Cargando…
A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study
BACKGROUND: The impact of primary site surgery on survival remains controversial in female patients with stage IV breast cancer. The purpose of this study was to investigate the role of primary tumor surgery in patients with stage IV breast cancer and concurrently develop a nomogram to identify whic...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883058/ https://www.ncbi.nlm.nih.gov/pubmed/35237513 http://dx.doi.org/10.3389/fonc.2022.798016 |
_version_ | 1784659845143592960 |
---|---|
author | Wang, Ziqiong Chen, Bo Chen, Jiyang Wu, Zhixuan Gu, Hongyi Wang, Ying Dai, Xuanxuan |
author_facet | Wang, Ziqiong Chen, Bo Chen, Jiyang Wu, Zhixuan Gu, Hongyi Wang, Ying Dai, Xuanxuan |
author_sort | Wang, Ziqiong |
collection | PubMed |
description | BACKGROUND: The impact of primary site surgery on survival remains controversial in female patients with stage IV breast cancer. The purpose of this study was to investigate the role of primary tumor surgery in patients with stage IV breast cancer and concurrently develop a nomogram to identify which patients will benefit from surgery. METHODS: We retrospectively searched the SEER database for female patients newly diagnosed with stage IV breast infiltrating duct carcinoma (BIDC) between 2010 and 2015 and then divided them into surgery and non-surgery groups. The propensity score matching (PSM) method was implemented to eliminate the bias, and Kaplan–Meier survival analysis was generated to compare the overall survival (OS) and cancer-specific survival (CSS) between the two groups. After PSM, Cox regression analyses were performed to determine the independent protective value of primary tumor surgery, while logistic regression analyses were utilized to uncover significant predictors of surgical benefit and establish a screening nomogram for female patients with stage IV BIDC. Nomogram performance was evaluated by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). RESULT: 5,475 patients with stage IV BIDC were included in this study, and 2,375 patients (43.38%) received primary tumor surgery. After PSM, the median CSS was 53 months (95% CI: 46.84–59.16) in the surgery group compared with only 33 months (95% CI: 30.05–35.95) in the non-surgery group. We further found that primary tumor surgery was an independent protective factor for patients with stage IV BIDC. The independent factors affecting the benefit of locoregional surgery in patients with stage IV BIDC included histological grade, T stage, molecular subtype, lung metastasis, liver metastasis, brain metastasis, and marital status. The AUC of the nomogram was 0.785 in the training set and 0.761 in the testing set. The calibration curves and DCA confirmed that the nomogram could precisely predict the possibility of benefit from primary tumor resection. CONCLUSION: Our study suggested that primary tumor surgery improved the prognosis of female patients with stage IV BIDC and developed a nomogram to quantify the probability of surgical benefit to help identify surgical candidates clinically. |
format | Online Article Text |
id | pubmed-8883058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88830582022-03-01 A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study Wang, Ziqiong Chen, Bo Chen, Jiyang Wu, Zhixuan Gu, Hongyi Wang, Ying Dai, Xuanxuan Front Oncol Oncology BACKGROUND: The impact of primary site surgery on survival remains controversial in female patients with stage IV breast cancer. The purpose of this study was to investigate the role of primary tumor surgery in patients with stage IV breast cancer and concurrently develop a nomogram to identify which patients will benefit from surgery. METHODS: We retrospectively searched the SEER database for female patients newly diagnosed with stage IV breast infiltrating duct carcinoma (BIDC) between 2010 and 2015 and then divided them into surgery and non-surgery groups. The propensity score matching (PSM) method was implemented to eliminate the bias, and Kaplan–Meier survival analysis was generated to compare the overall survival (OS) and cancer-specific survival (CSS) between the two groups. After PSM, Cox regression analyses were performed to determine the independent protective value of primary tumor surgery, while logistic regression analyses were utilized to uncover significant predictors of surgical benefit and establish a screening nomogram for female patients with stage IV BIDC. Nomogram performance was evaluated by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). RESULT: 5,475 patients with stage IV BIDC were included in this study, and 2,375 patients (43.38%) received primary tumor surgery. After PSM, the median CSS was 53 months (95% CI: 46.84–59.16) in the surgery group compared with only 33 months (95% CI: 30.05–35.95) in the non-surgery group. We further found that primary tumor surgery was an independent protective factor for patients with stage IV BIDC. The independent factors affecting the benefit of locoregional surgery in patients with stage IV BIDC included histological grade, T stage, molecular subtype, lung metastasis, liver metastasis, brain metastasis, and marital status. The AUC of the nomogram was 0.785 in the training set and 0.761 in the testing set. The calibration curves and DCA confirmed that the nomogram could precisely predict the possibility of benefit from primary tumor resection. CONCLUSION: Our study suggested that primary tumor surgery improved the prognosis of female patients with stage IV BIDC and developed a nomogram to quantify the probability of surgical benefit to help identify surgical candidates clinically. Frontiers Media S.A. 2022-02-14 /pmc/articles/PMC8883058/ /pubmed/35237513 http://dx.doi.org/10.3389/fonc.2022.798016 Text en Copyright © 2022 Wang, Chen, Chen, Wu, Gu, Wang and Dai https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wang, Ziqiong Chen, Bo Chen, Jiyang Wu, Zhixuan Gu, Hongyi Wang, Ying Dai, Xuanxuan A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study |
title | A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study |
title_full | A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study |
title_fullStr | A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study |
title_full_unstemmed | A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study |
title_short | A Novel Nomogram Model to Identify Candidates and Predict the Possibility of Benefit From Primary Tumor Resection Among Female Patients With Metastatic Infiltrating Duct Carcinoma of the Breast: A Large Cohort Study |
title_sort | novel nomogram model to identify candidates and predict the possibility of benefit from primary tumor resection among female patients with metastatic infiltrating duct carcinoma of the breast: a large cohort study |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883058/ https://www.ncbi.nlm.nih.gov/pubmed/35237513 http://dx.doi.org/10.3389/fonc.2022.798016 |
work_keys_str_mv | AT wangziqiong anovelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT chenbo anovelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT chenjiyang anovelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT wuzhixuan anovelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT guhongyi anovelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT wangying anovelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT daixuanxuan anovelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT wangziqiong novelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT chenbo novelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT chenjiyang novelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT wuzhixuan novelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT guhongyi novelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT wangying novelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy AT daixuanxuan novelnomogrammodeltoidentifycandidatesandpredictthepossibilityofbenefitfromprimarytumorresectionamongfemalepatientswithmetastaticinfiltratingductcarcinomaofthebreastalargecohortstudy |