British Journal of Cancer · 2013 · 190 citations · 38 references
MedicineEndocrinologyOncologyBreast OncologyGynecologic OncologyMolecular OncologyBreast Cancer OncologyBreast Cancer SurgeryBreast SurgeryHer2-positive Breast CancerHormonal Cancer TherapyHormonal TherapyBreast Cancer PrognosisDisease-free Survival AnalysisDisease-free Survival AssessmentHer2 ExpressionHormone Receptor - Positive Breast CancerProgesterone Receptor ExpressionProgesterone Receptor StatusProgesterone Receptors
BACKGROUND: Progesterone receptor (PR) expression assessment in early invasive breast cancer remains controversial. This study sought to re-evaluate PR expression as a potential therapeutic guide in early breast cancer; particularly in oestrogen receptor (ER)-positive, lymph node (LN)-negative disease. METHODS: A population cohort of 1074 patients presenting to a single Cancer Centre over 4 years (2000-2004) underwent surgery for primary invasive breast cancer with curative intent. Prospective data collection included patient demographics, pathology, ER and PR expression, HER2 status, adjuvant chemotherapy and endocrine therapy. Progesterone receptor expression was compared with (all causes) overall survival (OS), breast cancer-specific survival (BCSS) and disease-free survival (DFS). RESULTS: Overall survival was 71.0% and BCSS was 83.0% at median follow-up of 8.34 years. Absent PR expression was significantly associated with poorer prognosis for OS, BCSS and DFS (P<0.0001, log-rank), even within the ER-positive, LN-negative group (hazard ratio for BCSS 3.17, 95% CI 1.43-7.01) and was not influenced by endocrine therapy. Cox's regression analysis demonstrated that PR expression was an independent prognostic variable. CONCLUSION: Absence of PR expression is a powerful, independent prognostic variable in operable, primary breast cancer even in ER-positive, LN-negative patients receiving endocrine therapy. Absence of PR expression should be re-evaluated as a biomarker for poor prognosis in ER-positive breast cancer and such patients considered for additional systemic therapy.
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Gene expression profiling predicts clinical outcome of breast cancer
Laura van ‘t Veer, Hongyue Dai, Marc J. van de Vijver et al. · Nature · 2002 · 9.6K citations · Full text
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Marc J. van de Vijver, Yudong D. He, Laura van ‘t Veer et al. · New England Journal of Medicine · 2002 · 6.5K citations · Full text
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