Literature DB >> 30603996

Association between breast cancer risk factors and molecular type in postmenopausal patients with hormone receptor-positive early breast cancer.

Marius Wunderle1, Jutta Pretscher1, Sara Y Brucker2, Bernhard Volz1, Arndt Hartmann3, Cornelia Fiessler4, Alexander Hein1, Lothar Häberle1, Sebastian M Jud1, Michael P Lux1, Wolfgang Janni5, Christian R Loehberg1, Andreas D Hartkopf2, Christina B Walter2, Gerold Baake6, Alexander Fridman7,8, Wolfram Malter7, Rachel Wuerstlein9, Nadia Harbeck9, Oliver Hoffmann10, Sherko Kümmel11, Bernhard Martin12, Christoph Thomssen13, Heiko Graf14, Christopher Wolf15, Christian M Bayer1, Carolin C Hack1, Katrin Almstedt16, Paul Gass1, Felix Heindl1, Tobias F Brodkorb1, Naiba Nabieva1, Christoph Lindner17, Hans-Christian Kolberg18, Petra Krabisch19, Michael Weigel20, Dieter Steinfeld-Birg21, Andreas Kohls22, Cosima Brucker23, Volker Schulz24, Gunnar Fischer25, Volker Pelzer26, Diethelm Wallwiener2, Brigitte Rack5, Tanja Fehm27, Achim Rody28, Nicolai Maass29, Matthias W Beckmann1, Peter A Fasching30, Claudia Rauh1.   

Abstract

PURPOSE: Evidence shows that genetic and non-genetic risk factors for breast cancer (BC) differ relative to the molecular subtype. This analysis aimed to investigate associations between epidemiological risk factors and immunohistochemical subtypes in a cohort of postmenopausal, hormone receptor-positive BC patients.
METHODS: The prospective, single-arm, multicenter phase IV PreFace study (Evaluation of Predictive Factors Regarding the Effectivity of Aromatase Inhibitor Therapy) included 3529 postmenopausal patients with hormone receptor-positive early BC. Data on their epidemiological risk factors were obtained from patients' diaries and their medical histories. Data on estrogen receptor, progesterone receptor, and HER2 receptor status were obtained from pathology reports. Patients with incomplete information were excluded. Data were analyzed using conditional inference regression analysis, analysis of variance, and the chi-squared test.
RESULTS: In a cohort of 3392 patients, the strongest association with the molecular subtypes of BC was found for hormone replacement therapy (HRT) before diagnosis of early BC. The analysis showed that patients who took HRT at diagnosis had luminal A-like BC more often (83.7%) than those who had never taken HRT or had stopped taking it (75.5%). Luminal B-like BC and HER2-positive BC were diagnosed more often in women who had never taken HRT or had stopped taking it (13.3% and 11.2%, respectively) than in women who were taking HRT at diagnosis of BC (8.3% and 8.0%, respectively).
CONCLUSIONS: This analysis shows an association between HRT and the distribution of molecular subtypes of BC. However, no associations between other factors (e.g., age at diagnosis, body mass index, smoking status, age at menopause, number of deliveries, age at first delivery, breastfeeding history, or family history) were noted.

Entities:  

Keywords:  Breast cancer; Hormone replacement therapy; Molecular subtype; Prognosis; Risk factors

Mesh:

Substances:

Year:  2019        PMID: 30603996     DOI: 10.1007/s10549-018-05115-6

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


  2 in total

1.  The distribution of reproductive risk factors disclosed the heterogeneity of receptor-defined breast cancer subtypes among Tanzanian women.

Authors:  Linus P Rweyemamu; Gokce Akan; Ismael C Adolf; Erick P Magorosa; Innocent J Mosha; Nazima Dharsee; Lucy A Namkinga; Sylvester L Lyantagaye; Abdolrahman S Nateri; Fatmahan Atalar
Journal:  BMC Womens Health       Date:  2021-12-20       Impact factor: 2.809

2.  Expression of CYB5D2 is associated with epithelial-mesenchymal transition and survival rates in patients with cervical cancer.

Authors:  Dongxue Li; Bing Qiu; Xiaohang Chen; Liang Hu; Lijuan Wen; Fengxiang Wei
Journal:  Transl Cancer Res       Date:  2020-02       Impact factor: 1.241

  2 in total

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