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Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations

INTRODUCTION: Patients with sporadic breast cancer (BC) have low contralateral breast cancer risk (CLBCR; approximately 0.7% per annum) and contralateral prophylactic mastectomy (CPM) offers no survival advantage. CPM with autologous reconstruction (AR) has major morbidity and resource implications....

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Autores principales: de Silva, Tania Samantha, Russell, Victoria Rose, Henry, Francis Patrick, Thiruchelvam, Paul Thomas Ryan, Hadjiminas, Dimitri John, Al-Mufti, Ragheed, Hogben, Roselyn Katy, Hunter, Judith, Wood, Simon, Jallali, Navid, Leff, Daniel Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132413/
https://www.ncbi.nlm.nih.gov/pubmed/30019305
http://dx.doi.org/10.1245/s10434-018-6593-4
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author de Silva, Tania Samantha
Russell, Victoria Rose
Henry, Francis Patrick
Thiruchelvam, Paul Thomas Ryan
Hadjiminas, Dimitri John
Al-Mufti, Ragheed
Hogben, Roselyn Katy
Hunter, Judith
Wood, Simon
Jallali, Navid
Leff, Daniel Richard
author_facet de Silva, Tania Samantha
Russell, Victoria Rose
Henry, Francis Patrick
Thiruchelvam, Paul Thomas Ryan
Hadjiminas, Dimitri John
Al-Mufti, Ragheed
Hogben, Roselyn Katy
Hunter, Judith
Wood, Simon
Jallali, Navid
Leff, Daniel Richard
author_sort de Silva, Tania Samantha
collection PubMed
description INTRODUCTION: Patients with sporadic breast cancer (BC) have low contralateral breast cancer risk (CLBCR; approximately 0.7% per annum) and contralateral prophylactic mastectomy (CPM) offers no survival advantage. CPM with autologous reconstruction (AR) has major morbidity and resource implications. OBJECTIVE: The aim of this study was to review the impact of PREDICT survival estimates and lifetime CLBCR scores on decision making for CPM in patients with unilateral BC. METHODS: Of n = 272 consecutive patients undergoing mastectomy and AR, 252 were included. Five- and 10-year survival was computed with the PREDICT(V2) online prognostication tool, using age and clinicopathological factors. Based on family history (FH) and tumor biology, CLBCR was calculated using validated BODICEA web-based software. Survival scores were correlated against CLBCR estimates to identify patients receiving CPM with ‘low’ CLBCR (< 30% lifetime risk) and poor prognosis (5-year survival < 80%). Patients with ‘high’ CLBCR receiving unilateral mastectomy (UM) were similarly identified (UK National Institute of Health and Care Excellence [NICE] criteria for CPM, ≥ 30% lifetime BC risk). Justifications motivating CPM were investigated. RESULTS: Of 252 patients, 215 had UM and 37 had bilateral mastectomy and AR. Only 23 (62%) patients receiving CPM fulfilled the NICE criteria. Of 215 patients, 5 (2.3%) failed to undergo CPM despite high CLBCR and good prognosis. CPMs were performed, at the patient’s request, for no clear justification (n = 8), contralateral non-invasive disease, and/or FH (n = 5), FH alone (n = 4) and ipsilateral cancer recurrence-related anxiety (n = 3). CONCLUSION: In the absence of prospective risk estimates of CLBCR and prognosis, certain patients receive CPM and reconstruction despite modest CLBCR, yet a proportion of patients with good prognoses and substantial risk are not undergoing CPM.
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spelling pubmed-61324132018-09-14 Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations de Silva, Tania Samantha Russell, Victoria Rose Henry, Francis Patrick Thiruchelvam, Paul Thomas Ryan Hadjiminas, Dimitri John Al-Mufti, Ragheed Hogben, Roselyn Katy Hunter, Judith Wood, Simon Jallali, Navid Leff, Daniel Richard Ann Surg Oncol Breast Oncology INTRODUCTION: Patients with sporadic breast cancer (BC) have low contralateral breast cancer risk (CLBCR; approximately 0.7% per annum) and contralateral prophylactic mastectomy (CPM) offers no survival advantage. CPM with autologous reconstruction (AR) has major morbidity and resource implications. OBJECTIVE: The aim of this study was to review the impact of PREDICT survival estimates and lifetime CLBCR scores on decision making for CPM in patients with unilateral BC. METHODS: Of n = 272 consecutive patients undergoing mastectomy and AR, 252 were included. Five- and 10-year survival was computed with the PREDICT(V2) online prognostication tool, using age and clinicopathological factors. Based on family history (FH) and tumor biology, CLBCR was calculated using validated BODICEA web-based software. Survival scores were correlated against CLBCR estimates to identify patients receiving CPM with ‘low’ CLBCR (< 30% lifetime risk) and poor prognosis (5-year survival < 80%). Patients with ‘high’ CLBCR receiving unilateral mastectomy (UM) were similarly identified (UK National Institute of Health and Care Excellence [NICE] criteria for CPM, ≥ 30% lifetime BC risk). Justifications motivating CPM were investigated. RESULTS: Of 252 patients, 215 had UM and 37 had bilateral mastectomy and AR. Only 23 (62%) patients receiving CPM fulfilled the NICE criteria. Of 215 patients, 5 (2.3%) failed to undergo CPM despite high CLBCR and good prognosis. CPMs were performed, at the patient’s request, for no clear justification (n = 8), contralateral non-invasive disease, and/or FH (n = 5), FH alone (n = 4) and ipsilateral cancer recurrence-related anxiety (n = 3). CONCLUSION: In the absence of prospective risk estimates of CLBCR and prognosis, certain patients receive CPM and reconstruction despite modest CLBCR, yet a proportion of patients with good prognoses and substantial risk are not undergoing CPM. Springer International Publishing 2018-07-17 2018 /pmc/articles/PMC6132413/ /pubmed/30019305 http://dx.doi.org/10.1245/s10434-018-6593-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Breast Oncology
de Silva, Tania Samantha
Russell, Victoria Rose
Henry, Francis Patrick
Thiruchelvam, Paul Thomas Ryan
Hadjiminas, Dimitri John
Al-Mufti, Ragheed
Hogben, Roselyn Katy
Hunter, Judith
Wood, Simon
Jallali, Navid
Leff, Daniel Richard
Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations
title Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations
title_full Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations
title_fullStr Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations
title_full_unstemmed Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations
title_short Streamlining Decision Making in Contralateral Risk-Reducing Mastectomy: Impact of PREDICT and BOADICEA Computations
title_sort streamlining decision making in contralateral risk-reducing mastectomy: impact of predict and boadicea computations
topic Breast Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132413/
https://www.ncbi.nlm.nih.gov/pubmed/30019305
http://dx.doi.org/10.1245/s10434-018-6593-4
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