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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....
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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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. |
format | Online Article Text |
id | pubmed-6132413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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