Wang liang

Prof. Wang liang

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2021 in Frontiers in Oncology
Verified
Journal Article
Open access
TZTao Zhang
Tao Zhang
YNYingli Nie
Yingli Nie
JGJian Gu
Jian Gu
KCKailin Cai
Kailin Cai
XCXiangdong Chen
Xiangdong Chen
WLWang liang
Wang liang
Hepatocellular carcinoma (HCC) is one of the leading causes of tumor-associated deaths worldwide. Despite great progress in early diagnosis and multidisciplinary tumor management, the long-term prognosis of HCC remains poor. Currently, metabolic reprogramming during tumor development is widely observed to support rapid growth and proliferation of cancer cells, and several metabolic targets that could be used as cancer biomarkers have been identified. The liver and mitochondria are the two centers of human metabolism at the whole organism and cellular levels, respectively. Thus, identification of prognostic biomarkers based on mitochondrial-related genes (Mito-RGs)—the coding-genes of proteins located in the mitochondria—that reflect metabolic changes associated with HCC could lead to better interventions for HCC patients. In the present study, we used HCC data from The Cancer Genome Atlas (TCGA) database to construct a classifier containing 10 Mito-RGs (ACOT7, ADPRHL2, ATAD3A, BSG, FAM72A, PDK3, PDSS1, RAD51C, TOMM34, and TRMU) for predicting the prognosis of HCC by using 10-fold Least Absolute Shrinkage and Selection Operation (LASSO) cross-validation Cox regression. Based on the risk score calculated by the classifier, the samples were divided into high- and low-risk groups. Gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), t-distributed stochastic neighbor embedding (t-SNE), and consensus clusterPlus algorithms were used to identify metabolic pathways that were significantly different between the high- and low-risk groups. We further investigated the relationship between metabolic status and infiltration of immune cells into HCC tumor samples by using the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm combined with the Tumor Immune Estimation Resource (TIMER) database. Our results showed that the classifier based on Mito-RGs could act as an independent biomarker for predicting survival of HCC patients. Repression of primary bile acid biosynthesis plays a vital role in the development and poor prognosis of HCC, which provides a potential approach to treatment. Our study revealed cross-talk between bile acid and infiltration of tumors by immune cells, which may provide novel insight into immunotherapy of HCC. Furthermore, our research may provide a novel method for HCC metabolic therapy based on modulation of mitochondrial function.

1 November 2018 in Oncology Reports
Verified
Journal Article
Open access
PDF file
TZTao Zhang
Tao Zhang
JGJianrong Guo
Jianrong Guo
JGJian Gu
Jian Gu
ZWZheng Wang
Zheng Wang
GWGuobin Wang
Guobin Wang
WLWang liang
Wang liang
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.

17 March 2020 in Shock
Verified
Journal Article
Closed access
JGJian Gu
Jian Gu
TZTao Zhang
Tao Zhang
JGJianrong Guo
Jianrong Guo
KCKe Chen
Ke Chen
HLHuili Li
Huili Li
WLWang liang
Wang liang
Hepatic ischemia/reperfusion (I/R) injury is a major concern in liver surgery settings. Mitochondria are critical targets or the origin of tissue injury, particularly I/R injury. Mitophagy, a selective form of autophagy, is a fundamental process that removes damaged or unwanted mitochondria for mitochondrial quality control, but its role in hepatic I/R remains unclear. In the present study, we investigated the role of mitophagy in hepatic I/R by focusing on PTEN-induced putative kinase 1 (PINK1). Livers from 10-week-old mice and primary hepatocytes were subjected to in vivo hepatic I/R and in vitro hypoxia-reoxygenation (H/R), respectively. Analyses of oxidative stress, immunoblotting, and ATP generation showed that hepatic I/R leads to mitochondrial damage. Dysfunctional mitochondria promoted reactive oxygen species (ROS) production and apoptosis. Hepatic I/R led to decreases in the mitochondrial proteins COX4 and TOM20 and mitochondrial DNA and increases in the autophagy-related indicators LC3 and P62, which indicates that hepatic I/R promotes mitophagy. We found that I/R also leads to endoplasmic reticulum stress, which has frequent signal communication with mitochondria through the mitochondria-associated membranes (MAMs). We showed that the mitophagy-related proteins Parkin, Beclin, optineurin were enhanced in hepatic I/R. No significant change is in PINK1 but it translocated to MAMs region to initiate mitophagy. The silencing PINK1 by shRNA in cultured primary hepatocytes reduced the level of H/R-induced mitophagy, leading to the accumulation of dysfunctional mitochondria during H/R, increased production of ROS, mitochondria-induced apoptosis, and eventually hepatocyte death. Taken together, these findings indicate that PINK1-mediated mitophagy plays a key role in mitochondrial quality control and liver cell survival during I/R.

16 December 2019 in Oxidative Medicine and Cellular Longevity
Verified
Journal Article
Open access
PDF file
TZTao Zhang
Tao Zhang
JGJian Gu
Jian Gu
JGJianrong Guo
Jianrong Guo
KCKe Chen
Ke Chen
HLHuili Li
Huili Li
WLWang liang
Wang liang
Liver ischemia/reperfusion (IR) injury is a severe complication of liver surgery. Moreover, nonalcoholic fatty liver disease (NAFLD) patients are particularly vulnerable to IR injury, with higher rates of postoperative morbidity and mortality after liver surgeries. Our previous study found that renalase (RNLS) was highly sensitive and responsive to oxidative stress, which may be a promising biomarker for the evaluation of the severity of liver IR injury. However, the role of RNLS in liver IR injury remains unclear. In the present study, we intensively explored the role and mechanism of RNLS in fatty liver IR injury in vivo and in vitro. C57BL/6 mice were divided into 2 groups feeding with high-fat diet (HFD) and control diet (CD), respectively. After 20 weeks’ feeding, they were suffered from portal triad blockage and reflow to induce liver IR injury. Additionally, oleic acid (OA) and tert-butyl hydroperoxide (t-BHP) were used in vitro to induce steatotic hepatocytes and to simulate ROS burst and mimic cellular oxidative stress following portal triad blockage and reflow, respectively. Our data showed that RNLS was downregulated in fatty livers, and RNLS administration effectively attenuated IR injury by reducing ROS production and improving mitochondrial function through activating SIRT1. Additionally, the downregulation of RNLS in the fatty liver was mediated by a decrease of signal transduction and activator of transcription 3 (STAT3) expression under HFD conditions. These findings make RNLS a promising therapeutic strategy for the attenuation of liver IR injury.

13 November 2019 in Oxidative Medicine and Cellular Longevity
Verified
Journal Article
Open access
PDF file
TZTao Zhang
Tao Zhang
JGJianrong Guo
Jianrong Guo
JGJian Gu
Jian Gu
KCKe Chen
Ke Chen
HLHuili Li
Huili Li
WLWang liang
Wang liang
Liver ischemia/reperfusion (IR) injury is a common phenomenon after liver resection and transplantation, which often results in liver graft dysfunction such as delayed graft function and primary nonfunction. The mammalian target of rapamycin (mTOR) is an evolutionarily highly conserved serine/threonine protein kinase, which coordinates cell growth and metabolism through sensing environmental inputs under physiological or pathological conditions, involved in the pathophysiological process of IR injury. In this review, we mainly present current evidence of the beneficial role of mTOR in modulating inflammation and autophagy under liver IR to provide some evidence for the potential therapies for liver IR injury.

1 January 2019 in Journal of Cancer
Verified
Journal Article
Open access
TZTao Zhang
Tao Zhang
JGJianrong Guo
Jianrong Guo
JGJian Gu
Jian Gu
KCKe Chen
Ke Chen
ZWZheng Wang
Zheng Wang
WLWang liang
Wang liang
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths due to tumor invasiveness, frequent intrahepatic dissemination and extrahepatic metastasis. However, the genes and signaling pathways that are involved remain incompletely understood. In this study, weighted gene coexpression network analysis (WGCNA) was performed to jointly analyze clinical information and gene expression data to identify key genes associated with clinical features. Through the bioinformatic analysis, the yellow module and microvascular invasion (MVI) were found to be highly associated (r=0.41) by Pearson's correlation analysis, and 20 hub genes were identified with both high gene significance (GS) and high module membership (MM) in the yellow module. Among these genes, FoxM1 and KIAA0101 were upregulated in HCC with MVI and were significantly positively correlated in HCC samples, indicating a novel regulatory network in HCC microvascular invasion. Moreover, in vitro experiments demonstrated that KIAA0101 is a direct target of FoxM1 and that KIAA0101 is required for the FoxM1-induced promotion of HCC cell invasion and migration. In addition, the FoxM1-KIAA0101 axis promotes HCC metastasis by inducing epithelial-mesenchymal transition (EMT). In summary, KIAA0101 is a novel target of FoxM1 and contributes to HCC metastasis by activating EMT. The FoxM1-KIAA0101 axis might be applied as a potential prognostic biomarker and therapeutic target for HCC.