Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data

被引:33
作者
Shen, Lujun [1 ,2 ]
Zeng, Qi [3 ]
Guo, Pi [4 ]
Huang, Jingjun [5 ]
Li, Chaofeng [2 ,6 ]
Pan, Tao [7 ]
Chang, Boyang [1 ,2 ]
Wu, Nan [8 ]
Yang, Lewei [3 ]
Chen, Qifeng [1 ,2 ]
Huang, Tao [1 ,2 ]
Li, Wang [1 ,2 ]
Wu, Peihong [1 ,2 ]
机构
[1] Sun Yat Sen Univ, Dept Minimally Invas Intervent Therapy, Canc Ctr, Guangzhou 510060, Guangdong, Peoples R China
[2] Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Guangzhou 510060, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 5, Dept Radiat Oncol, Zhuhai 519000, Guangdong, Peoples R China
[4] Shantou Univ Med Coll, Dept Prevent Med, Shantou 515063, Guangdong, Peoples R China
[5] Guangzhou Med Univ, Affiliated Hosp 2, Dept Minimally Invas Intervent Radiol, Guangzhou 510260, Guangdong, Peoples R China
[6] Sun Yat Sen Univ, Canc Ctr, Informat Ctr, Guangzhou 510060, Guangdong, Peoples R China
[7] Sun Yat Sen Univ, Affiliated Hosp 3, Dept Vasc Intervent Radiol, Guangzhou 510530, Guangdong, Peoples R China
[8] Mem Univ Newfoundland, Dept Family Med, St John, NF A1C 5S7, Canada
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
TO-EVENT; MODELS; CANCER;
D O I
10.1038/s41467-018-04633-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Patients with hepatocellular carcinoma (HCC) always require routine surveillance and repeated treatment, which leads to accumulation of huge amount of clinical data. A predictive model utilizes the time-series data to facilitate dynamic prognosis prediction and treatment planning is warranted. Here we introduced an analytical approach, which converts the timeseries data into a cascading survival map, in which each survival path bifurcates at fixed time interval depending on selected prognostic features by the Cox-based feature selection. We apply this approach in an intermediate-scale database of patients with BCLC stage B HCC and get a survival map consisting of 13 different survival paths, which is demonstrated to have superior or equal value than conventional staging systems in dynamic prognosis prediction from 3 to 12 months after initial diagnosis in derivation, internal testing, and multicentric testing cohorts. This methodology/model could facilitate dynamic prognosis prediction and treatment planning for patients with HCC in the future.
引用
收藏
页数:10
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