Circulation long non-coding RNAs act as biomarkers for predicting tumorigenesis and metastasis in hepatocellular carcinoma.
Circulation long non-coding RNAs act as biomarkers for predicting tumorigenesis and metastasis in hepatocellular carcinoma.
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循环长链非编码RNA作为预测肝细胞癌肿瘤发生和转移的生物标志物
DOI：
10.18632/oncotarget.2934
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发表时间：
2015-02-28
期刊：
影响因子：
--
通讯作者：
Sun B
中科院分区：
文献类型：
--
作者：
Tang J;Jiang R;Deng L;Zhang X;Wang K;Sun B
BACKGROUND & AIMS Alpha Fetal Protein (AFP) was one of the traditional biomarker for diagnosis of Hepatocellular carcinoma (HCC) clinically, however, with the low specificity of AFP, the early diagnosis or the metastasis prediction of HCC is inferior. A new, minimally invasive and more specificity biomarker for the diagnosis or metastasis prediction of HCC are necessary. METHODS In this study, we applied an lncRNA microarray to screen the potential biomarker for HCC. The multi-stage validation and risk score formula detection was used for validation. RESULTS We discovered three lncRNA, RP11–160H22.5, XLOC_014172 and LOC149086, which were up-regulated in HCC comparing with the cancer-free controls with the merged area under curve (AUC) in training set and validation set of 0.999 and 0.896. Furthermore, XLOC_014172 and LOC149086 was confirmed highly increased in metastasis HCC patients with the merged AUC in training set and validation set of 0.900 and 0.934. Besides, most patients presented a decreased level of the three lncRNAs after operation, while the patients with secondary increased level might be associated with tumor hematogenous metastasis. CONCLUSIONS RP11–160H22.5, XLOC_014172 and LOC149086 might be the potential biomarker for the tumorigenesis prediction and XLOC_014172 and LOC149086 for metastasis prediction in the future.
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影响因子：
2
作者：
Antoniewicz, Artur A.;Paziewska, Agnieszka;Mikula, Michal;Goryca, Krzysztof;Dabrowska, Michalina;Poletajew, Slawomir;Borowka, Andrzej;Ostrowski, Jerzy
通讯作者：
Ostrowski, Jerzy
影响因子：
3.7
作者：
Reis EM;Verjovski-Almeida S
通讯作者：
Verjovski-Almeida S
影响因子：
24.5
作者：
Li J;Chen Z;Tian L;Zhou C;He MY;Gao Y;Wang S;Zhou F;Shi S;Feng X;Sun N;Liu Z;Skogerboe G;Dong J;Yao R;Zhao Y;Sun J;Zhang B;Yu Y;Shi X;Luo M;Shao K;Li N;Qiu B;Tan F;Chen R;He J
通讯作者：
He J
影响因子：
--
作者：
Tang, Weibing;Qin, Jingjing;Xu, Xiaoqun
通讯作者：
Xu, Xiaoqun
影响因子：
2.4
作者：
Tang, Weibing;Tang, Junwei;Wang, Xinru
通讯作者：
Wang, Xinru