Literature DB >> 26650824

Clinical outcome and global gene expression data support the existence of the estrogen receptor-negative/progesterone receptor-positive invasive breast cancer phenotype.

Werner Schroth1,2, S Winter3,4, F Büttner3,4,5, S Goletz6, S Faißt7, F Brinkmann7, P Saladores3,4, E Heidemann7, G Ott8, A Gerteis9, M D Alscher10, J Dippon6, M Schwab3,4,11,5, H Brauch3,4,5, P Fritz3,8.   

Abstract

The presence or absence of estrogen and progesterone steroid hormone receptor expression (ER, PR) is an essential feature of invasive breast cancer and determines prognosis and endocrine treatment decisions. Among the four ER/PR receptor phenotypes, the ER-/PR+ is infrequent, and its clinical relevance has been controversially discussed. Thus, we investigated its clinical significance and gene expression pattern in large datasets. In a retrospective clinical study of 15,747 breast cancer patients, we determined the ER/PR subtype survival probabilities using Kaplan-Meier and Cox regression analyses. From The Cancer Genome Atlas (TCGA) breast cancer dataset, PAM50 expression signature and pathway analyses were performed to test for distinct molecular features. In our cohort, the ER-/PR+ phenotype has been observed at a frequency of 4.1 % and was associated with an improved 10-year survival for stage I cancers compared to the ER+/PR+ reference subtype (median; 95 % CI 88.1 %; 83-93 vs. 84.3 %; 82-86 %, P = 0.024) as was confirmed by multivariate analysis over the entire follow-up (HR 0.59, 95 % CI 0.38-0.92, P = 0.021). This association lacked significance when including all stages. ER-/PR+ patients treated with antihormonal agents (34.5 %) had shorter survival compared to their non-treated counterparts (Log-rank P = 0.0001). PAM50 signatures suggest a distinct configuration for the ER-/PR+ phenotype. This specific phenotype has been further separated by a set of 59 uniquely expressed genes. Our study supports the notion of the existence of an ER-/PR+ phenotype with clinical and molecular features distinct from the large group of ER+/PR+ patients.

Entities:  

Keywords:  Breast cancer; Endocrine treatment; Estrogen receptor subtype; Progesterone receptor subtype; TCGA

Mesh:

Substances:

Year:  2015        PMID: 26650824     DOI: 10.1007/s10549-015-3651-5

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  6 in total

1.  Breast cancer subtype discrimination using standardized 4-IHC and digital image analysis.

Authors:  Marina Gándara-Cortes; Ángel Vázquez-Boquete; Beatriz Fernández-Rodríguez; Patricia Viaño; Dora Ínsua; Alejandro Seoane-Seoane; Francisco Gude; Rosalía Gallego; Máximo Fraga; José R Antúnez; Teresa Curiel; Eva Pérez-López; Tomás García-Caballero
Journal:  Virchows Arch       Date:  2017-08-20       Impact factor: 4.064

2.  Prognostic Relevance of Estrogen Receptor Status in Circulating Tumor Cells in Breast Cancer Patients Treated With Endocrine Therapy.

Authors:  Ying Zhou; Jinmei Zhou; Jinyi Xiao; Yuehua Wang; Hao Wang; Haoyuan Shi; Chunyan Yue; Fei Jia; Ping Li; Zhiyuan Hu; Yanlian Yang; Zefei Jiang; Tao Wang
Journal:  Front Oncol       Date:  2022-04-28       Impact factor: 5.738

3.  Prognostic role of progesterone receptor expression in a population-based analysis.

Authors:  Adele Caldarella; Alessandro Barchielli
Journal:  J Cancer Res Clin Oncol       Date:  2017-09-09       Impact factor: 4.553

4.  Is oestrogen receptor-negative/progesterone receptor-positive (ER-/PR+) a real pathological entity?

Authors:  Adedayo A Onitilo; Jessica Engel; Adedayo O Joseph; Ya-Huei Li
Journal:  Ecancermedicalscience       Date:  2021-08-24

5.  Hormone Receptor Subtype in Ductal Carcinoma in Situ: Prognostic and Predictive Roles of the Progesterone Receptor.

Authors:  Ki-Tae Hwang; Young Jin Suh; Chan-Heun Park; Young Joo Lee; Jee Ye Kim; Jin Hyang Jung; Seeyeong Kim; Junwon Min
Journal:  Oncologist       Date:  2021-09-02

Review 6.  Oral Contraceptive Use and Breast Cancer Risk According to Molecular Subtypes Status: A Systematic Review and Meta-Analysis of Case-Control Studies.

Authors:  Agnieszka Barańska; Joanna Dolar-Szczasny; Wiesław Kanadys; Wiktoria Kinik; Dorota Ceglarska; Urszula Religioni; Robert Rejdak
Journal:  Cancers (Basel)       Date:  2022-01-23       Impact factor: 6.639

  6 in total

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