Literature DB >> 6850609

Progesterone and estrogen receptors as prognostic variables in breast cancer.

B H Mason, I M Holdaway, P R Mullins, L H Yee, R G Kay.   

Abstract

Estrogen receptor (ER) and progesterone receptor (PR) levels have been measured in 374 tumors from patients with primary breast cancer and compared with axillary nodal status and other patient variables to determine their relationship to prognosis. Nodal status reliably predicted disease-free interval and overall survival, and both ER and PR status predicted overall survival both individually and within node-positive and node-negative subgroups. PR but not ER status was also able to predict disease-free survival both overall and in the node-positive subgroup. When the two receptor measurements were used in combination, a group of receptor-negative, (ER- and PR-negative), node-negative patients were identified with a significantly worse survival than that for an ER- and PR-positive group of node-positive patients. It is apparent that receptor status provides useful prognostic information in patients with early breast cancer and that ER and PR assays used in combination identify a subgroup of node-negative patients with poor prognosis who are likely to benefit from adjuvant therapy following mastectomy.

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Year:  1983        PMID: 6850609

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


  38 in total

Review 1.  Node negative breast cancer.

Authors:  S M O'Reilly; M A Richards
Journal:  BMJ       Date:  1990-02-10

2.  Biological indices in the assessment of breast cancer.

Authors:  A S Leong; A K Lee
Journal:  Clin Mol Pathol       Date:  1995-10

Review 3.  Steroid hormone receptors as prognostic markers in breast cancer.

Authors:  Maggie C Louie; Mary B Sevigny
Journal:  Am J Cancer Res       Date:  2017-08-01       Impact factor: 6.166

4.  Disease-free interval and estrogen receptor activity in tumor tissue of patients with primary breast cancer: analysis after long-term follow-up.

Authors:  J M Raemaekers; L V Beex; A J Koenders; G F Pieters; A G Smals; T J Benraad; P W Kloppenborg
Journal:  Breast Cancer Res Treat       Date:  1985       Impact factor: 4.872

5.  Prediction of nodal spread of breast cancer by using artificial neural network-based analyses of S100A4, nm23 and steroid receptor expression.

Authors:  S R Grey; S S Dlay; B E Leone; F Cajone; G V Sherbet
Journal:  Clin Exp Metastasis       Date:  2003       Impact factor: 5.150

6.  Influence of height, weight, and obesity on breast cancer incidence and recurrence in Auckland, New Zealand.

Authors:  R K McNee; B H Mason; L M Neave; R G Kay
Journal:  Breast Cancer Res Treat       Date:  1987       Impact factor: 4.872

7.  Immuno-biochemical assay for determination of nuclear steroid receptors during tamoxifen therapy.

Authors:  A Vering; A Vockel; M Stegmüller; H G Bender
Journal:  J Cancer Res Clin Oncol       Date:  1993       Impact factor: 4.553

8.  Ki67: a time-varying biomarker of risk of breast cancer in atypical hyperplasia.

Authors:  Marta Santisteban; Carol Reynolds; Emily G Barr Fritcher; Marlene H Frost; Robert A Vierkant; Stephanie S Anderson; Amy C Degnim; Daniel W Visscher; V Shane Pankratz; Lynn C Hartmann
Journal:  Breast Cancer Res Treat       Date:  2009-09-23       Impact factor: 4.872

9.  Estradiol and progesterone receptors in breast cancer: prognostic value after relapse.

Authors:  J Bonneterre; D Horner; J P Peyrat; B Vandewalle; L Cambier; A Demaille
Journal:  Breast Cancer Res Treat       Date:  1985       Impact factor: 4.872

10.  Seasonal variation in breast cancer detection: correlation with tumour progesterone receptor status.

Authors:  B H Mason; I M Holdaway; P R Mullins; R G Kay; S J Skinner
Journal:  Breast Cancer Res Treat       Date:  1985       Impact factor: 4.872

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