Cargando…
Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery
BACKGROUND: The prognosis of breast phyllodes tumors (PTs) largely depending on the pathological grading, which lacks objectivity. This study aimed to develop a nomogram based on clinicopathological features to evaluate the recurrence probability of PTs following surgery. METHODS: Data from 334 pati...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186749/ https://www.ncbi.nlm.nih.gov/pubmed/32355815 http://dx.doi.org/10.21037/atm.2020.02.26 |
_version_ | 1783527020688310272 |
---|---|
author | Chao, Xue Jin, Xiaoyan Tan, Cui Sun, Peng Cui, Junwei Hu, Hui Ouyang, Qian Chen, Kai Wu, Wei He, Zhanghai Nie, Yan Yao, Herui |
author_facet | Chao, Xue Jin, Xiaoyan Tan, Cui Sun, Peng Cui, Junwei Hu, Hui Ouyang, Qian Chen, Kai Wu, Wei He, Zhanghai Nie, Yan Yao, Herui |
author_sort | Chao, Xue |
collection | PubMed |
description | BACKGROUND: The prognosis of breast phyllodes tumors (PTs) largely depending on the pathological grading, which lacks objectivity. This study aimed to develop a nomogram based on clinicopathological features to evaluate the recurrence probability of PTs following surgery. METHODS: Data from 334 patients with breast PTs, who underwent surgical treatment at Sun Yat-sen Memorial Hospital from January 2005 to December 2014, were used to develop a prediction model. Additionally, data of 36 patients from Peking University Shenzhen Hospital (cohort 1) and data of 140 patients from Sun Yat-sen University Cancer Center (cohort 2) during the same period were used to validate the model. The medical records and tumor slides were retrospectively reviewed. The log-rank and Cox regression tests were used to develop a clinical prediction model of breast PTs. All statistical analyses were performed using R and STATA. RESULTS: Of all 334 patients included in the primary cohort, 224 had benign, 91 had borderline, and 19 had malignant tumors. The 1-, 3-, and 5-year recurrence-free survival was 98.5%, 97.9%, and 96.8%, respectively. Ultrasound-guided vacuum-assisted biopsy (UGVAB) is a non-inferior treatment application in benign PTs compared with open surgery [hazard ratio (HR), 2.38; 95% confidence interval (CI), 0.59–9.58]. Width of surgical margin, mitoses, and tumor border were identified as independent risk factors for breast PTs. A nomogram was developed based on these three variables. The C-index of internal and external validation was 0.71, 0.67 (cohort 1) and 0.73 (cohort 2), respectively. CONCLUSIONS: The study model presented more concise and objective variables to evaluate the recurrence-free survival of patients after surgery, which can help deciding whether to do a re-excision or “wait and watch”. |
format | Online Article Text |
id | pubmed-7186749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-71867492020-04-30 Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery Chao, Xue Jin, Xiaoyan Tan, Cui Sun, Peng Cui, Junwei Hu, Hui Ouyang, Qian Chen, Kai Wu, Wei He, Zhanghai Nie, Yan Yao, Herui Ann Transl Med Original Article BACKGROUND: The prognosis of breast phyllodes tumors (PTs) largely depending on the pathological grading, which lacks objectivity. This study aimed to develop a nomogram based on clinicopathological features to evaluate the recurrence probability of PTs following surgery. METHODS: Data from 334 patients with breast PTs, who underwent surgical treatment at Sun Yat-sen Memorial Hospital from January 2005 to December 2014, were used to develop a prediction model. Additionally, data of 36 patients from Peking University Shenzhen Hospital (cohort 1) and data of 140 patients from Sun Yat-sen University Cancer Center (cohort 2) during the same period were used to validate the model. The medical records and tumor slides were retrospectively reviewed. The log-rank and Cox regression tests were used to develop a clinical prediction model of breast PTs. All statistical analyses were performed using R and STATA. RESULTS: Of all 334 patients included in the primary cohort, 224 had benign, 91 had borderline, and 19 had malignant tumors. The 1-, 3-, and 5-year recurrence-free survival was 98.5%, 97.9%, and 96.8%, respectively. Ultrasound-guided vacuum-assisted biopsy (UGVAB) is a non-inferior treatment application in benign PTs compared with open surgery [hazard ratio (HR), 2.38; 95% confidence interval (CI), 0.59–9.58]. Width of surgical margin, mitoses, and tumor border were identified as independent risk factors for breast PTs. A nomogram was developed based on these three variables. The C-index of internal and external validation was 0.71, 0.67 (cohort 1) and 0.73 (cohort 2), respectively. CONCLUSIONS: The study model presented more concise and objective variables to evaluate the recurrence-free survival of patients after surgery, which can help deciding whether to do a re-excision or “wait and watch”. AME Publishing Company 2020-03 /pmc/articles/PMC7186749/ /pubmed/32355815 http://dx.doi.org/10.21037/atm.2020.02.26 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Chao, Xue Jin, Xiaoyan Tan, Cui Sun, Peng Cui, Junwei Hu, Hui Ouyang, Qian Chen, Kai Wu, Wei He, Zhanghai Nie, Yan Yao, Herui Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery |
title | Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery |
title_full | Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery |
title_fullStr | Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery |
title_full_unstemmed | Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery |
title_short | Re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery |
title_sort | re-excision or “wait and watch”—a prediction model in breast phyllodes tumors after surgery |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186749/ https://www.ncbi.nlm.nih.gov/pubmed/32355815 http://dx.doi.org/10.21037/atm.2020.02.26 |
work_keys_str_mv | AT chaoxue reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT jinxiaoyan reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT tancui reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT sunpeng reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT cuijunwei reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT huhui reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT ouyangqian reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT chenkai reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT wuwei reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT hezhanghai reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT nieyan reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery AT yaoherui reexcisionorwaitandwatchapredictionmodelinbreastphyllodestumorsaftersurgery |