A Genomic-clinicopathologic Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer

被引:23
|
作者
Wu, Shao-Xu [1 ,5 ]
Huang, Jian [1 ]
Liu, Zhuo-Wei [2 ]
Chen, Hai-Ge [4 ]
Guo, Pi [6 ]
Cai, Qing-Qing [3 ]
Zheng, Jun-Jiong [1 ]
Qin, Hai-De [5 ]
Zheng, Zao-Song [1 ]
Chen, Xin [2 ]
Zhang, Rui-Yun [4 ]
Chen, Si-Liang [2 ]
Lin, Tian-Xin [1 ]
机构
[1] Sun Yat Sen Univ, Dept Urol, Sun Yat Sen Mem Hosp, Guangzhou 510120, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Dept Urol,Canc Ctr, Guangzhou 510120, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Dept Med Oncol,Canc Ctr, Guangzhou 510120, Guangdong, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Med, Renji Hosp, Dept Urol, Shanghai, Peoples R China
[5] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Guangdong Prov Key Lab Malignant Tumor Epigenet &, Res Ctr Med, Guangzhou, Guangdong, Peoples R China
[6] Shantou Univ, Dept Prevent Med, Med Coll, Shantou, Peoples R China
来源
EBIOMEDICINE | 2018年 / 31卷
基金
中国国家自然科学基金;
关键词
Genomics; Lymphatic metastasis; Nomogram; Urinary bladder neoplasms; POSITRON-EMISSION-TOMOGRAPHY; RADICAL CYSTECTOMY; NEOADJUVANT CHEMOTHERAPY; LYMPHADENECTOMY; OUTCOMES; DISSECTION; PROLIFERATION; EXPRESSION; CARCINOMA; SELECTION;
D O I
10.1016/j.ebiom.2018.03.034
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Preoperative lymph node (LN) status is important for the treatment of bladder cancer (BCa). Here, we report a genomic-clinicopathologic nomogram for preoperatively predicting LN metastasis in BCa. In the discovery stage, 325 BCa patients from TCGA were involved and LN-status-related mRNAs were selected. In the training stage, multivariate logistic regression analysis was used to developed a genomic-clinicopathologic nomogram for preoperative LN metastasis prediction in the training set (SYSMH set, n = 178). In the validation stage, we validated the nomogram using two independent sample sets (SYSUCC set, n = 142; RJH set, n = 104) with respect to its discrimination, calibration and clinical usefulness. As results, we identified five LN-status-related mRNAs, including ADRA1D, COL10A1, DKK2, HIST2H3D and MMP11. Then, a genomic classifier was developed to classify patients into high- and low-risk groups in the training set. Furthermore, a nomogram incorporating the five-mRNA-based classifier, image-based LN status, transurethral resection (TUR) T stage, and TUR lymphovascular invasion (LVI) was constructed in the training set, which performed well in the training and validation sets. Decision curve analysis demonstrated the clinical value of our nomogram. Thus, our genomic-clinicopathologic nomogram shows favorable discriminatory ability and may aid in clinical decision-making, especially for cN-patients. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:54 / 65
页数:12
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