Literature DB >> 15550082

Oestrogen receptors revisited: long-term follow up of over five thousand breast cancer patients.

Roland Hähnel1, Katrina Spilsbury.   

Abstract

BACKGROUND: The oestrogen receptor status of a breast tumour predicts the response to hormonal treatment and is an important prognostic marker; women with oestrogen receptor positive tumours having a better short-term survival outcome.
METHODS: Kaplan-Meier estimates and Cox proportional hazard model were used to estimate the association between oestrogen receptor levels and long-term breast cancer-specific survival outcomes in 5735 women diagnosed with breast carcinoma from 1970 to 1997 in Western Australia. Further analysis was performed on a subset of women for whom biochemical and tumour characteristics were also available.
RESULTS: Five-year breast cancer-specific survival estimates for women with oestrogen receptor positive tumours was 0.85 (95% CI 0.84-86) compared to 0.72 (95% CI 0.70-74) for women with oestrogen receptor negative tumours. The relative survival advantage of an oestrogen positive tumour over oestrogen negative tumours disappeared by the fourth year (0.8, 95% CI 0.6-1.0). Conditional upon surviving 5 years, long-term breast cancer-specific survival was better for women with oestrogen receptor and progesterone receptor negative tumours compared to other women (log rank test P-value <0.05).
CONCLUSION: Despite an earlier survival advantage for women diagnosed with oestrogen receptor positive tumours, after 5 years of survival, women with oestrogen receptor negative and progesterone receptor negative tumours had better long-term survival outcomes from breast cancer compared to other women.

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Year:  2004        PMID: 15550082     DOI: 10.1111/j.1445-1433.2004.03215.x

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  3 in total

1.  Menopausal Hormone Therapy use and breast cancer risk by receptor subtypes: Results from the New South Wales Cancer Lifestyle and EvaluAtion of Risk (CLEAR) study.

Authors:  Usha Salagame; Emily Banks; Dianne L O'Connell; Sam Egger; Karen Canfell
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

2.  Young Patients with Hormone Receptor-Positive Breast Cancer Have a Higher Long-Term Risk of Breast Cancer Specific Death.

Authors:  Jianfei Fu; Chenhan Zhong; Lunpo Wu; Dan Li; Tiantian Xu; Ting Jiang; Jiao Yang; Jinlin Du
Journal:  J Breast Cancer       Date:  2019-03-11       Impact factor: 3.588

3.  Support Vector Machine classifier for estrogen receptor positive and negative early-onset breast cancer.

Authors:  Rosanna Upstill-Goddard; Diana Eccles; Sarah Ennis; Sajjad Rafiq; William Tapper; Joerg Fliege; Andrew Collins
Journal:  PLoS One       Date:  2013-07-19       Impact factor: 3.240

  3 in total

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