Literature DB >> 33336613

Glycogen phosphorylase B promotes cell proliferation and migration through PI3K/AKT pathway in non-small cell lung cancer.

Yiyi Zhan1, Ru Chen2, Tianhai Wang3, Shijun Shan4, Hongge Zhu1.   

Abstract

OBJECTIVE: Glycogen phosphorylase B (PYGB), the rate-determining enzyme in glycogen degradation, plays a critical role in progression of various tumors. The present study focused on the potential molecular mechanism toward PYGB in non-small cell lung cancer (NSCLC) progression.
METHODS: Expression of PYGB in NSCLC tissues and cell lines was evaluated via quantitative real-time PCR (qRT-PCR), western blot and immunohistochemistry. Cell viability, proliferation and apoptosis were investigated using 3-(4,5-Dimethylthiazol)-2,5-diphenyltetrazolium bromide (MTT) assay, 5-bromo-2-deoxyuridine (BrdU) and flow cytometry, respectively. Cell migration and invasion ability were detected by wound healing and transwell invasion assays, respectively. The in vivo effect of PYGB on NSCLC tumor growth was determined via subcutaneous xenotransplanted tumor model.
RESULTS: PYGB was upregulated in NSCLC tissues and cell lines, suggesting a poor prognosis in NSCLC patients. In vitro functional assays indicated that knockdown of PYGB suppressed cell viability, proliferation, migration and invasion, while promoted cell apoptosis in NSCLC. Mechanistically, we found that overexpression of PYGB could activate phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway, while these effects were effectively reversed by knockdown of PYGB. In vivo tumorigenesis and PI3K/AKT signaling pathway were also inhibited by PYGB knockdown.
CONCLUSIONS: Knockdown of PYGB suppressed NSCLC progression, suggesting PYGB as a novel biomarker and potential molecular therapeutic target for further investigation in NSCLC.

Entities:  

Keywords:  PI3K/AKT; PYGB; non-small cell lung cancer; progression

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Year:  2020        PMID: 33336613     DOI: 10.1080/01902148.2020.1864065

Source DB:  PubMed          Journal:  Exp Lung Res        ISSN: 0190-2148            Impact factor:   2.459


  2 in total

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Authors:  Giusy Ferraro; Matteo Mozzicafreddo; Roberta Ettari; Lorenzo Corsi; Maria Chiara Monti
Journal:  Int J Mol Sci       Date:  2022-07-25       Impact factor: 6.208

2.  Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancer.

Authors:  Jing Yu; Ting-Ting Liu; Lei-Lei Liang; Jing Liu; Hong-Qing Cai; Jia Zeng; Tian-Tian Wang; Jian Li; Lin Xiu; Ning Li; Ling-Ying Wu
Journal:  Cancer Cell Int       Date:  2021-07-06       Impact factor: 5.722

  2 in total

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