A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma

被引:6
|
作者
Li, Linde [1 ,2 ]
Liang, Jiayu [1 ,2 ]
Song, Turun [1 ,2 ]
Yin, Saifu [1 ,2 ]
Zeng, Jun [1 ,2 ]
Zhong, Qiang [1 ,2 ]
Feng, Xiaobing [1 ,2 ]
Jia, Zihao [1 ,2 ]
Fan, Yu [1 ,2 ]
Wang, Xianding [1 ,2 ]
Lin, Tao [1 ,2 ]
机构
[1] Sichuan Univ, Inst Urol, West China Hosp, Dept Urol, Chengdu, Peoples R China
[2] Sichuan Univ, West China Hosp, Organ Transplantat Ctr, Chengdu, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
关键词
genitourinary sarcoma; histology; surgery; chemotherapy; prognosis; nomogram;
D O I
10.3389/fonc.2021.656325
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objectives The aim of this study is to evaluate the significant factors influencing the overall survival (OS) and recurrence free survival (RFS) and make an attempt to develop a nomogram for predicting the prognosis of patients with genitourinary sarcoma (GS). Methods Data on adult GS from 1985 to 2010 were collected. The impact of clinical factors on OS and RFS were estimated by Kaplan-Meier (KM) analysis, and differences between groups were analyzed by the log-rank test. To establish a nomogram, all patients were randomly divided into a training set (n = 125) and a testing set (n = 63). Cox proportion hazard model was utilized to assess the prognostic effect of variables. Then, a nomogram was established to estimate 1-, 3-, and 5-year OS based on Cox regression model. Subsequently, the nomogram was validated by a training set and a validation set. Results A total of 188 patients were enrolled into our study. Male patients with bladder sarcoma had better OS rather than RFS when stratified by gender (P = 0.022). According to histological subtypes, patients with leiomyosarcoma (LMS) undergoing chemotherapy were associated with favorable OS (P = 0.024) and RFS (P = 0.001). Furthermore, LMS in kidney sarcoma were associated with lower recurrence rate in comparison to rhabdomyosarcoma (RMS) (P = 0.043). Margin status after surgical excision markedly influenced the OS and RFS of GS patients and negative margins presented optimal prognosis. Chemotherapy was associated with improved OS for patients without surgery (P = 0.029) and patients with positive margins (P = 0.026). Based on the multivariate analysis of the training cohort, age, gender, surgery status, histological subtype, and chemotherapy were included in our nomogram for prediction of OS. The nomogram had sufficient power with concordance index (C-index) of OS: 0.770, 95%CI: 0.760-0.772 and area under curve (AUC) of OS: 0.759, 95%CI: 0.658-0.859 in the training set and with C-index of OS: 0.741, 95%CI: 0.740-0.765, and AUC of OS: 0.744, 95%CI: 0.576-0.913 in the validation set. Conclusions Adults GS is a group of extremely rare tumors with poor prognosis. Of all histological types, LMS is sensitive to chemotherapy. We highlighted the cardinal role of surgical resection and the importance of achieving negative margins. We identified the efficacy of chemotherapy for patients with positive margins and those without surgery as well. A nomogram is validated as an effective tool predicting short-term outcomes.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
    Liang, Jiaqi
    Sui, Qihai
    Zheng, Yuansheng
    Bi, Guoshu
    Chen, Zhencong
    Li, Ming
    Huang, Yiwei
    Lu, Tao
    Zhan, Cheng
    Guo, Weigang
    JOURNAL OF THORACIC DISEASE, 2020, 12 (05) : 2288 - +
  • [32] Development and validation of a gene expression-based nomogram to predict the prognosis of patients with cholangiocarcinoma
    Wang, Wei
    Wu, Chen
    Xu, Lijun
    Li, Peilin
    Wang, Kai
    Li, Guangbing
    Zhao, Shanshan
    Li, Yongsheng
    Fan, Xiaoyu
    Wang, Weifeng
    Hu, Meizhen
    Wu, Jing
    Xu, Shifeng
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (12) : 9577 - 9586
  • [33] The development and verification of nomogram to predict the survival prognosis of patients with esophageal squamous cell carcinoma
    Xiao, L.
    Li, T.
    ANNALS OF ONCOLOGY, 2020, 31 : S918 - S918
  • [34] An interactive nomogram based on clinical and molecular signatures to predict prognosis in multiple myeloma patients
    Liu, Linxin
    Qu, Jian
    Dai, Yuxin
    Qi, Tingting
    Teng, Xinqi
    Li, Guohua
    Qu, Qiang
    AGING-US, 2021, 13 (14): : 18442 - 18463
  • [35] A Nomogram to Predict Postoperative Morbidity After Resection of Retroperitoneal Sarcoma
    Burke, E. E.
    Boulware, D. C.
    Gonzalez, R. J.
    Mullinax, J. E.
    ANNALS OF SURGICAL ONCOLOGY, 2019, 26 : S55 - S55
  • [36] MRI radiomics to predict recurrence and prognosis in patients with soft-tissue sarcoma
    Cheung, Eva Y. W.
    Chu, Ellie Sm
    ANNALS OF ONCOLOGY, 2023, 34 : S1409 - S1409
  • [37] Serum lactate dehydrogenase levels predict the prognosis of patients with soft tissue sarcoma
    Fujibuchi, Taketsugu
    Imai, Hiroshi
    Kidani, Teruki
    Morino, Tadao
    Miura, Hiromasa
    MOLECULAR AND CLINICAL ONCOLOGY, 2022, 16 (03)
  • [38] Conditional survival nomogram for patients with colon mucinous adenocarcinoma to predict prognosis: a dynamic survival analysis
    Cai, Huajun
    Wang, Ye
    Li, Shoufeng
    Pan, Zhen
    Xu, Tianbao
    Wang, Yunjin
    Zhang, Yiyi
    Zhuang, Jinfu
    Liu, Xing
    Guan, Guoxian
    UPDATES IN SURGERY, 2024, 76 (06) : 2163 - 2171
  • [39] A novel nomogram integrated with PDL1 and CEA to predict the prognosis of patients with gastric cancer
    Di, Tian
    Lai, Yue-rong
    Luo, Qiu-yun
    Chen, Zhi-gang
    Du, Yong
    Lin, Run-duan
    Yang, Li-qiong
    Zhang, Lin
    Sun, Jian
    CLINICAL & TRANSLATIONAL ONCOLOGY, 2023, 25 (08): : 2472 - 2486
  • [40] A novel nomogram integrated with PDL1 and CEA to predict the prognosis of patients with gastric cancer
    Tian Di
    Yue-rong Lai
    Qiu-yun Luo
    Zhi-gang Chen
    Yong Du
    Run-duan Lin
    Li-qiong Yang
    Lin Zhang
    Jian Sun
    Clinical and Translational Oncology, 2023, 25 : 2472 - 2486