Prognostic value of hepatocyte nuclear factors 4α and 1α identified by tissue microarray in resectable hepatocellular carcinoma

Progressive loss of hepatocyte nuclear factor 4 alpha activity in chronic liver diseases in humans

BACKGROUND AND AIMS

Hepatocyte nuclear factor 4 alpha (HNF4α) is indispensable for hepatocyte differentiation and critical for maintaining liver health. Here, we demonstrate that loss of HNF4α activity is a crucial step in the pathogenesis of chronic liver diseases (CLDs) that lead to development of HCC.

APPROACH AND RESULTS

We developed an HNF4α target gene signature, which can accurately determine HNF4α activity, and performed an exhaustive in silico analysis using hierarchical and K-means clustering, survival, and rank-order analysis of 30 independent data sets containing over 3500 individual samples. The association of changes in HNF4α activity to CLD progression of various etiologies, including HCV- and HBV-induced liver cirrhosis (LC), NAFLD/NASH, and HCC, was determined. Results revealed a step-wise reduction in HNF4α activity with each progressive stage of pathogenesis. Cluster analysis of LC gene expression data sets using the HNF4α signature showed that loss of HNF4α activity was associated with progression of Child-Pugh class, faster decompensation, incidence of HCC, and lower survival with and without HCC. A moderate decrease in HNF4α activity was observed in NAFLD from normal liver, but a further significant decline was observed in patients from NAFLD to NASH. In HCC, loss of HNF4α activity was associated with advanced disease, increased inflammatory changes, portal vein thrombosis, and substantially lower survival.

CONCLUSIONS

In conclusion, these data indicate that loss of HNF4α function is a common event in the pathogenesis of CLDs leading to HCC and is important from both diagnostic and therapeutic standpoints.

Insights into the etiology-associated gene regulatory networks in hepatocellular carcinoma from The Cancer Genome Atlas

BACKGROUND AND AIM

Hepatitis B virus (HBV), hepatitis C virus, alcohol consumption, and non-alcoholic fatty liver disease are the major known risk factors for hepatocellular carcinoma (HCC). There have been very few studies comparing the underlying biological mechanisms associated with the different etiologies of HCC. In this study, we hypothesized the existence of different regulatory networks associated with different liver disease etiologies involved in hepatocarcinogenesis.

METHODS

Using upstream regulatory analysis tool in ingenuity pathway analysis software, upstream regulators (URs) were predicted using differential expressed genes for HCC to facilitate the interrogation of global gene regulation.

RESULTS

Analysis of regulatory networks for HBV HCC revealed E2F1 as activated UR, regulating genes involved in cell cycle and DNA replication, and HNF4A and HNF1A as inhibited UR. In hepatitis C virus HCC, interferon-γ, involved in cellular movement and signaling, was activated, while IL1RN, mitogen-activated protein kinase 1 involved in interleukin 22 signaling and immune response, was inhibited. In alcohol consumption HCC, ERBB2 involved in inflammatory response and cellular movement was activated, whereas HNF4A and NUPR1 were inhibited. For HCC derived from non-alcoholic fatty liver disease, miR-1249-5p was activated, and NUPR1 involved in cell cycle and apoptosis was inhibited. The prognostic value of representative genes identified in the regulatory networks for HBV HCC can be further validated by an independent HBV HCC dataset established in our laboratory with survival data.

CONCLUSIONS

Our study identified functionally distinct candidate URs for HCC developed from different etiologic risk factors. Further functional validation studies of these regulatory networks could facilitate the management of HCC towards personalized medicine.

Histological expression of methionine adenosyl transferase (MAT) 2A as a post-surgical prognostic surrogate in patients with hepatocellular carcinoma

BACKGROUND AND OBJECTIVES

Deregulation of methionine adenosyltransferase (MAT) is involved in hepatocarcinogenesis. This study aimed to investigate the prognostic implications of the level of histological MAT1A and MAT2A in patients with resected hepatocellular carcinoma (HCC).

METHODS

A total of 210 patients with HCC who underwent curative resection between 2004 and 2011 were included. The levels of MAT proteins were immunohistochemically measured.

RESULTS

MAT1A and MAT2A were over-expressed in 134 (63.8%) and 124 (59.1%) of the 210 tumor tissues, respectively. Up-regulation of tumoral MAT1A was independently associated with male gender, and inversely related to tumors >5 cm (adjusted odds ratios [OR] 2.59, P = 0.008, and OR 0.44, P = 0.012, respectively). Enhanced MAT2A expression was significantly related to age ≥60 years and serum AFP >200 ng/mL (OR 0.51, P = 0.030; and OR 2.65, P = 0.003; respectively). Tumoral MAT2A over-expression independently predicted an increased rate of recurrence within 1 year after hepatectomy (adjusted hazard ratio [HR] 2.45, P = 0.012), but that was not the case for MAT1A expression (HR 0.90, P = 0.744). High MAT2A was also an independent predictor of early recurrence (HR 2.54, P = 0.034) in the subset of patients without microvascular invasion (n = 155).

CONCLUSIONS

Over-expression of MAT2A in HCC may be a useful biomarker for predicting and monitoring tumor recurrence, especially early after hepatic resection.

Pregnane X receptor, constitutive androstane receptor and hepatocyte nuclear factors as emerging players in cancer precision medicine

Great research effort has been focused on elucidating the contribution of host genetic variability on pharmacological outcomes in cancer. Nuclear receptors have emerged as mediators between environmental stimuli and drug pharmacokinetics and pharmacodynamics. The pregnane X receptor, constitutive androstane receptor and hepatocyte nuclear factors have been reported to regulate transcription of genes that encode drug metabolizing enzymes and transporters. Altered nuclear receptor expression has been shown to affect the metabolism and pharmacological profile of traditional chemotherapeutics and targeted agents. Accordingly, polymorphic variants in these genes have been studied as pharmacogenetic markers of outcome variability. This review summarizes the state of knowledge about the roles played by pregnane X receptor, constitutive androstane receptor and hepatocyte nuclear factor expression and genetics as predictive markers of anticancer drug toxicity and efficacy, which can improve cancer precision medicine.