Pei-Yao Fu

Dr. Pei-Yao Fu

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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12 April 2022 in Cancer Discovery
Verified
Journal Article
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BHBo Hu
Bo Hu
MYMincheng Yu
Mincheng Yu
XMXiaolu Ma
Xiaolu Ma
JSJialei Sun
Jialei Sun
CLChenglong Liu
Chenglong Liu
JFJia Fan
Jia Fan
The overall response rate for anti–PD-1 therapy remains modest in hepatocellular carcinoma (HCC). We found that a combination of IFNα and anti–PD-1–based immunotherapy resulted in enhanced antitumor activity in patients with unresectable HCC. In both immunocompetent orthotopic and spontaneous HCC models, IFNα therapy synergized with anti–PD-1 and the combination treatment led to significant enrichment of cytotoxic CD27+CD8+ T cells. Mechanistically, IFNα suppressed HIF1α signaling by inhibiting FosB transcription in HCC cells, resulting in reduced glucose consumption capacity and consequentially establishing a high-glucose microenvironment that fostered transcription of the T-cell costimulatory molecule Cd27 via mTOR–FOXM1 signaling in infiltrating CD8+ T cells. Together, these data reveal that IFNα reprograms glucose metabolism within the HCC tumor microenvironment, thereby liberating T-cell cytotoxic capacities and potentiating the PD-1 blockade–induced immune response. Our findings suggest that IFNα and anti–PD-1 cotreatment is an effective novel combination strategy for patients with HCC. Significance: Our study supports a role of tumor glucose metabolism in IFNα-mediated antitumor immunity in HCC, and tumor-infiltrating CD27+CD8+ T cells may be a promising biomarker for stratifying patients for anti–PD-1 therapy. See related commentary by Kao et al., p. 1615. This article is highlighted in the In This Issue feature, p. 1599

26 February 2018 in Journal of Hematology & Oncology
Verified
Journal Article
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BHBo Hu
Bo Hu
GDGuang-Yu Ding
Guang-Yu Ding
PFPei-Yao Fu
Pei-Yao Fu
XZXiao-Dong Zhu
Xiao-Dong Zhu
YJYuan Ji
Yuan Ji
CHCheng Huang
Cheng Huang
This study was performed to investigate the role of nucleotide-binding oligomerization domain (NOD)-like receptor X1 (NLRX1) in regulating hepatocellular carcinoma (HCC) progression. Expression levels of NLRX1 in clinical specimens and cell lines were determined by reverse transcription-polymerase chain reaction (RT-PCR) and western blot (WB). Transwell assays were conducted to evaluate the effect of NLRX1 on cell invasion, and flow cytometry was used to assess apoptosis. Expression patterns of key molecules in the phosphoinositide 3-kinase (PI3K)-AKT pathways were determined via WB. The effect of NLRX1 on cell senescence was evaluated with β-galactosidase assays. Kaplan-Meier analyses and Cox regression models were used for prognostic evaluation. NLRX1 was downregulated in tumor tissue compared with adjacent normal liver tissue. Low tumor NLRX1 expression was identified as an independent indicator for HCC prognosis (recurrence: hazard ratio [HR] 1.87, 95% confidence interval [CI] 1.26–2.76, overall survival [OS] 2.26, 95% CI 1.44–3.56). NLRX1 over-expression (OE) significantly inhibited invasiveness ability and induced apoptosis in HCC cells. In vivo experiments showed that NLRX1 knock-down (KD) significantly promoted HCC growth. Mechanistically, NLRX1 exhibited a suppressor function by decreasing phosphorylation of AKT and thus downregulating Snail1 expression, which inhibited epithelial-mesenchymal-transition (EMT) in HCC cells. Moreover, NLRX1 OE could induce cell senescence via an AKT-P21-dependent manner. NLRX1 acted as a tumor suppressor in HCC by inducing apoptosis, promoting senescence, and decreasing invasiveness by repressing PI3K-AKT signaling pathway. Future investigations will focus on restoring expression of NLRX1 to provide new insights into HCC treatment.

28 October 2018 in Journal of Cellular Biochemistry
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Journal Article
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PFPei-Yao Fu
Pei-Yao Fu
BHBo Hu
Bo Hu
XMXiao‐Lu Ma
Xiao‐Lu Ma
ZYZhang‐Fu Yang
Zhang‐Fu Yang
MYMin‐Cheng Yu
Min‐Cheng Yu
ZJZhou Jian
Zhou Jian

17 March 2021 in Genomics, Proteomics & Bioinformatics
Verified
Journal Article
Open access
BHBo Hu
Bo Hu
XMXiaolu Ma
Xiaolu Ma
PFPei-Yao Fu
Pei-Yao Fu
QSQiman Sun
Qiman Sun
WTWeiguo Tang
Weiguo Tang
YXYang Xu
Yang Xu
The aim of this study was to identify novel prognostic mRNA and microRNA (miRNA) biomarkers for hepatocellular carcinoma (HCC) using methods in systems biology. Differentially expressed mRNAs, miRNAs, and long non-coding RNAs (lncRNAs) were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas (TCGA) database. Subsequently, a prognosis-associated mRNA co-expression network, an mRNA–miRNA regulatory network, and an mRNA–miRNA–lncRNA regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival analysis. Seven prognosis-associated mRNA co-expression modules were obtained by analyzing these differentially expressed mRNAs. An expression module including 120 mRNAs was significantly correlated with HCC patient survival. Combined with patient survival data, several mRNAs and miRNAs, including CHST4, SLC22A8, STC2, hsa-miR-326, and hsa-miR-21 were identified from the network to predict HCC patient prognosis. Clinical significance was investigated using tissue microarray analysis of samples from 258 patients with HCC. Functional annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related pathways. The present study provides a bioinformatics method for biomarker screening, leading to the identification of an integrated mRNA–miRNA–lncRNA regulatory network and their co-expression patterns in relation to predicting HCC patient survival.

1 January 2020 in BioMed Research International
Verified
Journal Article
Open access
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JHJin-Wu Hu
Jin-Wu Hu
GDGuang-Yu Ding
Guang-Yu Ding
PFPei-Yao Fu
Pei-Yao Fu
WTWei-Guo Tang
Wei-Guo Tang
QSQi-Man Sun
Qi-Man Sun
CHCheng Huang
Cheng Huang
Liver cancer is a lethal disease that is associated with poor prognosis. In order to identify the functionally important genes associated with liver cancer that may reveal novel therapeutic avenues, we performed integrated analysis to profile miRNA and mRNA expression levels for liver tumors compared to normal samples in The Cancer Genome Atlas (TCGA) database. We identified 405 differentially expressed genes and 233 differentially expressed miRNAs in tumor samples compared with controls. In addition, we also performed the pathway analysis and found that mitogen‐activated protein kinases (MAPKs) and G‐protein coupled receptor (GPCR) pathway were two of the top significant pathway nodes dysregulated in liver cancer. Furthermore, by examining these signaling networks, we discovered that FOS (Fos proto‐oncogene, AP‐1 transcription factor subunit), LAMC2 (laminin subunit gamma 2), and CALML3 (calmodulin like 3) were the most significant gene nodes with high degrees involved in liver cancer. The expression and disease prediction accuracy of FOS, LAMC2, CALML3, and their interacting miRNAs were further performed using a HCC cohort. Finally, we investigated the prognostic significance of FOS in another HCC cohort. Patients with higher FOS expression displayed significantly shorter time to recurrence (TTR) and overall survival (OS) compared with patients with lower expression. Collectively, our study demonstrates that FOS is a potential prognostic marker for liver cancer that may reveal a novel therapeutic avenue in this lethal disease.

7 October 2019 in Carcinogenesis
Verified
Journal Article
Closed access
PFPei-Yao Fu
Pei-Yao Fu
BHBo Hu
Bo Hu
XMXiao-Lu Ma
Xiao-Lu Ma
WTWei-Guo Tang
Wei-Guo Tang
ZYZhang-Fu Yang
Zhang-Fu Yang
JZJian Zhou
Jian Zhou
Previous research suggests that far upstream element-binding protein 1 (FUBP1) plays an important role in various tumors including epatocellular carcinoma (HCC). However, the role of FUBP1 in liver cancer remains controversial, and the regulatory pathway by FUBP1 awaits to be determined. This study aims to identify the role of FUBP1 in HCC progression. Our result shows that the high level of FUBP1 expression in HCC predicts poor prognosis after surgery. Overexpression of FUBP1 promotes HCC proliferation, invasion, and metastasis by activating transforming growth factor-β (TGF-β)/Smad pathway and enhancing epithelial-mesenchymal transition (EMT) in vitro and in vivo. Inhibitor of Thrombospondin-1 (LSKL) could inhibit HCC proliferation and invasion in vitro and in vivo by blocking the activation of TGF-β/Smad pathway mediated by thrombospondin-1 (THBS1). Our study identified the critical role of FUBP1-THBS1-TGF-β signaling axis in HCC and provides potentially new therapeutic modalities in HCC.