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The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients

BACKGROUND: Since numerous retrospective studies and prospective trials have shown divergent results, whether the surgical excision of the primary tumor results in survival benefits for de novo stage IV breast cancer patients is inconclusive. Consequently, we need a prediction model of prognosis, ju...

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Autores principales: Liu, Xinran, Wang, Chengshi, Feng, Yu, Shen, Chaoyong, He, Tao, Wang, Zhu, Ma, Linjie, Du, Zhenggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346227/
https://www.ncbi.nlm.nih.gov/pubmed/35935562
http://dx.doi.org/10.21037/gs-22-330
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author Liu, Xinran
Wang, Chengshi
Feng, Yu
Shen, Chaoyong
He, Tao
Wang, Zhu
Ma, Linjie
Du, Zhenggui
author_facet Liu, Xinran
Wang, Chengshi
Feng, Yu
Shen, Chaoyong
He, Tao
Wang, Zhu
Ma, Linjie
Du, Zhenggui
author_sort Liu, Xinran
collection PubMed
description BACKGROUND: Since numerous retrospective studies and prospective trials have shown divergent results, whether the surgical excision of the primary tumor results in survival benefits for de novo stage IV breast cancer patients is inconclusive. Consequently, we need a prediction model of prognosis, judge the efficiency of breast surgery, and identify the advanced breast cancer patients who would benefit from surgery. METHODS: We analyzed the data of 2,747 metastatic breast cancer patients (the surgery group) and 4,508 patients (the non-surgery group) from the Surveillance, Epidemiology, and End Results (SEER) database during 2010–2015. Propensity score matching (PSM) was used to attain a balance between the covariates of both groups. We then assessed the potential risk factors for the breast cancer-specific survival (BCSS) of patients in the non-surgery group by Cox regression and constructed a nomogram to predict BCSS. All the patients were classified into different risk groups based on the median risk score obtained from the nomogram. The hazard ratios of BCSS and overall survival (OS) of patients in the two groups were calculated. RESULTS: After PSM, 2,288 patients severally in the two groups (the surgery group and the non-surgery group) were enrolled in the study. A nomogram incorporating 13 potential risk factors (i.e., age, race, cohabitation status, income, tumor grade, histotype, tumor size, lymph node status, molecular subtype, metastasis to brain, liver, lung, and chemotherapy) was constructed using the data of patients in the non-surgery group. The C statistics for the internal (patients in the non-surgery group) and external (patients in the surgery group) validation of the nomogram were 0.70 [95% confidence interval (CI), 0.69–0.71] and 0.73 (95% CI, 0.72–0.74), respectively. In the low-risk group, patients in the surgery group had lower risks of breast cancer-specific mortality (BCSM) (hazard ratio =0.53; 95% CI, 0.47–0.59; P for interaction =0.014) and overall mortality (OM) (hazard ratio =0.52; 95% CI, 0.46–0.58; P for interaction =0.002) than those in the non-surgery group. CONCLUSIONS: Breast surgery might improve the survival of metastatic breast cancer patients in the low-risk group. The established nomogram could provide a reference for clinicians in enabling personalized treatment among advanced breast cancer patients.
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spelling pubmed-93462272022-08-04 The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients Liu, Xinran Wang, Chengshi Feng, Yu Shen, Chaoyong He, Tao Wang, Zhu Ma, Linjie Du, Zhenggui Gland Surg Original Article BACKGROUND: Since numerous retrospective studies and prospective trials have shown divergent results, whether the surgical excision of the primary tumor results in survival benefits for de novo stage IV breast cancer patients is inconclusive. Consequently, we need a prediction model of prognosis, judge the efficiency of breast surgery, and identify the advanced breast cancer patients who would benefit from surgery. METHODS: We analyzed the data of 2,747 metastatic breast cancer patients (the surgery group) and 4,508 patients (the non-surgery group) from the Surveillance, Epidemiology, and End Results (SEER) database during 2010–2015. Propensity score matching (PSM) was used to attain a balance between the covariates of both groups. We then assessed the potential risk factors for the breast cancer-specific survival (BCSS) of patients in the non-surgery group by Cox regression and constructed a nomogram to predict BCSS. All the patients were classified into different risk groups based on the median risk score obtained from the nomogram. The hazard ratios of BCSS and overall survival (OS) of patients in the two groups were calculated. RESULTS: After PSM, 2,288 patients severally in the two groups (the surgery group and the non-surgery group) were enrolled in the study. A nomogram incorporating 13 potential risk factors (i.e., age, race, cohabitation status, income, tumor grade, histotype, tumor size, lymph node status, molecular subtype, metastasis to brain, liver, lung, and chemotherapy) was constructed using the data of patients in the non-surgery group. The C statistics for the internal (patients in the non-surgery group) and external (patients in the surgery group) validation of the nomogram were 0.70 [95% confidence interval (CI), 0.69–0.71] and 0.73 (95% CI, 0.72–0.74), respectively. In the low-risk group, patients in the surgery group had lower risks of breast cancer-specific mortality (BCSM) (hazard ratio =0.53; 95% CI, 0.47–0.59; P for interaction =0.014) and overall mortality (OM) (hazard ratio =0.52; 95% CI, 0.46–0.58; P for interaction =0.002) than those in the non-surgery group. CONCLUSIONS: Breast surgery might improve the survival of metastatic breast cancer patients in the low-risk group. The established nomogram could provide a reference for clinicians in enabling personalized treatment among advanced breast cancer patients. AME Publishing Company 2022-07 /pmc/articles/PMC9346227/ /pubmed/35935562 http://dx.doi.org/10.21037/gs-22-330 Text en 2022 Gland Surgery. 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
Liu, Xinran
Wang, Chengshi
Feng, Yu
Shen, Chaoyong
He, Tao
Wang, Zhu
Ma, Linjie
Du, Zhenggui
The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients
title The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients
title_full The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients
title_fullStr The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients
title_full_unstemmed The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients
title_short The prognostic role of surgery and a nomogram to predict the survival of stage IV breast cancer patients
title_sort prognostic role of surgery and a nomogram to predict the survival of stage iv breast cancer patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346227/
https://www.ncbi.nlm.nih.gov/pubmed/35935562
http://dx.doi.org/10.21037/gs-22-330
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