A serum microRNA panel as potential biomarkers for hepatocellular carcinoma related with hepatitis B virus.
A serum microRNA panel as potential biomarkers for hepatocellular carcinoma related with hepatitis B virus.
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DOI:
10.1371/journal.pone.0107986
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Gan J
中科院分区:
文献类型:
--
作者:
Tan Y;Ge G;Pan T;Wen D;Chen L;Yu X;Zhou X;Gan J
The identification of new high-sensitivity and high-specificity markers for HCC are essential. We aimed to identify serum microRNAs (miRNAs) as biomarkers to be used in diagnosing hepatitis B virus (HBV) –related hepatocellular carcinoma (HCC). We investigated serum miRNA expression in (261 HCC patients, 233 cirrhosis patients, and 173 healthy controls), recruited between August 2010 and June 2013. An initial screening of miRNA expression by Illumina sequencing was performed using serum samples pooled from HCC patients and controls. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) was used to evaluate the expression of selected miRNAs. A logistic regression model was constructed using a training cohort (n = 357) and then validated using an independent cohort (n = 241). The area under the receiver operating characteristic curve (AUC) was used to evaluate the accuracy of the use of the biomarkers for disease diagnosis. We identified 8 miRNAs (hsa-miR-206, hsa-miR-141-3p, hsa-miR-433-3p, hsa-miR-1228-5p, hsa-miR-199a-5p, hsa-miR-122-5p, hsa-miR-192-5p, and hsa-miR-26a-5p) and constructed an miRNA set that provided high diagnostic accuracy for HCC (AUC = 0.887 and 0.879 for training and validation sets, respectively). The miRNAs could also be used to differentiate HCC patients from healthy (AUC = 0.893) and cirrhosis (AUC = 0.892) patients. We identified a serum of miRNA panel that has considerable clinical value in HCC diagnosis.
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影响因子:
13.5
作者:
Collier, J;Sherman, M
通讯作者:
Sherman, M
DOI:
10.1056/nejmoa0901282
发表时间:
2009-10-08
期刊:
The New England journal of medicine
影响因子:
--
作者:
Ji J;Shi J;Budhu A;Yu Z;Forgues M;Roessler S;Ambs S;Chen Y;Meltzer PS;Croce CM;Qin LX;Man K;Lo CM;Lee J;Ng IO;Fan J;Tang ZY;Sun HC;Wang XW
通讯作者:
Wang XW
影响因子:
4
作者:
Kutay, Huban;Bai, Shoumei;Ghoshal, Kalpana
通讯作者:
Ghoshal, Kalpana
影响因子:
3.7
作者:
Chen, Yan-Jie;Zhu, Ji-Min;Shen, Xi-Zhong
通讯作者:
Shen, Xi-Zhong
影响因子:
4.1
作者:
Chang, Jinhong;Nicolas, Emmanuelle;Taylor, John M
通讯作者:
Taylor, John M