scholarly journals Circular RNA Hsa_Circ_0091579 Serves as a Diagnostic and Prognostic Marker for Hepatocellular Carcinoma

2018 ◽  
Vol 51 (1) ◽  
pp. 290-300 ◽  
Author(s):  
Chenxing Zhang ◽  
Chenyue Zhang ◽  
Jiamao Lin ◽  
Haiyong Wang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Tumors ◽  
Expression Profiles ◽  
Critical Role ◽  
Roc Curves ◽  
Altered Expression ◽  
Qrt Pcr ◽  
Specificity And Sensitivity ◽  
Tumor Tissues ◽  
Potential Biomarker

Background/Aims: An increasing number of studies have suggested that circular RNAs (circRNAs) have vital roles in carcinogenesis and tumor progression. However, the function of circRNAs in hepatocellular carcinoma (HCC) remains poorly characterized. Methods: We investigated the levels of circRNAs in patients with HCC to identify potential diagnostic biomarkers. We examined circRNA expression profiles in liver tumors and paired non-cancerous liver tissues from three HCC patients with cancer thrombus using a circRNA microarray. Bioinformatics analysis was performed to find circRNAs with significantly altered expression levels between tumors and their paired non-tumor tissues. We confirmed our initial findings by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Receiver operating characteristic (ROC) curves were also applied to identify a candidate circRNA with the optimal specificity and sensitivity. Finally, X-tile software was adopted to calculate the most efficient cut-off value for hsa_circ_0091579 expression. Results: Microarray analysis identified 20 unique circRNAs that were differentially expressed between tumor and non-tumor tissues (P < 0.05). The expression of these 20 circRNAs was verified by qRT-PCR. The expression of hsa_circ_16245-1 and hsa_circ_0091579 mRNA was consistent with their levels as tested by the microarray. The ROC curves showed that both hsa_circ_16245-1 and hsa_circ_0091579 had favorable specificity and sensitivity. We further confirmed that hsa_circ_0091579 was significantly upregulated in HCC and its high expression was intimately associated with a worse overall survival in patients with HCC. Conclusion: Hsa_circ_0091579 may play a critical role in HCC progression and serve as a potential biomarker for the prognosis of patients with HCC.

scholarly journals MicroRNAs as Diagnostic Tools in Hepatocellular Carcinoma

2021 ◽  
Vol 3 (4) ◽  
pp. 237-246
Author(s):  
Jessica Evangelista ◽  
Elisa Zaninotto ◽  
Annalisa Gaglio ◽  
Michele Ghidini ◽  
Lucrezia Raimondi
Keyword(s):  
Hepatocellular Carcinoma ◽  
Small Sample Size ◽  
Expression Patterns ◽  
Critical Role ◽  
Measurement Techniques ◽  
Small Sample ◽  
Diagnostic Tools ◽  
Migration And Invasion ◽  
Altered Expression ◽  
Liver Cancers

Liver cancer is the fourth leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) accounting for approximately 80% of all liver cancers. The serum concentration of alpha-fetoprotein (AFP) is the only validated biomarker for HCC diagnosis. MicroRNAs (miRNAs) are small non-coding RNAs of 21–30 nucleotides playing a critical role in human carcinogenesis, with types of miRNAs with oncogenic (oncomiRs) or tumor suppressor features. The altered expression of miRNAs in HCC is associated with many pathological processes, such as cancer initiation, tumor growth, apoptosis escape, promotion of migration and invasion. Moreover, circulating miRNAs have been increasingly investigated as non-invasive biomarkers for HCC diagnosis. MiRNAs’ expression patterns are altered in HCC and several single miRNAs or miRNAs panels have been found significantly up or downregulated in HCC with respect to healthy controls or non-oncological patients (cirrhotic or with viral hepatitis). However, any of the investigated miRNAs or miRNAs panels has entered clinical practice so far. This has mostly to do with lack of protocols standardization, small sample size and discrepancies in the measurement techniques. This review summarizes the major findings regarding the diagnostic role of miRNAs in HCC and their possible use together with standard biomarkers in order to obtain an early diagnosis and easier differential diagnosis from non-cancerous liver disease.

scholarly journals Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Shenglan Cai ◽  
Xingwang Hu ◽  
Ruochan Chen ◽  
Yiya Zhang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Cells ◽  
Cox Regression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Roc Curves ◽  
The Cancer Genome Atlas ◽  
Immune Checkpoints ◽  
Immune Genes ◽  
Normal Tissues

BackgroundEnhancer RNAs (eRNAs) are intergenic long non-coding RNAs (lncRNAs) that participate in the progression of malignancies by targeting tumor-related genes and immune checkpoints. However, the potential role of eRNAs in hepatocellular carcinoma (HCC) is unclear. In this study, we aimed to construct an immune-related eRNA prognostic model that could be used to prospectively assess the prognosis of patients with HCC.MethodsGene expression profiles of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA). The eRNAs co-expressed from immune genes were identified as immune-related eRNAs. Cox regression analyses were applied in a training cohort to construct an immune-related eRNA signature (IReRS), that was subsequently used to analyze a testing cohort and combination of the two cohorts. Kaplan-Meier and receiver operating characteristic (ROC) curves were used to validate the predictive effect in the three cohorts. Gene Set Enrishment Analysis (GSEA) computation was used to identify an IReRS-related signaling pathway. A web-based cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) computation was used to evaluate the relationship between the IReRS and infiltrating immune cells.ResultsA total of sixty-four immune-related eRNAs (IReRNAs) was identified in HCC, and 14 IReRNAs were associated with overall survival (OS). Five IReRNAs were used for constructing an immune-related eRNA signature (IReRS), which was shown to correlate with poor survival and to be an independent prognostic biomarker for HCC. The GSEA results showed that the IReRS was correlated to cancer-related and immune-related pathways. Moreover, we found that IReRS was correlated to infiltrating immune cells, including CD8+ T cells and M0 macrophages. Finally, differential expressions of the five risk IReRNAs in tumor tissues vs. adjacent normal tissues and their prognostic values were verified, in which the AL445524.1 may function as an oncogene that affects prognosis partly by regulating CD4-CLTA4 related genes.ConclusionOur results suggest that the IReRS could serve as a biomarker for predicting prognosis in patients with HCC. Additionally, it may be correlated to the tumor immune microenvironment and could also be used as a biomarker in immunotherapy for HCC.

scholarly journals Baicalein, a Natural Anti-Cancer Compound, Alters MicroRNA Expression Profiles in Bel-7402 Human Hepatocellular Carcinoma Cells

2017 ◽  
Vol 41 (4) ◽  
pp. 1519-1531 ◽  
Author(s):  
Beibei Bie ◽  
Jin Sun ◽  
Jun Li ◽  
Ying Guo ◽  
Wei Jiang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Cell Proliferation ◽  
Cell Lines ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Akt Pathway ◽  
Qrt Pcr ◽  
Cycle Arrest ◽  
Mirna Expression Profiles

Background/Aims: Baicalein has been shown to possess significant anti-hepatoma activity by inhibiting cell proliferation. Whether the anti-proliferative effect of baicalein is related to its modulation of miRNA expression in hepatocellular carcinoma (HCC) is still unknown. Methods: The anti-proliferative effects of baicalein on HCC cell line Bel-7402 was assessed by detecting the proliferation activity, cell cycle distribution, expression changes of p21/CDKN1A, P27/CDKN1B, total Akt and phosphoryted AKT. Microarray analysis was conducted to determine the miRNA expression profiles in baicalein-treated or untreated Bel-7402 cells and then validated by qRT-PCR in two HCC cell lines (Bel-7402 and Hep3B). The gain-of-function of miR-3127-5p was performed by detecting anti-proliferative effects after transfecting miRNA mimics in cells. Finally, the expression level of miR-3127-5p in different HCC cell lines was determined by qRT-PCR. Results: Baicalein was able to inhibit the proliferation of Bel-7402 cells by inducing cell cycle arrest at the S and G2/M phase via up-regulating the expression of p21/CDKN1A and P27/CDKN1B and suppressing the PI3K/Akt pathway. Baicalein could alter the miRNA expression profiles in Bel-7402 cells. Putative target genes for differentially expressed miRNAs could be enriched in terms of cell proliferation regulation, cell cycle arrest and were mainly involved in MAPK, PI3K-Akt, Wnt, Hippo and mTOR signaling pathways. MiR- 3127-5p, one of up-regulated miRNAs, exhibits low expression level in several HCC cell lines and its overexpression could inhibit cell growth of Bel-7402 and Hep3B cell lines by inducing S phase arrest by up-regulating the expression of p21and P27 and repressing the PI3K/Akt pathway. Conclusions: Modulation of miRNA expression may be an important mechanism underlying the anti-hepatoma effects of baicalein.

CircRNA profiling identifies circRNF180 as a tumor suppressor in hepatocellular carcinoma

Epigenomics ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 513-530
Author(s):  
Xi Zeng ◽  
Chao Tan ◽  
Meile Mo ◽  
Xiaoling Qin ◽  
Xiaoyun Ma ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Suppressor ◽  
Real Time ◽  
Real Time Pcr ◽  
Expression Profiles ◽  
Cell Counting ◽  
Migration And Invasion ◽  
Quantitative Real Time Pcr ◽  
Potential Biomarker ◽  
Hcc Cells

Aim: To explore the expression profiles and functions of circRNAs in hepatocellular carcinoma (HCC). Materials & methods: We obtained circRNA expression profiles through RNA sequencing. Expression levels of circRNAs were confirmed by quantitative real-time PCR. The effects on HCC progression were determined using Cell Counting Kit 8, clone formation and transwell assays. Results: We identified 114 upregulated and 144 downregulated circRNAs in HCC tissues. The results of quantitative real-time PCR showed that circGNAO1, circRNF180 and circMERTK were significantly downregulated in HCC tissues, whereas circSNX6 was significantly upregulated. CircRNF180 was associated with microvascular invasion. Overexpression of circRNF180 inhibits the proliferation, colony formation, migration and invasion of HCC cells. Conclusion: CircRNF180 may function as a tumor suppressor and could serve as a potential biomarker and therapeutic target in HCC.

scholarly journals Identification of Key Genes and Prognostic Value Analysis in Hepatocellular Carcinoma by Integrated Bioinformatics Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-21 ◽  
Author(s):  
Meng Wang ◽  
Licheng Wang ◽  
Shusheng Wu ◽  
Dongsheng Zhou ◽  
Xianming Wang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Expression Profiles ◽  
Cyclin B1 ◽  
Ppi Network ◽  
Hub Genes ◽  
Altered Expression ◽  
Value Analysis ◽  
Kaplan Meier ◽  
Key Genes

Emerging evidence indicates that various functional genes with altered expression are involved in the tumor progression of human cancers. This study is aimed at identifying novel key genes that may be used for hepatocellular carcinoma (HCC) diagnosis, prognosis, and targeted therapy. This study included 3 expression profiles (GSE45267, GSE74656, and GSE84402), which were obtained from the Gene Expression Omnibus (GEO). GEO2R was used to analyze the differentially expressed genes (DEGs) between HCC and normal samples. The functional and pathway enrichment analysis was performed by the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction (PPI) network of the identified DEGs was constructed using the Search Tool for the Retrieval of Interacting Gene, and hub genes were identified. ONCOMINE and CCLE databases were used to verify the expression of the hub genes in HCC tissues and cells. Kaplan-Meier plotter was used to assess the effects of the hub genes on the overall survival of HCC patients. A total of 99 DEGs were identified from the 3 expression profiles. These DEGs were enriched with functional processes and pathways related to HCC pathogenesis. From the PPI network, 5 hub genes were identified. The expression of the 5 hub genes was all upregulated in HCC tissues and cells compared with the control tissues and cells. Kaplan-Meier survival curves indicated that high expression of cyclin-dependent kinase (CDK1), cyclin B1 (CCNB1), cyclin B2 (CCNB2), MAD2 mitotic arrest deficient-like 1 (MAD2L1), and topoisomerase IIα (TOP2A) predicted poor overall survival in HCC patients (all log-rank P<0.01). These results revealed that the DEGs may serve as candidate key genes during HCC pathogenesis. The 5 hub genes, including CDK1, CCNB1, CCNB2, MAD2L1, and TOP2A, may serve as promising prognostic biomarkers in HCC.

scholarly journals Differentially Expressed miRNAs in Tumor, Adjacent, and Normal Tissues of Lung Adenocarcinoma

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Fei Tian ◽  
Rui Li ◽  
Zhenzhu Chen ◽  
Yanting Shen ◽  
Jiafeng Lu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Adenocarcinoma ◽  
Target Genes ◽  
Expression Profiles ◽  
Major Type ◽  
Regulatory Pathways ◽  
Normal Tissues ◽  
Qrt Pcr ◽  
Diagnosis And Prognosis ◽  
Tumor Tissues

Lung cancer is the leading cause of cancer deaths. Non-small-cell lung cancer (NSCLC) is the major type of lung cancer. The aim of this study was to characterize the expression profiles of miRNAs in adenocarcinoma (AC), one major subtype of NSCLC. In this study, the miRNAs were detected in normal, adjacent, and tumor tissues by next-generation sequencing. Then the expression levels of differential miRNAs were quantified by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). In the results, 259, 401, and 389 miRNAs were detected in tumor, adjacent, and normal tissues of pooled AC samples, respectively. In addition, for the first time we have found that miR-21-5p and miR-196a-5p were gradually upregulated from normal to adjacent to tumor tissues; miR-218-5p was gradually downregulated with 2-fold or greater change in AC tissues. These 3 miRNAs were validated by qRT-PCR. Lastly, we predicted target genes of these 3 miRNAs and enriched the potential functions and regulatory pathways. The aberrant miR-21-5p, miR-196a-5p, and miR-218-5p may become biomarkers for diagnosis and prognosis of lung adenocarcinoma. This research may be useful for lung adenocarcinoma diagnosis and the study of pathology in lung cancer.

scholarly journals Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ping Li ◽  
YanZhen Xu ◽  
Qinle Zhang ◽  
Yu Li ◽  
Wenxian Jia ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Dna Repair ◽  
Characteristic Curve ◽  
The Cancer Genome Atlas ◽  
Mrna Levels ◽  
Protein Structure Analysis ◽  
Qrt Pcr ◽  
Specificity And Sensitivity ◽  
Huh7 Cells ◽  
The Impact

Abstract Background Radiation sensitive 52 (RAD52) is an important protein that mediates DNA repair in tumors. However, little is known about the impact of RAD52 on hepatocellular carcinoma (HCC). We investigated the expression of RAD52 and its values in HCC. Some proteins that might be coordinated with RAD52 in HCC were also analyzed. Methods Global RAD52 mRNA levels in HCC were assessed using The Cancer Genome Atlas (TCGA) database. RAD52 expression was analyzed in 70 HCC tissues and adjacent tissues by quantitative real-time PCR (qRT-PCR), Western blotting and immunohistochemistry. The effect of over-expressed RAD52 in Huh7 HCC cells was investigated. The String database was then used to perform enrichment and functional analysis of RAD52 and its interactome. Cytoscape software was used to create a protein–protein interaction network. Molecular interaction studies with RAD52 and its interactome were performed using the molecular docking tools in Hex8.0.0. Finally, these DNA repair proteins, which interact with RAD52, were also analyzed using the TCGA dataset and were detected by qRT-PCR. Based on the TCGA database, algorithms combining ROC between RAD52 and RAD52 interactors were used to diagnose HCC by binary logistic regression. Results In TCGA, upregulated RAD52 related to gender was obtained in HCC. The area under the receiver operating characteristic curve (AUC) of RAD52 was 0.704. The results of overall survival (OS) and recurrence-free survival (RFS) indicated no difference in the prognosis between patients with high and low RAD52 gene expression. We validated that RAD52 expression was increased at the mRNA and protein levels in Chinese HCC tissues compared with adjacent tissues. Higher RAD52 was associated with older age, without correlation with other clinicopathological factors. In vitro, over-expressed RAD52 significantly promoted the proliferation and migration of Huh7 cells. Furthermore, RAD52 interactors (radiation sensitive 51, RAD51; X-ray repair cross complementing 6, XRCC6; Cofilin, CFL1) were also increased in HCC and participated in some biological processes with RAD52. Protein structure analysis showed that RAD52–RAD51 had the firmest binding structure with the lowest E-total energy (− 1120.5 kcal/mol) among the RAD52–RAD51, RAD52–CFL1, and RAD52–XRCC6 complexes. An algorithm combining ROC between RAD52 and its interactome indicated a greater specificity and sensitivity for HCC screening. Conclusions Overall, our study suggested that RAD52 plays a vital role in HCC pathogenesis and serves as a potential molecular target for HCC diagnosis and treatment. This study’s findings regarding the multigene prediction and diagnosis of HCC are valuable.

Expression profile and potential regulatory pathways of SFTPA1 in human tumors.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15675-e15675
Author(s):  
Lu Yuan ◽  
Mi Yang ◽  
Xixi Wu ◽  
Wenqi Huang ◽  
Yuting Wu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Expression Profile ◽  
Critical Role ◽  
Human Tumor ◽  
Lung Squamous Cell Carcinoma ◽  
Surfactant Protein ◽  
Functional Heterogeneity ◽  
Regulatory Pathways ◽  
Tumor Tissues ◽  
Potential Biomarker

e15675 Background: Pulmonary surfactant protein A1(SFTPA1) plays a critical role in maintaining lung tissue homeostasis and its disruption could cause lung diseases and even lung cancer. Despite the finding that SFTPA1 is a potential biomarker for lung cancer, the expression profile and molecular mechanism of SFTPA1 in pan-cancer remain unclear. Methods: The expression of SFTPA1 in BALB/c mice, human normal tissues and human tumor tissues were explored by immunohistochemistry assay. The prognostic values were evaluated by Kaplan-Meier Plotter Database Analysis. Principal components analysis and GO and KEGG pathway enrichment analyses were exerted to identify the functional heterogeneity of SFTPA1 in various tumors. Multiple databases were used to analyze immune infiltrates and regulation networks of SFTPA1. Results: This study described the expression profile of SFTPA1 in various organs and tissues of BALB/c mice and various types of human tumor tissues. Interestingly, we found the expression level of SFTPA1 mRNA was associated with different prognosis in different cancers, even in Lung adenocarcinoma(LUAD) and Lung squamous cell carcinoma(LUSC). The further analysis confirmed a functional heterogeneity of SFTPA1 across diverse cancer types. Significantly, SFTPA1 might regulate tumor microenvironment by affecting the polarization of M2 macrophages in LUAD and LUSC. Furthermore, we found the has-miR-3200-3p-HNF1B-SFTPA1 network was a potential upstream regulatory mechanism of SFTPA1 in LUSC. Conclusions: Our study elaborated expression profile and potential regulatory pathways of SFTPA1 in human solid cancers, and might provide a potential immune infiltration biomarker for lung cancer.

scholarly journals Quantification of 5-Methylcytosine and 5-Hydroxymethylcytosine in Genomic DNA from Hepatocellular Carcinoma Tissues by Capillary Hydrophilic-Interaction Liquid Chromatography/Quadrupole TOF Mass Spectrometry

2013 ◽  
Vol 59 (5) ◽  
pp. 824-832 ◽  
Author(s):  
Ming-Luan Chen ◽  
Fan Shen ◽  
Wei Huang ◽  
Jia-Hui Qi ◽  
Yinsheng Wang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Hepatocellular Carcinoma ◽  
Liquid Chromatography ◽  
Genomic Dna ◽  
Epigenetic Modification ◽  
Hydrophilic Interaction Liquid Chromatography ◽  
Hydrophilic Interaction ◽  
Limits Of Detection ◽  
Tumor Tissues ◽  
Potential Biomarker

BACKGROUND 5-Methylcytosine (5-mC) is an important epigenetic modification involved in development and is frequently altered in cancer. 5-mC can be enzymatically converted to 5-hydroxymethylcytosine (5-hmC). 5-hmC modifications are known to be prevalent in DNA of embryonic stem cells and neurons, but the distribution of 5-hmC in human liver tumor and matched control tissues has not been rigorously explored. METHODS We developed an online trapping/capillary hydrophilic-interaction liquid chromatography (cHILIC)/in-source fragmentation/tandem mass spectrometry system for quantifying 5-mC and 5-hmC in genomic DNA from hepatocellular carcinoma (HCC) tumor tissues and relevant tumor adjacent tissues. A polymer-based hydrophilic monolithic column was prepared and used for the separation of 12 nucleosides by cHILIC coupled with an online trapping system. Limits of detection and quantification, recovery, and imprecision of the method were determined. RESULTS Limits of detection for 5-mC and 5-hmC were 0.06 and 0.19 fmol, respectively. The imprecision and recovery of the method were determined, with the relative SDs and relative errors being &lt;14.9% and 15.8%, respectively. HCC tumor tissues had a 4- to 5-fold lower 5-hmC content compared to tumor-adjacent tissues. In addition, 5-hmC content highly correlated with tumor stage (tumor-nodes-metastasis, P = 0.0002; Barcelona Clinic liver cancer, P = 0.0003). CONCLUSIONS The marked depletion of 5-hmC may have profound effects on epigenetic regulation in HCC and could be a potential biomarker for the early detection and prognosis of HCC.

scholarly journals Identification of Circulating Exosomal miR-101 and miR-125b Panel Act as a Potential Biomarker for Hepatocellular Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Li Sun ◽  
Mu Xu ◽  
Guoying Zhang ◽  
Lin Dong ◽  
Jie Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Roc Curves ◽  
Fold Change ◽  
Diagnostic Utility ◽  
Roc Curve Analysis ◽  
Candidate Mirnas ◽  
Potential Biomarker ◽  
Exosomal Mirnas ◽  
Noninvasive Biomarker ◽  
New Diagnosis

Background. Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide with high mortality, and there is an urgent need of new diagnosis measures. This study is aimed at investigating whether circulating exosomal miRNAs could act as biomarkers for the diagnosis of HCC. Methods. A four-stage strategy was adopted in this study. Candidate miRNA was selected by comprehensive analysis of four GEO datasets and TCGA database. The expression of candidate miRNAs in serum exosomal samples were examined through qRT-PCR. The diagnostic utility of the final validated miRNAs was examined by receiver operating characteristic (ROC) curve analysis. Results. After synthetical analysis of four GEO datasets, six miRNAs were selected as candidates due to their higher differential fold change. miR-101 and miR-125b were selected as candidate miRNAs to further investigate their potential as biomarkers for HCC due to their differential fold change and their influence on overall survival based on the TCGA database. As a result, miR-101 and miR-125b expressions were remarkably downregulated in both tissues and serum exosomes of patients with HCC. The area under the ROC curves (AUCs) of circulating exosomal miR-101 and miR-125b were 0.894 (95% CI, 0.793–0.994) and 0.812 (95% CI, 0.675–0.950), respectively. The combination of the two miRNAs presented higher diagnostic utility for HCC ( AUC = 0.953 ). Conclusion. The exosomal miR-101 and miR-125b panel in the serum may act as a noninvasive biomarker for HCC detection.

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