambrose; David A Potter
Journal:  Cell Chem Biol       Date:  2017-09-14       Impact factor: 8.116

2.  Breast Tissue Composition and Immunophenotype and Its Relationship with Mammographic Density in Women at High Risk of Breast Cancer.

Authors:  Jia-Min B Pang; David J Byrne; Elena A Takano; Nicholas Jene; Lara Petelin; Joanne McKinley; Catherine Poliness; Christobel Saunders; Donna Taylor; Gillian Mitchell; Stephen B Fox
Journal:  PLoS One       Date:  2015-06-25       Impact factor: 3.240

3.  Comparison of diagnostic sensitivity of [18F]fluoroestradiol and [18F]fluorodeoxyglucose positron emission tomography/computed tomography for breast cancer recurrence in patients with a history of estrogen receptor-positive primary breast cancer.

Authors:  Sun Young Chae; Hye Joo Son; Dong Yun Lee; Eonwoo Shin; Jungsu S Oh; Seung Yeon Seo; Sora Baek; Ji Young Kim; Sae Jung Na; Dae Hyuk Moon
Journal:  EJNMMI Res       Date:  2020-05-24       Impact factor: 3.138

4.  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

5.  Developing a risk prediction model for breast cancer: a Statistical Utility to Determine Affinity of Neoplasm (SUDAN-CA Breast).

Authors:  Alaaddin M Salih; Dafallah M Alam-Elhuda; Musab M Alfaki; Adil E Yousif; Momin M Nouradyem
Journal:  Eur J Med Res       Date:  2017-09-29       Impact factor: 2.175

6.  SP1 Expression and the Clinicopathological Features of Tumors: A Meta-Analysis and Bioinformatics Analysis.

Authors:  Yue Gao; Kai Gan; Kuangzheng Liu; Bin Xu; Ming Chen
Journal:  Pathol Oncol Res       Date:  2021-01-28       Impact factor: 3.201

  6 in total

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