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O14 Optimising the management of primary breast cancer in older women
Author(s) -
Ruth Parks,
Andrew R. Green,
KwokLeung Cheung
Publication year - 2021
Publication title -
british journal of surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.202
H-Index - 201
eISSN - 1365-2168
pISSN - 0007-1323
DOI - 10.1093/bjs/znab282.019
Subject(s) - medicine , breast cancer , cohort , cancer , oncology , cohort study , biomarker , population , tissue microarray , biochemistry , chemistry , environmental health
The risk of breast cancer increases with age and our global population is ageing. By 2040 the number of breast cancer cases diagnosed per year worldwide will double and over 40% of these will be in patients aged 70 or over. Despite this, there are few treatment guidelines specific to breast cancer in older women and none which consider the unique biological differences of this cohort. Method Surgical and core needle biopsy (CNB) specimens were obtained from an existing series of 1,785 women over the age of 70 with primary breast cancer, treated in a single institution with long-term (37+ years) follow-up. Of this cohort, 813 had primary surgical treatment. As part of previous work, it was possible to construct good quality tissue microarrays (TMAs) in 575 surgical specimens and 693 CNB specimens. Immunohistochemical staining for 32 biomarkers has been performed in all of the available TMAs. Association between histological score for each biomarker and tumour size, grade, recurrence rate, breast cancer specific and overall survival is currently being investigated in the whole cohort. Results Results to date have revealed a unique biological cluster in older women with primary breast cancer that is not seen in a comparative younger cohort. In the future, bioinformatics analysis will determine which biomarkers and in what combination, can predict chance of recurrence/overall survival in this cohort. Conclusions This information will be used to create a prognostic tool specific to assist older women with decision making regarding primary treatment of breast cancer.

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