Literature DB >> 31782107

Tumor promoting effects of glucagon receptor: a promising biomarker of papillary thyroid carcinoma via regulating EMT and P38/ERK pathways.

Hong-Chun Jiang1, Xiang-Ru Chen2, Hai-Feng Sun3, Yuan-Wen Nie4.   

Abstract

Glucagon is a crucial hormone involved in the maintenance of glucose homeostasis. Large efforts to define the role of glucagon receptor (GCGR) have been continuously made in recent years, but it is still incomplete about its function and mechanism. We performed this study to verify its potential impacts on papillary thyroid carcinoma (PTC) progression. Correlation between GCGR expression and PTC was elaborated using The Cancer Genome Atlas (TCGA) database. The Kaplan-Meier method was used to analyze the connection between GCGR expression and prognosis of PTC patients. GCGR expression was measured by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot analysis; simultaneously, cell viability was elucidated using cell proliferation and colony formation assays following siRNAs strategy. Transwell analyses were conducted to measure the invasion and migration of PTC cells. Flow cytometry analysis was conducted to examine apoptotic ability. The cAMP ELISA kit was employed to measure the cAMP level in PTC cells. Our data determined that the expression level of GCGR was increased in PTC tissues and cells in contrast to normal tissues and Nthy-ori 3-1, respectively. Up-regulated GCGR expression was linked with the lower survival rate in patients with PTC. Functional analysis in vitro suggested that GCGR knockdown attenuated PTC cell proliferation, colony formation, invasion, and migration whilst intensified apoptosis. Down-regulated GCGR was able to increase cAMP level. Furthermore, reduction of GCGR could result in the inactivation of epithelial-mesenchymal transition (EMT) and P38/ERK pathways. In conclusion, the findings of this study disclosed that GCGR promoted PTC cell behaviors by mediating the EMT and P38/ERK pathways, serving as a potential diagnostic and prognostic biomarker as well as therapeutic target for PTC.

Entities:  

Keywords:  Cell vitality; EMT; GCGR; P38/ERK; Papillary thyroid carcinoma

Mesh:

Substances:

Year:  2019        PMID: 31782107     DOI: 10.1007/s13577-019-00284-y

Source DB:  PubMed          Journal:  Hum Cell        ISSN: 0914-7470            Impact factor:   4.174


  46 in total

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5.  TBX1 Functions as a Tumor Suppressor in Thyroid Cancer Through Inhibiting the Activities of the PI3K/AKT and MAPK/ERK Pathways.

Authors:  Na Wang; Yiqi Li; Jing Wei; Jun Pu; Rui Liu; Qi Yang; Haixia Guan; Bingyin Shi; Peng Hou; Meiju Ji
Journal:  Thyroid       Date:  2019-02-15       Impact factor: 6.568

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Authors:  Emre Gezer; Alev Selek; İlhan Tarkun; Zeynep Cantürk; Berrin Çetinarslan
Journal:  J Med Case Rep       Date:  2019-04-20

9.  The Highly Expressed FAM83F Protein in Papillary Thyroid Cancer Exerts a Pro-Oncogenic Role in Thyroid Follicular Cells.

Authors:  Cesar Seigi Fuziwara; Kelly Cristina Saito; Suzana Garcia Leoni; Ângela Flávia Logullo Waitzberg; Edna Teruko Kimura
Journal:  Front Endocrinol (Lausanne)       Date:  2019-03-01       Impact factor: 5.555

10.  LncRNA ENST00000539653 acts as an oncogenic factor via MAPK signalling in papillary thyroid cancer.

Authors:  Bin Song; Rurun Li; Zhihua Zuo; Juan Tan; Ling Liu; Dafa Ding; Yibing Lu; Dawei Hou
Journal:  BMC Cancer       Date:  2019-04-02       Impact factor: 4.430

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Journal:  J Gastrointest Oncol       Date:  2022-06

2.  Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer.

Authors:  Qiang Li; Sheng Jiang; Tienan Feng; Tengteng Zhu; Biyun Qian
Journal:  Onco Targets Ther       Date:  2021-05-12       Impact factor: 4.147

3.  Association of a Novel Prognosis Model with Tumor Mutation Burden and Tumor-Infiltrating Immune Cells in Thyroid Carcinoma.

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Journal:  Front Genet       Date:  2021-12-17       Impact factor: 4.599

4.  Construction of a predictive model for immunotherapy efficacy in lung squamous cell carcinoma based on the degree of tumor-infiltrating immune cells and molecular typing.

Authors:  Lingge Yang; Shuli Wei; Jingnan Zhang; Qiongjie Hu; Wansong Hu; Mengqing Cao; Long Zhang; Yongfang Wang; Pingli Wang; Kai Wang
Journal:  J Transl Med       Date:  2022-08-12       Impact factor: 8.440

  4 in total

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