Web-Based Nomograms for Overall Survival and Cancer-Specific Survival of Bladder Cancer Patients with Bone Metastasis: A Retrospective Cohort Study from SEER Database

被引:2
|
作者
Yang, Sheng [1 ,2 ]
Zhou, Hongmin [3 ]
Feng, Chaobo [1 ,2 ]
Xu, Ningze [4 ]
Fan, Yunshan [1 ,2 ]
Zhou, Zhi [1 ,2 ]
Xu, Yunfei [3 ]
Fan, Guoxin [5 ,6 ,7 ]
Liao, Xiang [5 ]
He, Shisheng [1 ,2 ]
机构
[1] Tongji Univ, Shanghai Peoples Hosp 10, Dept Orthoped, Sch Med, Shanghai 200072, Peoples R China
[2] Tongji Univ, Spinal Pain Res Inst, Sch Med, Shanghai 200072, Peoples R China
[3] Tongji Univ, Shanghai Peoples Hosp 10, Dept Urol, Sch Med, Shanghai 200072, Peoples R China
[4] Tongji Univ, Shanghai Peoples Hosp 10, Dept Obstet & Gynecol, Sch Med, Shanghai 200072, Peoples R China
[5] Huazhong Univ Sci & Technol, Union Shenzhen Hosp, Natl Key Clin Pain Med China, Shenzhen 518052, Peoples R China
[6] Shenzhen Univ, Sch Biomed Engn, Guangdong Key Lab Biomed Measurements & Ultrasound, Hlth Sci Ctr, Shenzhen 518060, Peoples R China
[7] Sun Yat sen Univ, Affiliated Hosp 3, Dept Spine Surg, Guangzhou 510630, Peoples R China
基金
中国国家自然科学基金;
关键词
SEER; prognostic factor; bladder cancer; bone metastasis; survival prediction; nomogram; PROGNOSTIC VALUE; PATTERN; CELLS;
D O I
10.3390/jcm12020726
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Our study aimed to explore the prognostic factors of bladder cancer with bone metastasis (BCBM) and develop prediction models to predict the overall survival (OS) and cancer-specific survival (CSS) of BCBM patients. Methods: A total of 1438 patients with BCBM were obtained from the SEER database. Patients from 2010 to 2016 were randomly divided into training and validation datasets (7:3), while patients from 2017 were divided for external testing. Nomograms were established using prognostic factors identified through Cox regression analyses and validated internally and externally. The concordance index (C-index), calibration plots, and time-dependent receiver operating characteristic (ROC) curves were used to evaluate the discrimination and calibration of nomogram models, while decision curve analyses (DCA) and Kaplan-Meier (KM) curves were used to estimate the clinical applicability. Results: Marital status, tumor metastasis (brain, liver, and lung), primary site surgery, and chemotherapy were indicated as independent prognostic factors for OS and CSS. Calibration plots and the overall C-index showed a novel agreement between the observed and predicted outcomes. Nomograms revealed significant advantages in OS and CSS predictions. AUCs for internal and external validation were listed as follows: for OS, 3-month AUCs were 0.853 and 0.849; 6-month AUCs were 0.873 and 0.832; 12-month AUCs were 0.825 and 0.805; for CSS, 3-month AUCs were 0.849 and 0.847; 6-month AUCs were 0.870 and 0.824; 12-month AUCs were 0.815 and 0.797, respectively. DCA curves demonstrated good clinical benefit, and KM curves showed distinct stratification performance. Conclusion: The nomograms as web-based tools were proved to be accurate, efficient, and clinically beneficial, which might help in patient management and clinical decision-making for BCBM patients.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Nomograms predicting the overall and cancer-specific survival of patients with buccal mucosa cancer
    Wang, Kenie
    Zhang, Hanbin
    Wei, Qingqian
    Chen, Ying
    Qin, Lingling
    ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, 2022, 134 (02): : 220 - 229
  • [42] A Nomogram Predicting the Overall Survival and Cancer-Specific Survival in Patients with Parathyroid Cancer: A Retrospective Study
    Tao, Mei
    Luo, Shuyan
    Wang, Xiaoming
    Jia, Meng
    Lu, Xiubo
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
  • [43] Nomograph of cancer-specific survival in elderly patients with endometrial cancer based on SEER database
    Ma, Fanghua
    Huang, Jiesheng
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2025, 51 (01)
  • [44] Cancer-specific survival and metastasis in pancreatic mucinous cystadenocarcinoma: A SEER-based cohort study
    Wang, Ruobing
    Su, Dan
    Liu, Yueze
    Qiu, Jiangdong
    Cao, Zhe
    Yang, Gang
    Luo, Wenhao
    Tao, Jinxin
    Zhang, Taiping
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [45] Neoadjuvant and adjuvant chemotherapy share equivalent efficacy in improving overall survival and cancer-specific survival among muscle invasive bladder cancer patients who undergo radical cystectomy: a retrospective cohort study based on SEER database
    Tan, Zhiping
    Chen, Zhenhua
    Yao, Gaoshen
    Mumin, Mukhtar Adan
    Wang, Yinghan
    Zhu, Jiangquan
    Xu, Quanhui
    Chen, Wei
    Liang, Hui
    Wang, Zhu
    Deng, Qiong
    Luo, Junhang
    Wei, Jinhuan
    Cao, Jiazheng
    TRANSLATIONAL ANDROLOGY AND UROLOGY, 2023, 12 (02) : 330 - 346
  • [46] Development and Validation of Novel Nomograms to Predict the Overall Survival and Cancer-Specific Survival of Cervical Cancer Patients With Lymph Node Metastasis
    Yi, Jianying
    Liu, Zhili
    Wang, Lu
    Zhang, Xingxin
    Pi, Lili
    Zhou, Chunlei
    Mu, Hong
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [47] Prognostic nomograms to predict overall survival and cancer-specific survival in patients with pelvic chondrosarcoma
    Chen, Li
    Long, Cheng
    Liu, Jiaxin
    Duan, Xin
    Xiang, Zhou
    CANCER MEDICINE, 2019, 8 (12): : 5438 - 5449
  • [48] Development and validation of two nomograms for predicting overall survival and Cancer-specific survival in prostate cancer patients with bone metastases: a population-based study
    Li, Baochao
    Xing, Jiajun
    Wang, Zhongyuan
    Gong, Zixuan
    Wang, Zengjun
    Xu, Aiming
    BMC UROLOGY, 2023, 23 (01)
  • [49] Development and validation of two nomograms for predicting overall survival and Cancer-specific survival in prostate cancer patients with bone metastases: a population-based study
    Baochao Li
    Jiajun Xing
    Zhongyuan Wang
    Zixuan Gong
    Zengjun Wang
    Aiming Xu
    BMC Urology, 23
  • [50] Application of nomograms to predict overall and cancer-specific survival in patients with chordoma
    Zheng Weipeng
    Huang Yuanping
    Guan Tianwang
    Lu Songfang
    Yao Liquan
    Wu Senrui
    Chen Haoyi
    Wang Ning
    Liang YingJie
    Xiao Wende
    Jiang Xin
    Wen Shifeng
    JOURNAL OF BONE ONCOLOGY, 2019, 18