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ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments

The ADP‐ribosylation factor‐like proteins (ARLs) have been proved to regulate the malignant phenotypes of several cancers. However, the exact role of ARLs in gastric cancer (GC) remains elusive. In this study, we systematically investigate the expression status, interactive relations, potential path...

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Autores principales: Xie, Ning, Bai, Yunfan, Qiao, Lu, Bai, Yuru, Wu, Jian, Li, Yan, Jiang, Mingzuo, Xu, Bing, Ni, Zhen, Yuan, Ting, Shi, Yongquan, Wu, Kaichun, Xu, Feng, Wang, Jinhai, Dong, Lei, Liu, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051716/
https://www.ncbi.nlm.nih.gov/pubmed/33724652
http://dx.doi.org/10.1111/jcmm.16366
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author Xie, Ning
Bai, Yunfan
Qiao, Lu
Bai, Yuru
Wu, Jian
Li, Yan
Jiang, Mingzuo
Xu, Bing
Ni, Zhen
Yuan, Ting
Shi, Yongquan
Wu, Kaichun
Xu, Feng
Wang, Jinhai
Dong, Lei
Liu, Na
author_facet Xie, Ning
Bai, Yunfan
Qiao, Lu
Bai, Yuru
Wu, Jian
Li, Yan
Jiang, Mingzuo
Xu, Bing
Ni, Zhen
Yuan, Ting
Shi, Yongquan
Wu, Kaichun
Xu, Feng
Wang, Jinhai
Dong, Lei
Liu, Na
author_sort Xie, Ning
collection PubMed
description The ADP‐ribosylation factor‐like proteins (ARLs) have been proved to regulate the malignant phenotypes of several cancers. However, the exact role of ARLs in gastric cancer (GC) remains elusive. In this study, we systematically investigate the expression status, interactive relations, potential pathways, genetic variations and clinical values of ARLs in GC. We find that ARLs are significantly dysregulated in GC and involved in various cancer‐related pathways. Subsequently, machine learning models identify ARL4C as one of the two most significant clinical indicators among ARLs for GC. Furthermore, ARL4C silencing remarkably inhibits the growth and metastasis of GC cells both in vitro and in vivo. Moreover, enrichment analysis indicates that ARL4C is highly correlated with TGF‐β1 signalling. Correspondingly, TGF‐β1 treatment dramatically increases ARL4C expression and ARL4C knockdown inhibits the phosphorylation level of Smads, downstream factors of TGF‐β1. Meanwhile, the coexpression of ARL4C and TGF‐β1 worsens the prognosis of GC patients. Our work comprehensively demonstrates the crucial role of ARLs in the carcinogenesis of GC and the specific mechanisms underlying the GC‐promoting effects of TGF‐β1. More importantly, we uncover the great promise of ARL4C‐targeted therapy in improving the efficacy of TGF‐β1 inhibitors for GC patients.
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spelling pubmed-80517162021-04-21 ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments Xie, Ning Bai, Yunfan Qiao, Lu Bai, Yuru Wu, Jian Li, Yan Jiang, Mingzuo Xu, Bing Ni, Zhen Yuan, Ting Shi, Yongquan Wu, Kaichun Xu, Feng Wang, Jinhai Dong, Lei Liu, Na J Cell Mol Med Original Articles The ADP‐ribosylation factor‐like proteins (ARLs) have been proved to regulate the malignant phenotypes of several cancers. However, the exact role of ARLs in gastric cancer (GC) remains elusive. In this study, we systematically investigate the expression status, interactive relations, potential pathways, genetic variations and clinical values of ARLs in GC. We find that ARLs are significantly dysregulated in GC and involved in various cancer‐related pathways. Subsequently, machine learning models identify ARL4C as one of the two most significant clinical indicators among ARLs for GC. Furthermore, ARL4C silencing remarkably inhibits the growth and metastasis of GC cells both in vitro and in vivo. Moreover, enrichment analysis indicates that ARL4C is highly correlated with TGF‐β1 signalling. Correspondingly, TGF‐β1 treatment dramatically increases ARL4C expression and ARL4C knockdown inhibits the phosphorylation level of Smads, downstream factors of TGF‐β1. Meanwhile, the coexpression of ARL4C and TGF‐β1 worsens the prognosis of GC patients. Our work comprehensively demonstrates the crucial role of ARLs in the carcinogenesis of GC and the specific mechanisms underlying the GC‐promoting effects of TGF‐β1. More importantly, we uncover the great promise of ARL4C‐targeted therapy in improving the efficacy of TGF‐β1 inhibitors for GC patients. John Wiley and Sons Inc. 2021-03-16 2021-04 /pmc/articles/PMC8051716/ /pubmed/33724652 http://dx.doi.org/10.1111/jcmm.16366 Text en © 2021 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Xie, Ning
Bai, Yunfan
Qiao, Lu
Bai, Yuru
Wu, Jian
Li, Yan
Jiang, Mingzuo
Xu, Bing
Ni, Zhen
Yuan, Ting
Shi, Yongquan
Wu, Kaichun
Xu, Feng
Wang, Jinhai
Dong, Lei
Liu, Na
ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments
title ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments
title_full ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments
title_fullStr ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments
title_full_unstemmed ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments
title_short ARL4C might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments
title_sort arl4c might serve as a prognostic factor and a novel therapeutic target for gastric cancer: bioinformatics analyses and biological experiments
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051716/
https://www.ncbi.nlm.nih.gov/pubmed/33724652
http://dx.doi.org/10.1111/jcmm.16366
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