Literature DB >> 3943040

The predictive value of estrogen and progesterone receptors' concentrations on the clinical behavior of breast cancer in women. Clinical correlation on 547 patients.

L Vollenweider-Zerargui, L Barrelet, Y Wong, T Lemarchand-Béraud, F Gómez.   

Abstract

The aims of this study were as follows: to confirm that the presence of estrogen (ER) and progesterone (PgR) receptors is an indicator of clinical behavior of human breast cancer independent of other known prognostic factors; to seek clinical correlates of those receptor values that best predict the overall disease evolution; and to determine the relative prognostic importance of PgR versus ER. The clinical records of 547 patients, the follow-up of some extending to 6 years, were analyzed in retrospect. Patients were placed into one of four disease stages and also in three groups according to the degree of axillary node involvement. In each group the prognostic value of receptors for patient survival, disease-free interval and, in case of metastasis or local recurrence, the response to endocrine treatment or chemotherapy were studied. The break point in the spectrum of receptor concentrations with regard to survival, disease-free interval, and response to treatment was greater than or equal to 20 for ER+, greater than or equal to 15 for PgR+, and less than 5 for both ER- and PgR- reported in fmol/mg protein. Survival and disease-free interval showed positive correlations with ER and PgR (P less than 0.001-less than 0.0003). When disease stage or node involvement were considered, these correlations were found essentially in Stage II and node involvement in more than three nodes, where patients had longer survival and disease-free interval if ER and PgR were positive (P less than 0.05-less than 0.0003). Estrogen receptor was a more sensitive prognostic indicator than PgR, and the combination ER+/PgR+ showed a correlation equivalent to ER+/PgR-. The correct prediction percentages of the response of patients to endocrine treatment were 77% if ER+, 69% if PgR+, and 79% if both ER+ and PgR+. However, the correct prediction percentage of the response to chemotherapy was of 50%. These results show that ER and PgR are prognostic factors for survival and disease-free interval mainly on patients at Stage II and node involvement of greater than three, with ER demonstrating a better predictive value than PgR. The measurement of these receptors provides a prognostic index for response to endocrine therapy but is without value in predicting the response to chemotherapy.

Entities:  

Mesh:

Substances:

Year:  1986        PMID: 3943040     DOI: 10.1002/1097-0142(19860315)57:6<1171::aid-cncr2820570618>3.0.co;2-x

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  33 in total

Review 1.  Characterizing tumors using metabolic imaging: PET imaging of cellular proliferation and steroid receptors.

Authors:  D A Mankoff; F Dehdashti; A F Shields
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

Review 2.  Clinical pharmacokinetics of endocrine agents used in advanced breast cancer.

Authors:  P E Lønning; E A Lien; S Lundgren; S Kvinnsland
Journal:  Clin Pharmacokinet       Date:  1992-05       Impact factor: 6.447

3.  A model of acquired autoresistance to a potent ErbB2 tyrosine kinase inhibitor and a therapeutic strategy to prevent its onset in breast cancer.

Authors:  Wenle Xia; Sarah Bacus; Priti Hegde; Intisar Husain; Jay Strum; Leihua Liu; Georgina Paulazzo; Ljuba Lyass; Patricia Trusk; Jason Hill; Jennifer Harris; Neil L Spector
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-08       Impact factor: 11.205

4.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

5.  A prospective analysis of immunohistochemically determined hormone receptors and nuclear features as predictors of early recurrence in primary breast cancer.

Authors:  M Stierer; H Rosen; R Weber; H Hanak; L Auerbach; J Spona; H Tüchler
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

Review 6.  Receptor Occupancy Imaging Studies in Oncology Drug Development.

Authors:  Ingrid J G Burvenich; Sagun Parakh; Adam C Parslow; Sze Ting Lee; Hui K Gan; Andrew M Scott
Journal:  AAPS J       Date:  2018-03-08       Impact factor: 4.009

7.  Vav3 oncogene is upregulated and a poor prognostic factor in breast cancer patients.

Authors:  Xin Chen; S I Chen; Xiao-An Liu; Wen-Bin Zhou; Rui-Rui Ma; Lin Chen
Journal:  Oncol Lett       Date:  2015-03-02       Impact factor: 2.967

8.  Proliferative index of breast carcinoma by thymidine labeling: prognostic power independent of stage, estrogen and progesterone receptors.

Authors:  J S Meyer; M Province
Journal:  Breast Cancer Res Treat       Date:  1988-10       Impact factor: 4.872

9.  Progesterone receptor determined by immunocytochemical and biochemical methods in human breast cancer.

Authors:  G Gasparini; F Pozza; R Dittadi; S Meli; S Cazzavillan; P Bevilacqua
Journal:  J Cancer Res Clin Oncol       Date:  1992       Impact factor: 4.553

10.  Estrogen receptors in 699 primary breast cancers: a comparison of immunohistochemical and biochemical methods.

Authors:  A Molino; R Micciolo; M Turazza; F Bonetti; Q Piubello; A Corgnati; L Sperotto; G Martignoni; A Bonetti; R Nortilli
Journal:  Breast Cancer Res Treat       Date:  1995-06       Impact factor: 4.872

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.