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Short-term breast cancer survival in relation to ethnicity, stage, grade and receptor status: National cohort study in England

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Henrik Møller, Katherine Henson, Margreet Lüchtenborg, John Broggio, Jackie Charman, Victoria H. Coupland, Elizabeth Davies, Ruth H. Jack, Richard Sullivan, Peter Vedsted, Kieran Horgan, Neil Pearce, Arnie Purushotham

Original languageEnglish
Article numberEP-2016-1211R
Pages (from-to)1408-1415
Number of pages8
JournalBJC: British Journal of Cancer
Issue number11
Publication statusPublished - 22 Nov 2016


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Background:In the re-organisation of cancer registration in England in 2012, a high priority was given to the recording of cancer stage and other prognostic clinical data items.Methods:We extracted 86 852 breast cancer records for women resident in England and diagnosed during 2012-2013. Information on age, ethnicity, socio-economic status, comorbidity, tumour stage, grade, morphology and oestrogen, progesterone and HER2 receptor status was included. The two-year cumulative risk of death from any cause was estimated with the Kaplan-Meier method, and univariate and multivariate Cox proportional hazards regressions were used to estimate hazard ratios (HR) and their 95% confidence intervals (95% CI). The follow-up ended on 31 December 2014.Results:The completeness of registration for prognostic variables was generally high (around 80% or higher), but it was low for progesterone receptor status (41%). Women with negative receptor status for each of the oestrogen, progesterone and HER2 receptors (triple-negative cancers) had an adjusted HR for death of 2.00 (95%CI 1.84-2.17). Black women had an age-adjusted HR of 1.77 (1.48-2.13) compared with White women.Conclusions:The excess mortality of Black women with breast cancer has contributions from socio-economic factors, stage distribution and tumour biology. The study illustrates the richness of detail in the national cancer registration data. This allows for analysis of cancer outcomes at a high level of resolution, and may form the basis for risk stratification.

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