2020
DOI: 10.1007/s40487-020-00123-3
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The Potential Use of Tumour-Based Prognostic and Predictive Tools in Older Women with Primary Breast Cancer: A Narrative Review

Abstract: A move is under way towards personalised cancer treatment, where tumour biology of an individual patient is examined to give unique predictive and prognostic information. This is extremely important in the setting of older women, who have treatment-specific goals which may differ from their younger counterparts, and may include conservation of quality of life rather than curative intent of treatment. One method employed to assist with this is the use of tumour-based prognostic and predictive tools. This articl… Show more

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Cited by 3 publications
(2 citation statements)
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References 63 publications
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“…The use of other genetic profiling tools, such as the Breast Cancer Index, PAM50, Prosigna and Endopredict as prognostic or predictive tools in the older patient population has not been validated as of yet, either [18]. The prognostic ability of the Oncotype Dx has been validated in older patients with HR+ breast cancer [19].…”
Section: Discussionmentioning
confidence: 99%
“…The use of other genetic profiling tools, such as the Breast Cancer Index, PAM50, Prosigna and Endopredict as prognostic or predictive tools in the older patient population has not been validated as of yet, either [18]. The prognostic ability of the Oncotype Dx has been validated in older patients with HR+ breast cancer [19].…”
Section: Discussionmentioning
confidence: 99%
“…Current predictive and prognostic tools available on the market for example Oncotype DX [ 11 ], a genomic test and Adjuvant! Online [ 12 ], which uses standard clinico-pathological features, are focussed towards adjuvant rather than primary treatment and recruitment of older women in their conception is lacking [ 13 ]. These existing tools were developed from patients undergoing primary surgery following which they were used to determine prognosis and as such, potential benefit from adjuvant therapies.…”
Section: Introductionmentioning
confidence: 99%