Development, Validation, and Visualization of A Web-Based Nomogram for Predicting the Recurrence-Free Survival Rate of Patients With Desmoid Tumors

doi:10.3389/fonc.2021.634648

HFCAS OpenIR

	Development, Validation, and Visualization of A Web-Based Nomogram for Predicting the Recurrence-Free Survival Rate of Patients With Desmoid Tumors
	Liu, Haotian 1,2; Huang, Kai 3,4,5; Li, Tao 6; Yang, Tielong 1,2; Liao, Zhichao 1,2; Zhang, Chao 1,2; Xiang, Lijie 1,2; Chen, Yong 3,4; Yang, Jilong 1,2
	2021-02-25
发表期刊	FRONTIERS IN ONCOLOGY
ISSN	2234-943X
通讯作者	Chen, Yong(chenyong@fudan.edu.cn) ; Yang, Jilong(yangjilong@tjmuch.com)
摘要	Background Surgery is an important treatment option for desmoid tumor (DT) patients, but how to decrease and predict the high recurrence rate remains a major challenge. Methods Desmoid tumor patients diagnosed and treated at Tianjin Cancer Institute & Hospital were included, and a web-based nomogram was constructed by screening the recurrence-related risk factors using Cox regression analysis. External validation was conducted with data from the Fudan University Shanghai Cancer Center. Results A total of 385 patients were identified. Finally, after excluding patients without surgery, patients who were lost to follow-up, and patients without complete resection, a total of 267 patients were included in the nomogram construction. Among these patients, 53 experienced recurrence, with a recurrence rate of 20.15%. The 3-year and 5-year recurrence-free survival (RFS) rates were 82.5% and 78%, respectively. Age, tumor diameter, admission status, location, and tumor number were correlated with recurrence in univariate Cox analysis. In multivariate Cox analysis, only age, tumor diameter and tumor number were independent risk factors for recurrence and were then used to construct a web-based nomogram to predict recurrence. The concordance index (C-index) of the nomogram was 0.718, and the areas under the curves (AUCs) of the 3-year and 5-year receiver operating characteristic (ROC) curves were 0.751 and 0.761, respectively. In the external validation set, the C-index was 0.706, and the AUCs of the 3-year and 5-year ROC curves are 0.788 and 0.794, respectively. Conclusions Age, tumor diameter, and tumor number were independent predictors of recurrence for DTs, and a web-based nomogram containing these three predictors could accurately predict RFS (https://stepforward.shinyapps.io/Desmoidtumor/).
关键词	desmoid tumor recurrence prediction the web-based nomogram tumor number validation
DOI	10.3389/fonc.2021.634648
关键词[WOS]	PROGNOSTIC-FACTORS ; AGGRESSIVE FIBROMATOSIS ; RADIATION-THERAPY ; LOCAL RECURRENCE ; BETA-CATENIN ; SEE POLICY ; MANAGEMENT ; RESECTION ; OUTCOMES ; RADIOTHERAPY
收录类别	SCI
语种	英语
资助项目	Key Nature Science Foundation of Tianjin[18YFZCSY00550]
项目资助者	Key Nature Science Foundation of Tianjin
WOS研究方向	Oncology
WOS类目	Oncology
WOS记录号	WOS:000627326100001
出版者	FRONTIERS MEDIA SA
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/120983
专题	中国科学院合肥物质科学研究院
通讯作者	Chen, Yong; Yang, Jilong
作者单位	1.Tianjin Med Univ Canc Inst & Hosp, Dept Bone & Soft Tissue Tumor, Tianjin, Peoples R China 2.Tianjin Med Univ Canc Inst & Hosp, Natl Clin Res Ctr Canc, Tianjins Clin Res Ctr Canc, Key Lab Canc Prevent & Therapy, Tianjin, Peoples R China 3.Fudan Univ, Shanghai Canc Ctr, Dept Musculoskeletal Oncol, Shanghai, Peoples R China 4.Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China 5.HCA Healthcare USF Morsani Coll Med, Brandon Reg Hosp GME, Brandon, FL USA 6.Chinese Acad Sci, Univ Chinese Acad Sci, Zhejiang Canc Hosp,Canc Hosp, Dept Bone & Soft Tissue Tumor,Inst Canc & Basic M, Hangzhou, Peoples R China
推荐引用方式 GB/T 7714	Liu, Haotian,Huang, Kai,Li, Tao,et al. Development, Validation, and Visualization of A Web-Based Nomogram for Predicting the Recurrence-Free Survival Rate of Patients With Desmoid Tumors[J]. FRONTIERS IN ONCOLOGY,2021,11.
APA	Liu, Haotian.,Huang, Kai.,Li, Tao.,Yang, Tielong.,Liao, Zhichao.,...&Yang, Jilong.(2021).Development, Validation, and Visualization of A Web-Based Nomogram for Predicting the Recurrence-Free Survival Rate of Patients With Desmoid Tumors.FRONTIERS IN ONCOLOGY,11.
MLA	Liu, Haotian,et al."Development, Validation, and Visualization of A Web-Based Nomogram for Predicting the Recurrence-Free Survival Rate of Patients With Desmoid Tumors".FRONTIERS IN ONCOLOGY 11(2021).