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Optimisation of quantitative miRNA panels to consolidate the diagnostic surveillance of HBV-related hepatocellular carcinoma.

ABSTRACT: Circulating microRNAs (miRNA) are biomarkers for several neoplastic diseases, including hepatocellular carcinoma (HCC). We performed a literature search, followed by experimental screening and validation in order to establish a miRNA panel in combination with the assessment of alpha-fetoprotein (AFP) levels and to evaluate its performance in HCC diagnostics.Expression of miRNAs was quantified by quantitative PCR (qPCR) in 406 serum samples from 118 Vietnamese patients with hepatitis B (HBV)-related HCC, 69 patients with HBV-related liver cirrhosis (LC), 100 chronic hepatitis B (CHB) patients and 119 healthy controls (HC).Three miRNAs (mir-21, mir-122, mir-192) were expressed differentially among the studied subgroups and positively correlated with AFP levels. The individual miRNAs mir-21, mir-122, mir192 or the triplex miRNA panel showed high diagnostic accuracy for HCC (HCC vs. CHB, AUC = 0.906; HCC vs. CHB+LC, AUC = 0.81; HCC vs. CHB+LC+HC, AUC = 0.854). When AFP levels were ?20ng/ml, the triplex miRNA panel still was accurate in distinguishing HCC from the other conditions (CHB, AUC = 0.922; CHB+LC, AUC = 0.836; CHB+LC+HC, AUC = 0.862). When AFP levels were used in combination with the triplex miRNA panel, the diagnostic performance was significantly improved in discriminating HCC from the other groups (LC, AUC = 0.887; CHB, AUC = 0.948; CHB+LC, AUC = 0.887).The three miRNAs mir-21, mir-122, mir-192, together with AFP, are biomarkers that may be applied to improve diagnostics of HCC in HBV patients, especially in HBV-related LC patients with normal AFP levels or HCC patients with small tumor sizes.

SUBMITTER: Tat Trung N

PROVIDER: S-EPMC5908085 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Optimisation of quantitative miRNA panels to consolidate the diagnostic surveillance of HBV-related hepatocellular carcinoma.

Tat Trung Ngo N Duong Dang Chieu DC Tong Hoang Van HV Hien Tran Thi Thu TTT Hoan Phan Quoc PQ Bang Mai Hong MH Binh Mai Thanh MT Ky Thai Doan TD Tung Nguyen Lam NL Thinh Nguyen Tien NT Sang Vu Viet VV Thao Le Thi Phuong LTP Bock C-Thomas CT Velavan Thirumalaisamy P TP Meyer Christian G CG Song Le Huu LH Toan Nguyen Linh NL

PloS one 20180419 4

<h4>Background</h4>Circulating microRNAs (miRNA) are biomarkers for several neoplastic diseases, including hepatocellular carcinoma (HCC). We performed a literature search, followed by experimental screening and validation in order to establish a miRNA panel in combination with the assessment of alpha-fetoprotein (AFP) levels and to evaluate its performance in HCC diagnostics.<h4>Methods</h4>Expression of miRNAs was quantified by quantitative PCR (qPCR) in 406 serum samples from 118 Vietnamese p ...[more]

PMID: 29672637

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Project description:Background: Hepatocellular carcinoma (HCC) is a main cause of malignancy-related death all over the world with a poor prognosis. The current research is focused on developing novel prognostic and diagnostic models of Hepatocellular carcinoma from the perspective of hepatitis B virus (HBV)-related genes, and predicting its prognostic characteristics and potential reliable biomarkers for Hepatocellular carcinoma diagnosis. Methods: As per the information related to Hepatocellular carcinoma expression profile and the clinical data in multiple public databases, we utilized limma for assessing the differentially expressed genes (DEGs) in HBV vs non- hepatitis B virus groups, and the gene set was enriched, analyzed and annotated by WebGestaltR package. Then, STRING was employed to investigate the protein interactions. A risk model for evaluating Hepatocellular carcinoma prognosis was built with Lasso Cox regression analysis. The effect patients receiving immunotherapy was predicted using Tumor Immune Dysfunction and Exclusion (TIDE). Additionally, pRRophetic was used to investigate the drug sensitivity. Lastly, the Support Vector Machine (SVM) approach was utilized for building the diagnostic model. Results: The Hepatocellular Carcinoma Molecular Atlas 18 (HCCDB18) data set was utilized for the identification of 1344 HBV-related differentially expressed genes, mainly associated with cell division activities. Five functional modules were established and then we built a prognostic model in accordance with the protein-protein interaction (PPI) network. Five HBV-related genes affecting prognosis were identified for constructing a prognostic model. Then, the samples were assigned into RS-high and -low groups as per their relevant prognostic risk score (RS). High-risk group showed worse prognosis, higher mutation rate of TP53, lower sensitivity to immunotherapy but higher response to chemotherapeutic drugs than low-risk group. Finally, the hepatitis B virus diagnostic model of Hepatocellular carcinoma was established. Conclusion: In conclusion, the prognostic and diagnostic models of hepatitis B virus gene-related Hepatocellular carcinoma were constructed. ABCB6, IPO7, TIMM9, FZD7, and ACAT1, the five HBV-related genes that affect the prognosis, can work as reliable biomarkers for the diagnosis of Hepatocellular carcinoma, giving a new insight for improving the prognosis, diagnosis, and treatment outcomes of HBV-type Hepatocellular carcinoma.

Project description:BackgroundAlpha-fetoprotein (AFP), routinely used for diagnosis of hepatocellular carcinoma (HCC), is limited with relatively low sensitivity and high false positivity in HBV-related HCC (HBV-HCC). Thus, an alternative approach was explored to improve specificity/sensitivity for diagnosis of HBV-HCC, using the combination of AFP, inflammatory score, and liver function.MethodsChronic hepatitis B (CHB) (n = 510) and HBV-HCC (n = 473) patients were identified retrospectively for this study. The diagnostic value of single vs combined biomarkers for HBV-HCC was analyzed, using ROC curve.ResultsIt was observed that elderliness, male sex, cirrhosis, HBeAg+ or no-antiviral therapy, and elevation of ALT, AST, neutrophil-lymphocyte ratio (NLR), and AFP were associated with developing HBV-HCC. However, the cut-off ALT defined by Chinese standard, but not by AASLD, was a risk factor. Interestingly, AFP of HBeAg- HBV-HCC patients without cirrhosis was significantly higher than that of the HBeAg+ patients. AUC values for AFP, ALT, AST, or NLR were 0.84 (95% CI: 0.815-0.862), 0.533 (95% CI: 0.501-0.565), 0.696 (95% CI: 0.666-0.725), or 0.684 (95% CI: 0.654-0.713) with optimal cut-off at 7.21 ng/mL, 43 IU/mL, 38 IU/mL, or 2.61, respectively. Combination of AFP with ALT, AST, and NLR improved the diagnostic performance for HBV-HCC, compared to any of the single biomarkers or any other combinations among these patients (except no-cirrhosis).ConclusionsElderliness, male sex, elevated ALT, AST, NLR, AFP, cirrhosis, HBeAg+ , and no-antiviral treatment were independent risk factors for HBV-HCC. AASLD standard of ALT cut-off value may not be suitable for the Chinese population. Regular monitoring of HCC among HBeAg- patients with abnormal AFP may improve the management of HBV-HCC. The diagnostic performance of AFP combined with ALT, AST, and NLR for HBV-HCC was superior to single biomarker or any other combinations among these patients, and its diagnostic equation can be used as useful tool for differentiation of HBV-HCC from CHB.

Dataset Information

Optimisation of quantitative miRNA panels to consolidate the diagnostic surveillance of HBV-related hepatocellular carcinoma.

Publications

Optimisation of quantitative miRNA panels to consolidate the diagnostic surveillance of HBV-related hepatocellular carcinoma.

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