Wentao Wang

Wentao Wang

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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7 December 2018 in Journal of Cellular Biochemistry
Verified
Journal Article
Closed access
PDF file
SSShu Shen
Shu Shen
JKJunjie Kong
Junjie Kong
YQYiwen Qiu
Yiwen Qiu
XYXianwei Yang
Xianwei Yang
WWWentao Wang
Wentao Wang
LYLvnan Yan
Lvnan Yan

27 May 2022 in Frontiers in Immunology
Verified
Journal Article
Open access
TWTao Wang
Tao Wang
LDLiqun Dai
Liqun Dai
SSShu Shen
Shu Shen
YYYi Yang
Yi Yang
MYMing Yang
Ming Yang
WWWentao Wang
Wentao Wang
Macrophages have been reported to exert a crucial role in hepatocellular carcinoma (HCC). This study aimed to explore the macrophage-related genes and establish a macrophage-related signature (MRS) model to predict the overall survival (OS) of patients with HCC based on these genes’ expression. We screened the macrophage-related gene module by weighted gene coexpression network analysis (WGCNA), the least absolute shrinkage and selection operator (LASSO) Cox regression analysis was utilized for further selection, and the selected genes were entered into stepwise regression to develop the MRS model, which was further validated in the Gene Expression Omnibus (GEO) and International Cancer Genome Consortium (ICGC) datasets. We analyzed the biological phenotypes associated with macrophages in terms of functional enrichment, tumor immune signature, and tumor mutational signature. The patient’s response to immunotherapy was inferred by the tumor immune dysfunction and exclusion (TIDE) score, the immunophenotype score (IPS), and the IMvigor210 dataset. A novel MRS model was established based on the LASSO regression coefficients of the genes PON1, IL15RA, NEIL3, HILPDA, PFN2, HAVCR1, ANXA10, CDCA8, EPO, S100A9, TTK, KLRB1, SPP1, STC2, CYP26B1, GPC1, G6PD, and CBX2. In either dataset, MRS was identified as an independent risk factor for OS in HCC patients. Additionally, our research indicated that a high-risk score in the MRS model was significantly correlated with tumor staging, pathological grade, tumor–node–metastasis (TNM) stage, and survival. Several genes of the human leukocyte antigen (HLA) family and immune checkpoints were highly expressed in the high-risk group. In addition, the frequency of tumor mutations was also higher in the high-risk group. According to our analyses, a higher risk score in the MRS model may predict a better response to immunotherapy.

12 December 2017 in American Journal of Transplantation
Verified
Journal Article
Open access
PDF file
XYXianwei Yang
Xianwei Yang
YQYiwen Qiu
Yiwen Qiu
BHBin Huang
Bin Huang
WWWentao Wang
Wentao Wang
SSShu Shen
Shu Shen
LYLunan Yan
Lunan Yan
Ex vivo liver resection combined with autotransplantation is a recently introduced approach to cure end‐stage hepatic alveolar echinococcosis (HAE), which is considered unresectable by conventional radical resection due to echinococcal dissemination into the crucial intrahepatic conduits and adjacent structures. This article aims discuss the manipulation details and propose reasonable indications for this promising technique. All patients successfully underwent liver autotransplantation with no intraoperative mortality. The median weight of the autografts was 636 g (360‐1300 g), the median operation time was 12.5 hours (9.4‐19.5 hours), and the median anhepatic phase was 309 minutes (180‐ 460 minutes). Intraoperative blood loss averaged 1800 mL (1200‐6000 mL). Postoperative complications occurred in 13 patients during hospitalization; 5 patients experienced postoperative complications classified as Clavien‐Dindo grade III or higher, and 2 patients died of intraabdominal bleeding and acute cerebral hemorrhage, respectively. Twenty‐nine patients were followed for a median of 14.0 months (3‐42 months), and no HAE recurrence was detected. The technique requires neither an organ donor nor any postoperative immunosuppressant, and the success of the treatment relies on meticulous preoperative assessments and precise surgical manipulation.

1 January 2020 in BioMed Research International
Verified
Journal Article
Open access
PDF file
LYLingpeng Yang
Lingpeng Yang
YHYang He
Yang He
ZZZifei Zhang
Zifei Zhang
WWWentao Wang
Wentao Wang
Purpose. This study was performed to investigate the association of CEP55 expression with liver cancer and explore potential underlying mechanisms. Materials and Methods. Data obtained from The Cancer Genome Atlas (TCGA) was used to investigate CEP55 expression, its prognostic value, the potential mechanisms of its upregulation, CEP55‐related pathways, and its biological functions in liver cancer. Data from Gene Expression Omnibus (GEO) and International Cancer Genome Consortium (ICGC) was used to validate survival analysis. The correlation between CEP55 and tumor‐infiltrating immune cells (TIICs) in liver cancer was determined by using Tumor Immune Estimation Resource (TIMER). Results. CEP55 was significantly overexpressed in the liver tumor sample compared to the adjacent normal liver sample. High CEP55 expression was significantly associated with histological grade, advanced stages, histological type, high T classification, and survival status. High CEP55 expression was significantly related to dismal prognosis compared with low CEP55 expression, which was validated by the GSE54236 dataset and ICGC database. Meanwhile, CEP55 was identified as the risk factor to independently predict overall survival (OS) for patients with liver cancer upon multivariate analysis. Enrichment analysis indicated that cell cycle, DNA replication, pathways in cancer, mTOR signaling pathway, and VEGF signaling pathway were significantly enriched in the high CEP55 expression group. In addition, the CEP55 expression was significantly related to the infiltration level of B cells, CD4+ T cells, CD8+ T cells, macrophages, neutrophils, and dendritic cells in hepatocellular carcinoma (HCC). CEP55 methylation level was negatively correlated to its mRNA expression. And patients with CEP55 hypermethylation and low expression can achieve a better prognosis than those with CEP55 hypomethylation and high expression. Conclusion. CEP55 may serve as a candidate treatment target for it is a determinant of prognosis and immune infiltration in liver cancer patients. DNA hypomethylation might contribute to the overexpression of CEP55 in liver cancer.

1 February 2019 in International Journal of Infectious Diseases
Verified
Journal Article
Open access
SSShu Shen
Shu Shen
JKJunjie Kong
Junjie Kong
YQYiwen Qiu
Yiwen Qiu
SZShenglong Zhang
Shenglong Zhang
YQYan Qin
Yan Qin
WWWentao Wang
Wentao Wang
The aim of this study was to compare the clinical outcomes of ex vivo liver resection and autotransplantation (ERAT) with allotransplantation in patients with end-stage hepatic alveolar echinococcosis (HAE). From January 2008 to October 2017, 41 of 254 patients with end-stage HAE fulfilled the inclusion criteria (ERAT group, n=35; allotransplantation group, n=6). Each group was assessed for indications and short- and long-term outcomes. The intraoperative mortality was zero in both groups. Two patients died after ERAT due to intra-abdominal bleeding and acute cerebral hemorrhage. The most frequent postoperative complications were biliary complications, which occurred in six patients (14.6%). Parasite recurrence was recorded in two patients, at 16 months and 52 months after allotransplantation. The survival curve showed a longer survival time in the ERAT group than in the allotransplantation group (P=0.028). In the ERAT group, the 1-, 3-, and 5-year overall survival rates were all 100%. In the allotransplantation group, the 1-, 3-, and 5-year overall survival rates were 100%, 83.3%, and 66.7%, respectively. This appears to be the first series comparing ERAT with allotransplantation for end-stage HAE. ERAT may be a superior alternative to allotransplantation in some cases, as it requires neither an organ donor nor immunosuppressive therapy.

1 December 2019 in DNA and Cell Biology
Verified
Journal Article
Closed access
JKJunjie Kong
Junjie Kong
TWTao Wang
Tao Wang
ZZZifei Zhang
Zifei Zhang
XYXianwei Yang
Xianwei Yang
SSShu Shen
Shu Shen
WWWentao Wang
Wentao Wang
The molecular mechanism of tumorigenesis of the prevalent cancer hepatocellular carcinoma (HCC) is unclear. In this study, through weighted gene coexpression network analysis, a coexpression network was constructed by selecting the top 25% most variant genes in the dataset GSE62232. The average linkage hierarchical clustering identified 24 modules, and among them, the pink module associated with prognosis of HCC was screened. Five gene candidates (PCNA, RFC4, PTTG1, H2AFZ, and RRM1) with a common network in the module were screened after the protein–protein interaction network complex was combined with the coexpression network. After progression and survival analysis, all candidates were identified as real core genes. According to the Human Protein Atlas and the Oncomine database, these genes were dysregulated in HCC samples. The receiver operating characteristic curve proved that the expression levels of the core genes had high diagnostic efficacy. The results of gene set enrichment analysis and functional enrichment analysis demonstrated the importance of the cell cycle-related pathways in HCC progression and prognosis. In conclusion, the five real core genes and cell cycle-related pathways identified in this study could greatly improve the knowledge about HCC progression and contribute to HCC treatment.