Literature DB >> 2676151

Prognostic value of estrogen and progesterone receptors measured by enzyme immunoassays in human breast tumor cytosols.

J A Foekens1, H Portengen, W L van Putten, H A Peters, H L Krijnen, J Alexieva-Figusch, J G Klijn.   

Abstract

Clinically significant cut-off values to discriminate between receptor-positive and -negative, and the prognostic value of estrogen receptors (ER) and progesterone receptors (PgR) measured by enzyme immunoassay (EIA) have not yet been established. We have therefore measured ER and PgR by EIA in cytosols from 205 primary breast cancer biopsies. Clinically significant cut-off values (30 fmol/mg protein for ER; 27 fmol/mg protein for PgR), as related to tumor recurrence (median follow-up, 47 months), have been established by isotonic regression analysis. These data were compared to those obtained by simultaneously performed dextran-coated charcoal (DCC) assays (cut-off values: 18 fmol/mg protein for ER, and 26 fmol/mg protein for PgR) on the same cytosols, and to DCC assays performed previously (up to 10 years ago) on cytosols prepared from other parts of the tissue biopsies (cut-off values: 18 fmol/mg protein for ER, and 23 fmol/mg protein for PgR). Using the cut-off values for the EIA and the DCC assays performed on the same cytosols, the discrepancies between receptor status appeared less than 10% both for ER and for PgR. Furthermore, the concentrations of ER or PgR detected with the EIA or DCC assay were highly and significantly correlated (Spearman rank correlations: for ER, Rs = 0.94; for PgR, Rs = 0.88; P less than 0.0001). After classification in different phenotypes with respect to ER/PgR status (+/+, +/-, -/+, and -/-), analysis for relapse-free survival and overall survival showed equal prognostic power in the comparable groups in the order, from favorable to unfavorable, of +/+ greater than +/-(-/+) greater than -/- (chi2: P less than 0.0001), irrespective of the assay which has been used for quantification of the receptor. It is concluded that both the conventionally used DCC and the newly available EIA methods are equally useful for assessing ER and PgR status.

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Year:  1989        PMID: 2676151

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  31 in total

1.  Prognostic and Predictive Factors for Breast Cancer.

Authors: 
Journal:  Breast Cancer       Date:  1995-10-31       Impact factor: 4.239

2.  Comparison of ligand binding assay and enzyme immunoassay of oestrogen receptor in human breast cancer cytosols. Experience of the E.O.R.T.C. Receptor Group.

Authors:  M A Blankenstein
Journal:  Breast Cancer Res Treat       Date:  1990-12       Impact factor: 4.872

3.  Immunohistochemical study of androgen receptors in breast carcinoma. Evidence of their frequent expression in lobular carcinoma.

Authors:  Cristina Riva; Emanuele Dainese; Giacomo Caprara; Paolo Cossu Rocca; Giovanni Massarelli; Tibor Tot; Carlo Capella; Vincenzo Eusebi
Journal:  Virchows Arch       Date:  2005-10-19       Impact factor: 4.064

4.  Relevance of BCAR4 in tamoxifen resistance and tumour aggressiveness of human breast cancer.

Authors:  M F E Godinho; A M Sieuwerts; M P Look; D Meijer; J A Foekens; L C J Dorssers; T van Agthoven
Journal:  Br J Cancer       Date:  2010-09-21       Impact factor: 7.640

5.  Evaluation of the ability of adjuvant tamoxifen-benefit gene signatures to predict outcome of hormone-naive estrogen receptor-positive breast cancer patients treated with tamoxifen in the advanced setting.

Authors:  Anieta M Sieuwerts; Maria B Lyng; Marion E Meijer-van Gelder; Vanja de Weerd; Fred C G J Sweep; John A Foekens; Paul N Span; John W M Martens; Henrik J Ditzel
Journal:  Mol Oncol       Date:  2014-07-10       Impact factor: 6.603

6.  Somatostatin receptors in differentiated ovarian tumors.

Authors:  J C Reubi; U Horisberger; J G Klijn; J A Foekens
Journal:  Am J Pathol       Date:  1991-05       Impact factor: 4.307

7.  Four miRNAs associated with aggressiveness of lymph node-negative, estrogen receptor-positive human breast cancer.

Authors:  John A Foekens; Anieta M Sieuwerts; Marcel Smid; Maxime P Look; Vanja de Weerd; Antonius W M Boersma; Jan G M Klijn; Erik A C Wiemer; John W M Martens
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-28       Impact factor: 11.205

8.  Tumor tissue levels of Tissue Inhibitor of Metalloproteinases-1 (TIMP-1) and outcome following adjuvant chemotherapy in premenopausal lymph node-positive breast cancer patients: A retrospective study.

Authors:  Anne-Sofie Schrohl; Maxime P Look; Marion E Meijer-van Gelder; John A Foekens; Nils Brünner
Journal:  BMC Cancer       Date:  2009-09-10       Impact factor: 4.430

9.  CITED2 and NCOR2 in anti-oestrogen resistance and progression of breast cancer.

Authors:  T van Agthoven; A M Sieuwerts; J Veldscholte; M E Meijer-van Gelder; M Smid; A Brinkman; A T den Dekker; I M Leroy; W F J van Ijcken; S Sleijfer; J A Foekens; L C J Dorssers
Journal:  Br J Cancer       Date:  2009-11-10       Impact factor: 7.640

10.  Distinct inherited metastasis susceptibility exists for different breast cancer subtypes: a prognosis study.

Authors:  Szu-Min Hsieh; Maxime P Look; Anieta M Sieuwerts; John A Foekens; Kent W Hunter
Journal:  Breast Cancer Res       Date:  2009       Impact factor: 6.466

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