Potential Biomarker For Hepatocellular Carcinoma Research Articles

Noncoding RNAs Serve as Diagnosis and Prognosis Biomarkers for Hepatocellular Carcinoma.

Reliable noninvasive biomarkers for hepatocellular carcinoma (HCC) diagnosis and prognosis are urgently needed. We explored the potential of not only microRNAs (miRNAs) but other types of noncoding RNAs (ncRNAs) as HCC biomarkers. Peripheral blood samples were collected from 77 individuals; among them, 57 plasma cell-free RNA transcriptomes and 20 exosomal RNA transcriptomes were profiled. Significantly upregulated ncRNAs and published potential HCC biomarkers were validated with reverse transcription (RT)-qPCR in an independent validation cohort (60-150 samples). We particularly investigated the diagnosis and prognosis performance and biological function for 1 ncRNA biomarker, RN7SL1, and its S fragment. We identified certain circulating ncRNAs escaping from RNase degradation, possibly through binding with RNA-binding proteins: 899 ncRNAs were highly upregulated in HCC patients. Among them, 337 genes were fragmented long noncoding RNAs, 252 genes were small nucleolar RNAs, and 134 genes were piwi-interacting RNAs. Forty-eight candidates were selected and validated with RT-qPCR, of which, 16 ncRNAs were verified to be significantly upregulated in HCC, including RN7SL1, SNHG1, ZFAS1, and LINC01359. Particularly, the abundance of RN7SL1 S fragment discriminated HCC samples from negative controls (area under the curve, 0.87; 95% CI, 0.817-0.920). HCC patients with higher concentrations of RN7SL1 S fragment had lower survival rates. Furthermore, RN7SL1 S fragment alone promoted cancer cell proliferation and clonogenic growth. Our results show that various ncRNA species, not only miRNAs, identified in the small RNA sequencing of plasma are also able to serve as noninvasive biomarkers. Particularly, we identified a domain of srpRNA RN7SL1 with reliable clinical performance for HCC diagnosis and prognosis.

Dissecting the expression landscape of cytochromes P450 in hepatocellular carcinoma: towards novel molecular biomarkers.

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths around the world. Recent advances in genomic technologies have allowed the identification of various molecular signatures in HCC tissues. For instance, differential gene expression levels of various cytochrome P450 genes (CYP450) have been reported in studies performed on limited numbers of HCC tissue samples, or focused on a small subset on CYP450s. In the present study, we monitored the expression landscape of all the members of the CYP450 family (57 genes) in more than 200 HCC tissues using RNA-Seq data from The Cancer Genome Atlas. Using stringent statistical filters and data from paired tissues, we identified significantly dysregulated CYP450 genes in HCC. Moreover, the expression level of selected CYP450s was validated by qPCR on cDNA samples from an independent cohort. Threshold values (sensitivity and specificity) based on dysregulated gene expression were also determined to allow for confident identification of HCC tissues. Finally, a global look at expression levels of the 57 members of the CYP450 family across ten different cancer types revealed specific expression signatures. Overall, this study provides useful information on the transcriptomic landscape of CYP450 genes in HCC and on new potential HCC biomarkers.

ASO Author Reflections: Annexin A3 as a Potential Biomarker for Hepatocellular Carcinoma.

ASO Author Reflections: Annexin A3 as a Potential Biomarker for Hepatocellular Carcinoma.

CircRNAs (hsa_circ_00156, hsa_circ _000224, and hsa_circ _000520) are novel potential biomarkers in hepatocellular carcinoma.

Circular RNAs (circRNAs) are a newly validated type of noncoding RNAs recently found to be deregulated in several human cancers. More accurate and specific noninvasive biomarkers are strongly needed for better diagnosis and prognosis of hepatocellular carcinoma (HCC). We performed a bioinformatics analysis to retrieve a novel panel of circRNAs potentially relevant to HCC. We examined their expression in the sera of 68 patients with HCC, 60 patients with chronic hepatitis C, and 36 healthy controls using quantitative polymerase chain reaction. We examined the performance characteristics of the selected circRNA biomarker panel in comparison with alpha-fetoprotein (AFP). In addition, we performed a survival analysis to correlate between their expression levels and patient survival. The circRNAs hsa_circ _00224 and hsa_circ _00520 showed a strong biomarker potential with relatively high sensitivities and specificities compared with AFP. The combined panel including the three circRNAs showed superior performance characteristics relative to those of AFP. The median follow-up period was 26 months. hsa_circ_00520 expression has been shown to be associated with relapse-free survival (P < 0.005). circRNAs hsa_circ_00156, hsa_circ_000224, and hsa_circ_000520 are novel potential biomarkers of high sensitivity and specificity, which could potentially be used in the diagnosis of HCC.

JMJD6 promotes hepatocellular carcinoma carcinogenesis by targeting CDK4.

Jumonji domain-containing protein 6 (JMJD6), a histone arginine demethylase, plays a multifaceted and significant role in embryonic development and cancer progression. However, the function of JMJD6 and its precise mechanism in regulating hepatocellular carcinoma (HCC) remain unknown. Here, we show that aberrant JMJD6 overexpression is associated with poor prognosis and aggressive characteristics of HCC. In hepatoma cell lines, we demonstrated that knockdown of JMJD6 inhibited hepatoma cell migration and proliferation. JMJD6 overexpression displays the opposite effects. Interestingly, JMJD6 regulates hepatoma cell cycle and apoptosis progression. Moreover, there was a positive correlation between cell cycle regulatory protein CDK4 and JMJD6 level. Mechanism analysis suggested JMJD6 promotes CDK4 expression by directly targeting to its promoter, and interacts with PCAF to regulate the histone modifications on the promoter of CDK4. Furthermore, we found that inhibiting CDK4 abolished the ability of JMJD6 in enhancing cell proliferation. Taken together, for the first, we demonstrated that JMJD6 is critically involved in HCC carcinogenesis, and indicated that JMJD6 may be a novel potential biomarker for HCC.

Long noncoding RNA DGCR5 represses hepatocellular carcinoma progression by inactivating Wnt signaling pathway.

Increasing studies have indicated that long noncoding RNAs (lncRNAs) exert important roles in hepatocellular carcinoma (HCC). Therefore, it is of great significance to identify the dysregulated lncRNAs in HCC. According to the previous reports, it has been suggested that DiGeorge syndrome critical region gene 5 (DGCR5) might participate in HCC and can serve as potential biomarker for HCC. In our current study, we concentrated on the biological function and roles of lncRNA-DGCR5 in HCC. It was indicated that DGCR5 was decreased in HCC tissues and HCC cells including HepG2, Hep3B, MHCC-97L, SNU-449, and SNU-182 cells compared with the normal human liver cell line LO2. Overexpression of DGCR5 was able to restrain HCC growth, migration, and invasion capacity in HepG2 and SNU-449 cells. In addition, whether lncRNA-DGCR5 can regulate Wnt/β-catenin pathway during HCC progression is unclear. In our study, it was found that upregulation of DGCR5 inactivated Wnt signaling pathway through inhibiting β-catenin, cyclin D1 and increasing GSK-3β levels. Subsequently, in vivo tumor xenografts were established using HepG2 cells to investigate the function of DGCR5 in HCC development. Inconsistent with the in vitro findings, increase of DGCR5 dramatically suppressed HCC tumor progression in vivo. Taken these together, it was uncovered in our research that DGCR5 could play tumor suppressive role by targeting Wnt signaling in HCC progression.

Potential biomarkers of HCC based on gene expression and DNA methylation profiles.

The aim of the present study was to identify potential biomarkers of hepatocellular carcinoma (HCC). Three gene expression profiles of GSE95698, GSE49515 and GSE76427 and a DNA methylation profile of GSE73003 were downloaded from the Gene Expression Omnibus (GEO) database, each comprising data regarding HCC and control tissue samples. The differentially expressed genes (DEGs) between the HCC group and the control group were identified using the limma software package. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the overlapping DEGs. The PPI network of the overlapping DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins. A total of 41 DEGs were identified in HCC the group compared with control group. The overlapping DEGs were enriched in 11 GO terms and 3 KEGG pathways. A total of 6,349 DMSs were identified, and 6 of the differentially expressed genes were also differentially methylated [Denticleless protein homolog (DTL), Dual specificity phosphatase 1 (DUSP1), Eomesodermin, Endothelial cell specific molecule 1, Nuclear factor κ-light-chain gene enhancer of activated B cells inhibitor, α (NFKBIA) and suppressor of cytokine signaling 2 (SOCS2)]. The present study suggested that DTL, DUSP1, NFKBIA and SOCS2 may be potential biomarkers of HCC, and the tumor protein 'p53 signaling', 'forkhead box O1' signaling and 'metabolic' pathways may serve roles in the pathogenesis of HCC.

Decreased BMP-7 and p-Smad1/5/8 expression, and increased levels of gremlin in hepatocellular carcinoma.

The aim of the present study was to investigate the expression of bone morphogenetic protein-7 (BMP-7), gremlin, and p-Smad/1/5/8 in carcinomatous and para-carcinoma tissue specimens from patients with hepatocellular carcinoma (HCC). The association of serum BMP-7 levels with clinicopathological parameters was examined to assess its relevance as a clinical biomarker for HCC. A total of 27 patients with HCC and 7 healthy subjects were included. Gene expression levels of BMP-7 and p-Smad1/5/8 were examined by reverse transcription-quantitative polymerase chain reaction. Immunohistochemical and western blot analysis were performed to determine the protein expression of target genes. The serum levels of BMP-7 were assessed by enzyme linked immunosorbent assay. The mRNA and protein expression of BMP-7 and gremlin were significantly down- and upregulated in HCC tumor tissues, respectively, compared with para-carcinoma tissues (P<0.05). The association of BMP-7 and gremlin expression with the differentiation status of HCC was also analyzed. There was a relatively higher level of BMP-7 and a lower level of gremlin expression in tumor tissues from patients with highly differentiated HCC when compared with poorly or moderately differentiated HCC (BMP-7, F=42.29, P<0.01; gremlin, F=37.93, P<0.01). Furthermore, the level of BMP-7 and p-Smad1/5/8 was decreased in patients with advanced stages of HCC, when compared with stage I HCC. The findings from the present study suggest that the BMP-7/p-Smad signaling pathway may be involved in the pathogenesis of HCC. The serum levels of BMP-7 may serve as a potential biomarker for HCC.

Investigating miRNA-661 and ATG4-B mRNA expression as potential biomarkers for hepatocellular carcinoma.

We aimed to examine the statistical association between serum expression of miRNA 661 (miR-661) and ATG-4B mRNA and hepatocellular carcinoma (HCC) based on in silico data analysis followed by clinical validation. Quantitative reverse-transcriptase real-time PCR was used to examine the expression of miR-661 and ATG-4B mRNA in the sera of HCC patients versus control. The expression of miR-661 and ATG-4B mRNA was positive in 97.14 and 77.14%, respectively, in HCC patients. The survival analysis showed that ATG-4B mRNA was an independent prognostic factor. Our data are the first report of its kind regarding the considerable clinical significance of miR-661 and ATG-4B mRNA in HCC patients.

RETRACTED ARTICLE: A novel microRNA identified in hepatocellular carcinomas is responsive to LEF1 and facilitates proliferation and epithelial-mesenchymal transition via targeting of NFIX

Hepatocellular carcinoma (HCC) is one of the most prevalent cancers. It has been demonstrated that various cellular microRNAs (miRNAs) play an important role in HCC development. Here, we analyzed the miRNA profile in HCC tissues by Solexa sequencing, and we identified a novel microRNA, miR-HCC1, which is upregulated in HCC tissues. Further experiments showed that miR-HCC1 promoted HCC cell proliferation in vivo and in vitro, and migration and invasion resulting from the epithelial-mesenchymal transition (EMT) process. Nuclear factor I/X (NFIX), which inhibited cell proliferation, migration and invasion in HCC cells, was identified as a direct and functional target of miR-HCC1. Furthermore, lymphoid enhancer binding factor 1 (LEF1), a transcription factor, was shown to bind the promoter of miR-HCC1 and activate its expression. Collectively, these results indicate that LEF1-upregulated miR-HCC1 functions as an oncogene through the negative regulation of NFIX expression, which links the LEF1/miR-HCC1/NFIX axis to contribute to cell proliferation, migration and invasion of HCC cells and could provide novel insights into miRNA function and hepatocarcinogenesis and potential biomarkers for HCC.

Serum and exosome long non coding RNAs as potential biomarkers for hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is one of the most aggressive cancers, with limited new diagnostic and therapeutic measures. This study aimed to investigate the utility of specific serum and exosome lncRNAs as biomarkers for early diagnosis of HCC.Methods: The relative expression levels of eight selected lncRNAs in serum were evaluated by quantitative reverse transcription-PCR (qRT-PCR) in the training and validation sets of HCC patients and matched healthy controls. Additionally, the stability, specificity and diagnostic efficiency of these lncRNAs were evaluated to determine their potential as biomarkers. The levels of the final validated lncRNAs in exosome and urine samples of 15 HCC patients and 15 healthy controls were examined for source and path analysis.Results: LINC00161 was significantly upregulated in serum samples of HCC patients and showed excellent stability and specificity (P< 0.001, fold change=2.85). The area under the receiver operating characteristic (ROC) curve of the validated lncRNA signature was 0.794 (95% CI, 0.712-0.877). LINC00161 expression was detected in serum exosome, exosome-free, and urine samples, and its levels in serum exosome were upregulated in patients with HCC as compared to controls (P= 0.011, fold change=4.27).Conclusions: Our results indicated that circulating exosomal LINC00161 in serum may be a novel biomarker for HCC. LINC00161 is derived from exosomes into serum and may at least be partly metabolized through urine.

Identification of Functional mimotopes of human Vasorin Ectodomain by Biopanning.

Human vasorin (VASN) as a type I transmembrane protein, is a potential biomarker of hepatocellular carcinoma, which could expedite HepG2 cell proliferation and migration significantly in vitro. The ectodomain of VASN was proteolytically released to generate soluble VASN (sVASN), which was validated to be the active form. Among several monoclonal antibodies produced against sVASN, the clone V21 was found to bind with the recombinant human sVASN (rhsVASN) with the highest affinity and specificity, and also have inhibitory effects on proliferation and migration of HepG2 cells. Hence the phage-displayed peptide library was screened against the antibody V21. The positive phage clones were isolated and sequenced, and one unique consensus motifs was obtained. The result of sequence alignment showed that the conserved motif had similarity to VASN(Cys432-Cys441), embedded in the epidermal growth factor (EGF)-like domain. The synthetic mimotope peptide V21P1 and V21P2 were confirmed to bind with V21 and could compete with rhsVASN in ELISA assay. And they could also almost completely reverse the inhibitory effect of V21 on HepG2 migration and proliferation. Furthermore, the antibodies produced against V21P1 were able to bind not only with the peptide V21P1, but also with rhsVASN and the natural VASN from HepG2 cell. Our results showed that V21 seemed to be a functional antibody. The mimotopes toward V21 might mimic the functional domain of VASN, which would be helpful to exploit VASN functions and act as a candidate target for developing therapeutic antibodies against VASN.

CD90 promotes cell migration, viability and sphere‑forming ability of hepatocellular carcinoma cells.

Cluster of differentiation (CD)90 (Thy-1) was proposed as a marker for the liver cancer stem cells that are responsible for tumorigenic activity, however its involvement in the progression of hepatocellular carcinoma (HCC) remains unknown. The aim of the present study was to determine the effect of CD90 on the biological functions of HCC and to investigate the associated circular RNA (circRNA) involved in this process. The analysis of the in vitro data demonstrated that CD90+ cells isolated from SK-Hep-1 cells exhibited increased viability, migration and invasive abilities compared with CD90− cells. In addition, circRNA expression profiles in CD90+ and CD90− cells were screened using a microarray assay and hsa_circ_0067531 and hsa_circ_0057096 were identified to be expressed at significantly different levels. It was additionally demonstrated that the expression of hsa_circ_0067531 in HCC tissues was significantly decreased compared with normal adjacent tissues. Overall, the results of the present study suggested that CD90 may be used as a potential biomarker for HCC. Furthermore, it was demonstrated that hsa_circ_0067531 may affect the biological functions of CD90+ HCC cells and may be a promising candidate to aid in the diagnosis and therapy of HCC.

Alcohol and hepatitis virus-dysregulated lncRNAs as potential biomarkers for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths because of frequent late detection and poor therapeutic outcomes, necessitating the need to identify effective biomarkers for early diagnosis and new therapeutic targets for effective treatment. Long noncoding RNAs (lncRNAs) have emerged as promising molecular markers for diagnosis and treatment. Through analysis of patient samples from The Cancer Genome Atlas database, we identified putative lncRNAs dysregulated in HCC and by its risk factors, hepatitis infection and alcohol consumption. We identified 184 lncRNAs dysregulated in HCC tumors versus paired normal samples, 53 lncRNAs dysregulated in alcohol-drinking patients with hepatitis B, and 5, 456 lncRNAs dysregulated in patients with hepatitis infection. A panel of these candidate lncRNAs’ expressions correlated significantly with patient survival, clinical variables, and known genomic alteration in HCC. Two most significantly dysregulated lncRNAs in our computational analysis, lnc-CFP-1:1 and lnc-CD164L2-1:1, were validated in vitro to be dysregulated by alcohol. Our findings suggest that lncRNAs dysregulated by different etiologies of HCC serve as potential disease markers and can be further investigated to develop personalized prevention, diagnosis, and treatment strategies.

Utility of miR‑133a‑3p as a diagnostic indicator for hepatocellular carcinoma: An investigation combined with GEO, TCGA, meta‑analysis and bioinformatics.

Increasing evidence has demonstrated that microRNA (miR)-133a-3p is an important regulator of hepatocellular carcinoma (HCC). In the present study, the diagnostic role of miR-133a-3p in HCC, and the potential functional pathways, were both explored based on publicly available data. Eligible microarray datasets were collected from NCBI Gene Expression Omnibus (GEO) database and ArrayExpress database. The data related to HCC and matched adjacent normal tissues were also downloaded from The Cancer Genome Atlas (TCGA). Published studies reporting the association between miR-133a-3p expression and HCC were reviewed from multiple databases. By combining the data derived from three sources (GEO, TCGA and published studies), the authors analyzed the comprehensive relationship between miR-133a-3p expression and clinicopathological features of HCC. Eventually, putative targets of miR-133a-3p in HCC were selected for further bioinformatics prediction. A total of eight published microarray datasets were gathered, and the pooled results demonstrated that the expression of miR-133a-3p in the tumor group was lower than that in normal groups [standardized mean difference (SMD)=−0.54; 95% confidence interval (CI), −0.74 to −0.35; P<0.001]. Consistently, the level of miR-133a-1 in HCC was reduced markedly compared to normal tissues (P<0.001) based on TCGA data, and the AUC value of low miR-133a-1 expression for HCC diagnosis was 0.670 (P<0.001). Furthermore, the combined SMD of all datasets (GEO, TCGA and literature) suggested that significant difference was observed between the HCC group and the normal control group, and lower miR-133a-3p expression in HCC group was noted (SMD=−0.69; 95% CI, −1.10 to −0.29; P=0.001). In addition, the authors discovered five key genes of the calcium signaling pathway (NOS1, ADRA1A, ADRA1B, ADRA1D and TBXA2R) that may probably be targeted by miR-133a-3p in HCC. The study reveals that miR-133a-3p may function as a tumor suppressor in HCC. The prospective novel pathways and key genes of miR-133a-3p could offer potential biomarkers for HCC; however, the predictions require further confirmation.

Long non-coding RNA TRPM2-AS as a potential biomarker for hepatocellular carcinoma

BackgroundThere is increasing evidence that long non-coding RNAs are involved in hepatocellular carcinoma (HCC) tumorigenesis. The expression level of TRPM2-AS in HCC and its clinical association remain poorly defined.MethodqRT-PCR was performed to detect the expression of TRPM2-AS in 108 HCC patients. The correlations between TRPM2-AS expression and clinicopathological factors and prognosis were evaluated. The inference of TRPM2-AS to the proliferation and apoptosis of HCC cells was detected.AimsThe aim of our study was to explore the expression of TRPM2-AS in hepatocellular carcinoma (HCC) and the relation with prognosis and clinical features.ResultsThe expression of TRPM2-AS was higher in most HCC tissues and was significantly correlated with tumor size, AJCC stage, tumor differentiation, and the prognosis of HCC patients. Interfering TRPM2-AS expression using siRNA significantly inhibited cell proliferation and promoted cell apoptosis in two HCC cell lines.ConclusionLong non-coding RNA TRPM2-AS is upregulated in HCC and represents a new biomarker for HCC and the inhibition of TRPM2-AS promotes apoptosis in HCC cells in vitro.

Telomere length variation in tumor cells and cancer-associated fibroblasts: potential biomarker for hepatocellular carcinoma.

The role of telomere dysfunction and aberrant telomerase activities in hepatocellular carcinoma (HCC) has been overlooked for many years. This study aimed to delineate the variation and prognostic value of telomere length in HCC. Telomere‐specific fluorescence in situ hybridization (FISH) and qPCR were used to evaluate telomere length in HCC cell lines, tumor tissues, and isolated non‐tumor cells within the tumor. Significant telomere attrition was found in tumor cells and cancer‐associated fibroblasts (CAFs) compared to their normal counterparts, but not in intratumor leukocytes or bile duct epithelial cells. Clinical relevance and prognostic value of telomere length were investigated on tissue microarrays of 257 surgically treated HCC patients. Reduced intensity of telomere signals in tumor cells or CAFs correlated with larger tumor size and the presence of vascular invasion (p < 0.05). Shortened telomeres in tumor cells or CAFs associated with reduced survival and increased recurrence, and were identified as independent prognosticators for HCC patients (p < 0.05). These findings were validated in an independent HCC cohort of 371 HCC patients from The Cancer Genome Atlas (TCGA) database, confirming telomere attrition and its prognostic value in HCC. We also showed that telomerase reverse transcriptase promoter (TERTp) mutation correlated with telomere shortening in HCC. Telomere variation in tumor cells and non‐tumor cells within the tumor microenvironment of HCC was a valuable prognostic biomarker for this fatal malignancy. © 2017 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Abstract 4743: Identification of metastasis-associated biomarker PLEC1 by iTRAQ-based proteomic approach and prognostic role of PLEC1 in patients with hepatocellular carcinoma

Abstract Purpose: Hepatocellular Carcinoma(HCC)is the fifth most prevalent cancer and the second most frequent cause of cancer-related death in men worldwide because of high incidence of recurrence and widespread metastasis. However, to date, there have been no direct metastesis-associated biomarker which is critical for the effective treatment of patients with HCC, we thus aimed to identify novel HCC metastasis-associated biomarkers with prognostic significance.E xperimental Design: Two human HCC cell lines, MHCC97-L and MHCC97-H with similar genetic background and stepwise increasing metastatic potentials, were used to explore potential metastasis-associated biomarkers for HCC by isobaric tag for relative and absolute quantitation (iTRAQ) combination with 2D-LC-MS/MS. Ninety-five HCC cancerous and paracancerous tissues were further analyzed by immunohistochemistry to validate the correlations between the expression levels of PLEC1 with various clinicopathologic factors and patient survival. Results: Using iTRAQ combination with 2D-LC-MS/MS, a total of 47 differentially expressed proteins were found in MHCC97-L and MHCC97-H cells, of which 26 proteins were up regulated and 21 proteins were down regulated. Plectin-1 (PLEC1) was identified and re-confirmed as a potential biomarker for HCC that was highly up-regulated in tumor tissues, in comparison with that of para-cancerous tissues. Over-expression of PLEC1 was also strongly correlated with tumor size (P &amp;lt; 0.05) and TMN stages (P &amp;lt; 0.05). In addition, both univariate and multivariate analyses demonstrate that PLEC1 expression is an independent prognostic factor for patients with HCC(p&amp;lt;0.05). Conclusions: In this study, iTRAQ-based proteomic technology was explored to uncover novel metastasis-associated biomarkers in HCC. We identified and validated metastasis-associated protein PLEC1 as a potential prognostic marker in patients with HCC. Note: This abstract was not presented at the meeting. Citation Format: Lin-lan Song, Yu Chen, Di Mu, Xiao-Yan Jiang, Yu-Nong Li, Ling-Yu Jiang, Zhen-Fang Zhang, Liang Yan, Min Yang, Yi-xuan Yang, Hong Ren, Yong Liao. Identification of metastasis-associated biomarker PLEC1 by iTRAQ-based proteomic approach and prognostic role of PLEC1 in patients with hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4743. doi:10.1158/1538-7445.AM2017-4743

Identification of CD14 as a potential biomarker of hepatocellular carcinoma using iTRAQ quantitative proteomics.

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors without effective diagnostic biomarkers. This study intended to dynamically analyze serum proteomics in different pathological stages of liver diseases, and discover potential diagnostic biomarkers for early HCC. Patients with hepatitis B virus (HBV) infection, liver cirrhosis (LC), or HCC together with healthy controls (HC) were enrolled. Proteins differentially expressed between groups were screened using isobaric tagging for relative and absolute quantitation (iTRAQ), and promising HCC biomarker candidates were subjected to bioinformatics analysis, including K-means clustering, gene ontology (GO) and string network analysis. Potential biomarkers were validated by Western blotting and enzyme-linked immunosorbent assay (ELISA), and their diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Finally, 93 differentially expressed proteins were identified, of which 43 differed between HBV and HC, 70 between LC and HC, and 51 between HCC and HC. Expression levels of gelsolin (GELS) and sulfhydryl oxidase 1 (QSOX1) varied with disease state as follows: HC < HBV < LC < HCC. The reverse trend was observed with CD14. These iTRAQ results were confirmed by Western blotting and ELISA. Logistic regression and ROC curve analysis identified the optimal cut-off for alpha-fetoprotein (AFP), CD14 and AFP/CD14 was 191.4 ng/mL (AUC 0.646, 95%CI 0.467-0.825, sensitivity 31.6%, specificity 94.4%), 3.16 ng/mL (AUC 0.760, 95%CI 0.604-0.917, sensitivity 94.7%, specificity 50%) and 0.197 ng/mL (AUC 0.889, 95%CI 0.785-0.993, sensitivity 84.2%, specificity 83.3%) respectively. In conclusion, Assaying CD14 levels may complement AFP measurement for early detection of HCC.

Long Non-Coding RNA SNHG6 as a Potential Biomarker for Hepatocellular Carcinoma.

Long Non-coding RNAs (lncRNAs) refer to all non-protein coding transcripts longer than 200 nucleotides. Their critical roles in different biological pathways have been already well established. Altered expression of lncRNAs can be involved in the cancer initiation and/or progression. Since patients with hepatocellular carcinoma (HCC) are usually diagnosed in late stages, developing diagnostic methods seems to be essential. In this study, the expression levels of different lncRNAs were systematically analysed in different genomic and transcriptome datasets. The analyses showed that SNHG6 is among the lncRNAs with distinctive dysregulation of expression and copy number variation in HCC tumors compared with normal tissues. The results also suggest that the dysregulation of SNHG6 is highly cancer type specific. Through co-occurrence analyses, we found that SNHG6 and its related co-expressed genes on 8q are involved in the structural integrity of ribosome and translation. This comprehensive in silico analysis, provides a resource for investigating SNHG6 in hepatocellular carcinoma and lays the groundwork for design of next researches.