Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.
Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.
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DOI：
10.1002/hep.24813
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发表时间：
2012-05
期刊：
影响因子：
13.5
通讯作者：
Lee, Ju-Seog
中科院分区：
文献类型：
--
作者：
Kim, Soo Mi;Leem, Sun-Hee;Chu, In-Sun;Park, Yun-Yong;Kim, Sang Cheol;Kim, Sang-Bae;Park, Eun Sung;Lim, Jae Yun;Heo, Jeonghoon;Kim, Yoon Jun;Kim, Dae-Ghon;Kaseb, Ahmed;Park, Young Nyun;Wang, Xin Wei;Thorgeirsson, Snorri S.;Lee, Ju-Seog
预后基因表达标签的临床应用由于基因的大量和预测算法的复杂性而被延迟。在目前的研究中，我们的目标是开发一种易于使用的风险评分，其基因数量有限，可以可靠地预测HCC患者的预后。通过使用训练集（n=139）中65个基因的考克斯系数值来开发风险评分，并在测试集（n=292）中验证其稳健性。在第一个试验队列（P = 5.6 × 10-5，n = 100）和第二个试验队列（P = 5.0 × 10-5，n = 192）中，风险评分是总生存期（OS）的高度显著预测因子。在多变量分析中，风险评分是一起检查的临床变量中的显著风险因素（风险比[HR]，1.36; 95%置信区间[CI]，1.13-1.64; OS P = 0.001）。我们开发的风险评分分类器可以在多个数据集上以简单且高度可重复的方式在疾病的早期和晚期识别两种临床上不同的HCC亚型。
Clinical application of the prognostic gene expression signature has been delayed due to the large number of genes and complexity of prediction algorithms. In current study, we aim to develop an easy-to-use risk score with a limited number of genes that can robustly predict prognosis of patients with HCC. The risk score was developed by using Cox coefficient values of 65 genes in the training set (n=139) and its robustness was validated in test sets (n=292). The risk score was a highly significant predictor of overall survival (OS) in the first test cohort (P = 5.6 × 10-5, n = 100) and the second test cohort (P = 5.0 × 10-5, n = 192). In multivariate analysis, the risk score was significant risk factor among clinical variables examined together (hazard ratio [HR], 1.36; 95% confidential interval [CI], 1.13-1.64; P = 0.001 for OS). The risk score classifier we have developed can identify two clinically distinct HCC subtypes at early and late stage of the disease in a simple and highly reproducible manner across multiple data sets.
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影响因子：
1.9
作者：
Poon, Ronnie Tung-Ping;Fan, Sheung-Tat
通讯作者：
Fan, Sheung-Tat
影响因子：
13.5
作者：
CALVET, X;BRUIX, J;RODES, J
通讯作者：
RODES, J
DOI：
10.1056/nejmoa0804525
发表时间：
2008-11-06
期刊：
The New England journal of medicine
影响因子：
--
作者：
Hoshida Y;Villanueva A;Kobayashi M;Peix J;Chiang DY;Camargo A;Gupta S;Moore J;Wrobel MJ;Lerner J;Reich M;Chan JA;Glickman JN;Ikeda K;Hashimoto M;Watanabe G;Daidone MG;Roayaie S;Schwartz M;Thung S;Salvesen HB;Gabriel S;Mazzaferro V;Bruix J;Friedman SL;Kumada H;Llovet JM;Golub TR
通讯作者：
Golub TR
影响因子：
29.4
作者：
Lee, JS;Thorgeirsson, SS
通讯作者：
Thorgeirsson, SS
影响因子：
13.5
作者：
Boyault, Sandrine;Rickman, David S.;Zucman-Rossi, Jessica
通讯作者：
Zucman-Rossi, Jessica