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

doi:10.3389/fonc.2022.798016

科研成果详情

题名	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
作者	Wang, Ziqiong1,2; Chen, Bo 2,3; Chen, Jiyang2; Wu, Zhixuan1; Gu, Hongyi2; Wang, Ying 2; Dai, Xuanxuan1
发表日期	2022-02-14
发表期刊	FRONTIERS IN ONCOLOGY 影响因子和分区
语种	英语
原始文献类型	Article
关键词	stage IV breast cancer propensity score matching surgery prognosis nomogram
其他关键词	CANCER STATISTICS ; IMPROVED SURVIVAL ; SURGERY ; GUIDELINES ; THERAPY ; DISEASE ; SITE
摘要	BackgroundThe 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. MethodsWe 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). Result5,475 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. ConclusionOur 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.
出版者	FRONTIERS MEDIA SA
出版地	LAUSANNE
ISSN	2234-943X
卷号	12 页码:798016
DOI	10.3389/fonc.2022.798016
页数	14
WOS类目	Oncology
WOS研究方向	Oncology
WOS记录号	WOS:000761699100001
收录类别	SCIE ; PUBMED ; SCOPUS
URL	查看原文
PubMed ID	35237513
PMC记录号	PMC8883058
SCOPUSEID	2-s2.0-85125400815
通讯作者地址	[Dai, Xuanxuan]Department of Thyroid and Breast Surgery,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
Scopus学科分类	Oncology;Cancer Research
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/1162
专题	第一临床医学院（信息与工程学院）、附属第一医院附属第一医院_肝胆外科
通讯作者	Dai, Xuanxuan
作者单位	1.Department of Thyroid and Breast Surgery,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China; 2.The First Clinical College,Wenzhou Medical University,Wenzhou,China; 3.Department of Hepatobiliary Surgery,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
第一作者单位	附属第一医院; 第一临床医学院（信息与工程学院）、附属第一医院
通讯作者单位	附属第一医院; 第一临床医学院（信息与工程学院）、附属第一医院
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Wang, Ziqiong,Chen, Bo,Chen, Jiyang,et al. 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[J]. FRONTIERS IN ONCOLOGY,2022,12:798016.
APA	Wang, Ziqiong., Chen, Bo., Chen, Jiyang., Wu, Zhixuan., Gu, Hongyi., ... & Dai, Xuanxuan. (2022). 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. FRONTIERS IN ONCOLOGY, 12, 798016.
MLA	Wang, Ziqiong,et al."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".FRONTIERS IN ONCOLOGY 12(2022):798016.