Comparative proteomic profiles indicating genetic factors may involve in hepatocellular carcinoma familial aggregation

Quantitative proteomics assay reveals G protein-coupled receptor kinase 4-induced HepG2 cell growth inhibition

Background and aim

To investigate the biological effects and putative biological mechanism of G protein-coupled receptor kinase 4 (GRK4) on HepG2 cells.

Materials and methods

Cell proliferation, cycle, and apoptosis were evaluated by Cell Counting Kit-8 and flow cytometry (FCM) in HepG2 cells infected with either the GRK4-overexpressing lentivirus vector (OE) or the negative control lentivirus vector (NC). The protein profiles and differentially expressed proteins (DEPs) of the OE and NC cells were analyzed and compared using the quantitative proteomics technique, and their function, expression, and probable mechanism were investigated using bioinformatic assays and parallel reaction monitoring (PRM).

Results

HepG2 cells that received the OE grew more slowly than those that received the NC. FCM revealed that, when compared to the NC cells, the OE cells had undergone S-phase cycle arrest, and neither the OE nor NC cells underwent apoptosis. Among the 7006 proteins that were identified by quantitative proteomics, 403 DEPs were examined based on the filtering parameters, with the expressions of 135 being downregulated and 268 being upregulated. In addition to being involved in the peroxisome proliferator-activated receptor (PPAR) signaling pathway, the DEPs were implicated in the biological processes of cell proliferation, cycle, and metabolism. PRM verified the expressions of DEPs that were connected to the PPAR pathway.

Conclusions

This study shows that GRK4 prevents HepG2 cells from proliferating and causes cell cycle arrest in the S-phase, while the PPAR pathway is involved in the regulation of HepG2 cells via GRK4.

Hepatocellular carcinoma subtypes based on metabolic pathways reveals potential therapeutic targets

Introduction

Hepatocellular carcinoma (HCC) is an aggressive malignancy with steadily increasing incidence rates worldwide and poor therapeutic outcomes. Studies show that metabolic reprogramming plays a key role in tumor genesis and progression. In this study, we analyzed the metabolic heterogeneity of epithelial cells in the HCC and screened for potential biomarkers.

Methods

The hepatic single-cell RNA sequencing (scRNA-seq) datasets of HCC patients and healthy controls were obtained from the Gene Expression Omnibus (GEO) database. Based on data intergration and measurement of differences among groups, the metabolic epithelial cell subpopulations were identified. The single-cell metabolic pathway was analyzed and the myeloid subpopulations were identified. Cell-cell interaction analysis and single-cell proliferation analysis were performed. The gene expression profiles of HCC patients were obtained from the GSE14520 dataset of GEO and TCGA-LIHC cohort of the UCSC Xena website. Immune analysis was performed. The differentially expressed genes (DEGs) were identified and functionally annotated. Tumor tissues from HCC patients were probed with anti-ALDOA, anti-CD68, anti-CD163, anti-CD4 and anti-FOXP3 antibodies. Results We analyzed the scRNA-seq data from 48 HCC patients and 14 healthy controls. The epithelial cells were significantly enriched in HCC patients compared to the controls (p = 0.011). The epithelial cells from HCC patients were classified into two metabolism-related subpopulations (MRSs) - pertaining to amino acid metabolism (MRS1) and glycolysis (MRS2). Depending on the abundance of these metabolic subpopulations, the HCC patients were also classified into the MRS1 and MRS2 subtype distinct prognoses and immune infiltration. The MRS2 group had significantly worse clinical outcomes and more inflamed tumor microenvironment (TME), as well as a stronger crosstalk between MRS2 cells and immune subpopulations that resulted in an immunosuppressive TME. We also detected high expression levels of ALDOA in the MRS2 cells and HCC tissues. In the clinical cohort, HCC patients with higher ALDOA expression showed greater enrichment of immunosuppressive cells including M2 macrophages and T regulatory cells.

Discussion

The glycolytic subtype of HCC cells with high ALDOA expression is associated with an immunosuppressive TME and predicts worse clinical outcomes, providing new insights into the metabolism and prognosis of HCC.

ENO1 Binds to ApoC3 and Impairs the Proliferation of T Cells via IL-8/STAT3 Pathway in OSCC

Lymph node metastasis is associated with poor prognosis of oral squamous cell carcinoma (OSCC), and few studies have explored the relevance of postoperative lymphatic drainage (PLD) in metastatic OSCC. Alpha-enolase (ENO1) is a metabolic enzyme, which is related to lymphatic metastasis of OSCC. However, the role of ENO1 in PLD in metastatic OSCC has not been elucidated. Herein, we collected lymphatic drainage after lymphadenectomy between metastatic and non-metastatic lymph nodes in OSCC patients to investigate the relationship between ENO1 expression and metastasis, and to identify the proteins which interacted with ENO1 in PLD of patients with metastatic OSCC by MS/GST pulldown assay. Results revealed that the metabolic protein apolipoprotein C-III (ApoC3) was a novel partner of ENO1. The ENO1 bound to ApoC3 in OSCC cells and elicited the production of interleukin (IL)-8, as demonstrated through a cytokine antibody assay. We also studied the function of IL-8 on Jurkat T cells co-cultured with OSCC cells in vitro. Western blot analysis was applied to quantitate STAT3 (signal transducer and activator of transcription 3) and p-STAT3 levels. Mechanistically, OSCC cells activated the STAT3 signaling pathway on Jurkat T cells through IL-8 secretion, promoted apoptosis, and inhibited the proliferation of Jurkat T cells. Collectively, these findings illuminate the molecular mechanisms underlying the function of ENO1 in metastasis OSCC and provide new strategies for targeting ENO1 for OSCC treatment.

Identification and Validation of Stage-Associated Serum Biomarkers in Colorectal Cancer Using MS-Based Procedures

PURPOSE

Successful prevention of colorectal cancer (CRC) would benefit from a rapid serum screening for early detection. Here, a novel strategy for CRC biomarker discovery and validation exclusively based on MS procedures is reported.

EXPERIMENTAL DESIGN

Identification of CRC serum biomarkers is initially made using label-free quantification on pooled serum samples from different CRC stages followed by two consecutive steps of targeted parallel reaction monitoring assays in different serum cohorts. Relevance of different protein depletion and peptide fractionation extent is investigated. Absolute quantification of a selected peptide is performed as a proof-of-concept.

RESULTS

A total of 945 proteins showed differential abundance in the discovery phase. Based on their statistical significance and relative expression in disease stages, 123 potential biomarkers are selected for a training step. In the final validation step, five peptides belonging to four proteins are consistently quantified in individual CRC serum samples and controls. Different statistical analyses indicate that peptides GWVTDGFSSLK (APOC3) and LCNNPTPQFGGK (THBS1) are candidate biomarkers. Absolute quantification of LCNNPTPQFGGK shows statistical significance for the diagnosis of early respect to late CRC stages.

CONCLUSIONS AND CLINICAL RELEVANCE

Two peptides from APOC3 and THBS1 are validated by PRM as potential biomarkers for non-invasive diagnosis of colorectal cancer.

Tracking the important role of JUNB in hepatocellular carcinoma by single-cell sequencing analysis

Hepatocellular carcinoma (HCC) is the most commonly diagnosed liver cancer, accounting for ~90% of all primary malignancy of the liver. Although various medical treatments have been used as systemic therapies, patient survival time may be extended by only a few months. Moreover, the underlying mechanisms of HCC development and progression remain poorly understood. In the present study, the single-cell transcriptome of one in vivo HCC tumor sample, two in vitro HCC cell lines and normal peripheral blood mononuclear cells were analysed in order to identify the potential mechanism underlying the development and progression of HCC. Interestingly, JunB proto-oncogene was identified to serve a role in the immune response and in development and progression of HCC, potentially contributing to the development of novel therapeutics for HCC patients.

Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments

Colorectal cancer (CRC) is one of the principal causes of cancer‑associated mortality worldwide. The high incidence of liver metastasis is the leading risk factor of mortality in patients with CRC, and the mechanisms of CRC liver metastasis are poorly understood. In the present study, 7 datasets, including 3 gene expression profile datasets and 4 microRNA (miRNA) expression profile datasets were downloaded from the NCBI Gene Expression Omnibus (GEO) database to identify potential key genes and miRNAs, which may be candidate biomarkers for CRC liver metastasis. Differentially expressed (DE) genes (DEGs) and DE miRNAs of primary CRC tumor tissues and liver metastatic CRC tumor tissues were selected using the GEO2R tool. Gene Ontology and Kyoto Encyclopedia of Gene and Genome pathway enrichment analyses were conducted using the Database for Annotation, Visualization and Integrated Discovery online database. Furthermore, Cytoscape with cytoHubba and the Molecular Complex Detection (MCODE) plug‑in were used to visualize a protein‑protein interaction (PPI) network for these DEGs, and to screen hub genes and gene modules in the PPI network. In addition, the online databases, TargetScan, miRanda, PITA, miRWalk and miRDB, were used to identify the target genes of the DE miRNAs. In the present study, 141 DEGs (97 upregulated and 44 downregulated) and 3 DE miRNAs (2 upregulated and 1 downregulated) were screened from the 3 gene expression microarray datasets and 4 miRNA expression microarray datasets, respectively. In total, 10 hub genes with a high degree of connectivity were selected from the PPI network, including albumin (ALB), coagulation factor II (F2), thrombin, apolipoprotein H (APOH), serpin family C member 1 (SERPINC1), apolipoprotein A1 (APOA1), α‑1‑microglobulin/bikunin precursor (AMBP), apolipoprotein C3 (APOC3), plasminogen (PLG), α‑2 HS glycoprotein (AHSG) and apolipoprotein B (APOB). The most important module was detected in the PPI network using the MCODE plug‑in. A total of 20 DEGs were identified to be potential target genes of these DE miRNAs, and novel miRNA‑DEGs regulatory axes were constructed. In vitro experiments were performed to demonstrate that miR‑885 promoted CRC cell migration by, at least partially, decreasing the expression of von Willebrand factor (vWF) and insulin‑like growth factor binding protein 5 (IGFBP5). In conclusion, by using integrated bioinformatics analysis and in vitro experiments, key candidate genes were identified and novel miRNA‑mRNA regulatory axes in CRC liver metastasis were constructed, which may improve understanding of the molecular mechanisms underlying CRC liver metastasis.

Familial hepatocellular carcinoma: 'A model for studying preventive and therapeutic measures'

Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide, with more than 80% of cases found in endemic areas of hepatitis B such as Africa or East Asia. A family history of liver cancer increases HCC risk, independently of hepatitis. The combination of family history of liver cancer and hepatitis B/C serum markers is associated with an over 70-fold elevated HCC risk and poor prognosis. Only limited attention has been given to the role of primary genetic factors in HCC, but scattered anecdotal reports have identified familial aggregations of HCC. This article reviewed the literature on familial hepatocellular carcinoma and suggest that familial HCC may be a good model for studying preventive and therapeutic measures.

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Highest risk for HCC occur when a hereditary component acts in concert with hepatitis B virus.

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Different single nucleotide polymorphisms affect various biological pathways predisposing other risk factors.

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More extensive investigation of the genetic hypothesis of HCC and its fibrolamellar variant required.

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Prevention with neonatal vaccination is better than cure.

Identification of key pathways and biomarkers in sorafenib-resistant hepatocellular carcinoma using bioinformatics analysis

Hepatocellular carcinoma (HCC) is one of the most common malignant types of cancer, with a high mortality rate. Sorafenib is the sole approved oral clinical therapy against advanced HCC. However, individual patients exhibit varying responses to sorafenib and the development of sorafenib resistance has been a new challenge for its clinical efficacy. The current study identified gene biomarkers and key pathways in sorafenib-resistant HCC using bioinformatics analysis. Gene dataset GSE73571 was obtained from the Gene Expression Omnibus (GEO) database, including four sorafenib-acquired resistant and three sorafenib-sensitive HCC phenotypes. Differentially expressed genes (DEGs) were identified using the web tool GEO2R. Functional and pathway enrichment of DEGs were analyzed using the Database for Annotation, Visualization and Integrated Discovery and the protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape. A total of 1,319 DEGs were selected, which included 593 upregulated and 726 downregulated genes. Functional and pathway enrichment analysis revealed DEGs enriched in negative regulation of endopeptidase activity, cholesterol homeostasis, DNA replication and repair, coagulation cascades, insulin resistance, RNA transport, cell cycle and others. Eight hub genes, including kininogen 1, vascular cell adhesion molecule 1, apolipoprotein C3, alpha 2-HS glycoprotein, erb-b2 receptor tyrosine kinase 2, secreted protein acidic and cysteine rich, vitronectin and vimentin were identified from the PPI network. In conclusion, the present study identified DEGs and key genes in sorafenib-resistant HCC, which further the knowledge of potential mechanisms in the development of sorafenib resistance and may provide potential targets for early diagnosis and new treatments for sorafenib-resistant HCC.

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.

Genome-wide association analysis identifies a GLUL haplotype for familial hepatitis B virus-related hepatocellular carcinoma

BACKGROUND

A family history of liver cancer increases the risk of developing hepatocellular carcinoma (HCC) by 2-fold to 10-fold among patients with chronic hepatitis B virus (HBV). Previous genome-wide association studies have identified many possible susceptible loci associated with sporadic HBV-related HCC. However, despite family history being a well-known risk factor for HBV-related HCC, to the authors' knowledge its genetic mechanisms and associating loci remain largely unknown or unexplored, most likely due to the relative rarity of familial HCC and the difficulty of sample collection.

METHODS

The authors conducted a genome-wide association study with 139 male cases with familial HBV-related HCC and 139 non-HCC male controls with chronic HBV. The results were corroborated further with an independent cohort of 101 patients with familial HBV-related HCC and comparison with both the 1000 Genomes Project and the Taiwan Biobank.

RESULTS

A total of 51 risk single-nucleotide polymorphisms (P≤1E-04) were identified in the association analyses, which included 2 clusters of associated single-nucleotide polymorphisms and haplotypes at 1q25.3 (glutamate-ammonia ligase [GLUL]/transmembrane epididymal protein 1 [TEDDM1]/long intergenic non-protein-coding RNA 272 [LINC00272]/regulator of G-protein signaling-like 1 [RGSL1]) and 17q11.2 (solute carrier family 13 member 2 [SLC13A2]/forkhead box N1 [FOXN1]). Both the GLUL and SLC13A2/FOXN1 haplotypes have large effect sizes and were found to be different from those found from genome-wide association studies of sporadic HCCs.

CONCLUSIONS

To the authors' knowledge, the current study is the first genome-wide association study to identify genetic factors for familial HBV-related HCC. The results identified 2 large effect susceptible haplotypes located at GLUL and SLC13A2/FOXN1. The current study findings also suggest different genetic susceptibility between familial and sporadic HBV-related HCC. Cancer 2017;123:3966-76. © 2017 American Cancer Society.

Association of VEGFA polymorphisms with susceptibility and clinical outcome of hepatocellular carcinoma in a Chinese Han population

Vascular endothelial growth factor A (VEGFA) is an important angiogenesis regulator, which plays an important role in angiogenesis and progression of tumor, including hepatocellular carcinoma (HCC). We aimed at determining whether single nucleotide polymorphisms of VEGFA gene influence the development and clinical outcomes of HCC. We analyzed four potential functional polymorphisms (936C/T, 634G/C, 1612G/A, 2578C/A) of VEGFA gene in 476 HCC patients and 526 controls using matrix-assisted laser desorption ionization time-of-flight mass spectrometry method. Serum VEGF levels were measured by enzyme-linked immunosorbent assay. The Kaplan-Meier methods with log-rank test and Cox regression models were used to compare survival of resected HCC patients according to the genotype. We found that only the VEGFA 2578C/A polymorphism was significantly associated with decreased risk of HCC (AA/AC vs. CC; adjusted OR = 0.69, 95% CI = 0.51-0.93). Furthermore, the 2578C/A polymorphism was associated with significantly decreased postoperative recurrence (AA/AC vs. CC, adjusted OR = 0.51; 95% CI, 0.29-0.88) and improved overall survival (AA/AC vs. CC, adjusted HR = 0.27, 95% CI = 0.13-0.52) of resected HCC patients. In addition, the VEGF serum levels in HCC patients were significantly higher than those in healthy controls, although no significant association between VEGFA genotype and serum levels of VEGF was observed. These results suggest that the VEGFA 2578 C/A polymorphism may play a potential role in the development and clinical outcome of HCC among Chinese Han population.

Concurrent fatty liver increases risk of hepatocellular carcinoma among patients with chronic hepatitis B

BACKGROUND AND AIMS

Concurrent fatty liver in hepatitis B virus (HBV)-infected patients without significant alcohol intake is a frequent and increasingly alarming problem because of the non-alcoholic fatty liver disease pandemic. The risk of HBV-related hepatocellular carcinoma (HCC) development was increased by concomitant obesity and diabetes. Direct evidence of the hepatocarcinogenic effect of fatty liver in chronic HBV remains elusive. We aimed to evaluate the risk of concurrent histologically proven fatty liver in HBV hepatocarcinogenesis.

METHODS

We conducted a retrospective cohort study on a liver biopsy cohort of HBV-infected patients without significant alcohol intake to evaluate the prevalence of concurrent histologically proven fatty liver and its association with subsequent HCC development. We also examined nine polymorphisms on six non-alcoholic fatty liver disease-related candidate genes (ADIPOQ, APOC3, GCKR, LEPR, PNPLA3, and PPARG).

RESULTS

Among 270 HBV-infected patients, concurrent fatty liver was found in 107 patients (39.6%) and was associated with metabolic risks, cirrhosis (P = 0.016) and PNPLA3 rs738409 CG/GG genotype (P = 0.002). At a median follow-up of 79.9 months, 11 patients (4.1%) developed HCC, and nine of them had concurrent fatty liver. By multivariable Cox analysis, concurrent fatty liver (HR 7.27, 95% confidence interval: 1.52-34.76; P = 0.013), age, cirrhosis, and APOC3 rs2854116 TC/CC genotype (HR 3.93, 95% confidence interval: 1.30-11.84; P = 0.013) were independent factors predicting HCC development.

CONCLUSIONS

Concurrent fatty liver is common in HBV-infected patients and an independent risk factor potentiating HBV-associated HCC development by 7.3-fold. The risk of HBV-related HCC is increased by APOC3 gene polymorphism, and further characterization is required by its role.

Familial Hepatocellular Carcinoma- First Reported Case from India

Familial clustering of Hepatocellular Carcinoma (HCC) is commonly observed in various parts of the world including China and Eastern Asia where HBV is endemic while in western world, genetic factors and metabolic disorders may play an important role. In India, HCC is considered to be a rare tumour and till date no case of familial HCC has been reported here. Therefore the present case demonstrates rare occurrence of familial HCC which is being reported for the first time from India on cytology. The case also highlights an unusual feature that it was not associated with any risk factor including HBV, HCV infection, alcoholism, obesity, diabetes or smoking suggesting its independent association with genetic factors. Cytology is uncomplicated diagnostic tool for HCC and may be useful for its early diagnosis. This case also highlights the importance of early surveillance and follow up of blood relatives for every case of HCC so that early diagnosis and management of familial HCC is possible.

Identification of genes related to hepatocellular carcinoma metastasis by a combined transcriptomics and proteomics approach

AIM: To screening key genes related to hepatocellular carcinoma (HCC) metastasis by high-throughput transcriptomics sequencing and serum proteomics.

METHODS: Differentially expressed genes between liver cancer cells Smmc-7721 and normal liver cells L-02 were analyzed by Ion Proton™ high-throughput sequencing. Bioinformatics methods were used to perform GO annotation, clustering and enrichment analysis. Ten serum samples from HCC patients and 10 normal serum samples were recruited to detect the differential protein expression by isobaric tags for relative and absolute quantitation (iTRAQ) and matrix-assisted laser desorption/ionization tandem time of flight mass spectrometry (MALDI-TOF/MS). The transcriptomics data and serum proteomics data were analyzed together to screen key genes related to HCC metastasis. Then, a screened key gene was verified by immunohistochemistry in 76 HCC and adjacent tissues.

RESULTS: A total of 618 differentially expressed genes (DEGs) in liver cancer cells were identified by transcriptome sequencing, and the gene functions were enriched in 14 terms, including metastasis process, transcription and REDOX process, among which metastasis process owned the most DEGs [15.05% (93/618)]. The proteomics data showed that a total of 69 differentially expressed proteins in HCC were detected, including 33 up-regulated and 36 down-regulated ones. Combination analysis found three common factors in transcriptomics and proteomics, among which heat shock protein 90 AA1 (HSP90AA1) was up-regulated in HCC and presented the most significant ratio. According to the immunohistochemical results, the strongly positive rates of HSP90α in HCC with portal vein metastasis and without were 66.7% (16/24) and 25% (13/52), respectively (P < 0.005). HSP90α was overexpressed in HCC with portal vein metastasis.

CONCLUSION: Transcriptomics and proteomics analysis revealed that HSP90AA1 might be a key gene related to HCC metastasis.

Gene expression profiling of MYC-driven tumor signatures in porcine liver stem cells by transcriptome sequencing

AIM: To identify the genes induced and regulated by the MYC protein in generating tumors from liver stem cells.

METHODS: In this study, we have used an immortal porcine liver stem cell line, PICM-19, to study the role of c-MYC in hepatocarcinogenesis. PICM-19 cells were converted into cancer cells (PICM-19-CSCs) by overexpressing human MYC. To identify MYC-driven differential gene expression, transcriptome sequencing was carried out by RNA sequencing, and genes identified by this method were validated using real-time PCR. In vivo tumorigenicity studies were then conducted by injecting PICM-19-CSCs into the flanks of immunodeficient mice.

RESULTS: Our results showed that MYC-overexpressing PICM-19 stem cells formed tumors in immunodeficient mice demonstrating that a single oncogene was sufficient to convert them into cancer cells (PICM-19-CSCs). By using comparative bioinformatics analyses, we have determined that > 1000 genes were differentially expressed between PICM-19 and PICM-19-CSCs. Gene ontology analysis further showed that the MYC-induced, altered gene expression was primarily associated with various cellular processes, such as metabolism, cell adhesion, growth and proliferation, cell cycle, inflammation and tumorigenesis. Interestingly, six genes expressed by PICM-19 cells (CDO1, C22orf39, DKK2, ENPEP, GPX6, SRPX2) were completely silenced after MYC-induction in PICM-19-CSCs, suggesting that the absence of these genes may be critical for inducing tumorigenesis.

CONCLUSION: MYC-driven genes may serve as promising candidates for the development of hepatocellular carcinoma therapeutics that would not have deleterious effects on other cell types in the liver.