Cargando…

Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer

BACKGROUND: This study assessed the prognostic value of GLI1 in gastric cancer and analyzed the possible GLI1-related signaling network in chemosensitivity. MATERIAL/METHODS: Bioinformatic data mining was performed by using data in the TCGA-Stomach Cancer (TCGA-STAD) and the Kaplan-Meier plotter. GL...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Tao, Jia, Wenzhuo, An, Qi, Cao, Xianglong, Xiao, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890825/
https://www.ncbi.nlm.nih.gov/pubmed/29596399
http://dx.doi.org/10.12659/MSM.906176
_version_ 1783312923170439168
author Yu, Tao
Jia, Wenzhuo
An, Qi
Cao, Xianglong
Xiao, Gang
author_facet Yu, Tao
Jia, Wenzhuo
An, Qi
Cao, Xianglong
Xiao, Gang
author_sort Yu, Tao
collection PubMed
description BACKGROUND: This study assessed the prognostic value of GLI1 in gastric cancer and analyzed the possible GLI1-related signaling network in chemosensitivity. MATERIAL/METHODS: Bioinformatic data mining was performed by using data in the TCGA-Stomach Cancer (TCGA-STAD) and the Kaplan-Meier plotter. GLI1 co-expressed genes in TCGA-STAD were subjected to KEGG pathway analysis. The genes enriched in the KEGG pathways were further subjected to Protein-Protein Interaction (PPI) analysis. RESULTS: In TCGA-STAD, high GLI1 gene/exon expression was associated with significantly worse survival (p=0.016 and 0.0023 respectively). In the Kaplan-Meier plotter, high GLI1 expression was associated with unfavorable overall survival (OS) (HR: 1.68, 95%CI: 1.42–2, p<0.0001) and first progression-free survival (FPS) (HR: 1.72, 95%CI: 1.4–2.11, p<0.0001). In TCGA-STAD, 600 GLI1 co-expressed genes were identified (absolute Pearson’s r ≥0.5). The most significant pathways were pathways in cancer (p=230.0E-12) and the Hedgehog signaling pathway (p=6.9E-9). PI3K-AKT pathway (p=17.0E-9) has the largest proportion of gene enrichment. Some GLI1 co-expressed genes in the PI3K-AKT pathway are central nodes in the PPI network and also play important roles in chemosensitivity of gastric cancer. Nevertheless, the mechanisms underlying their co-expression are still largely unexplored. CONCLUSIONS: High GLI1 expression is associated with unfavorable OS and FPS in patients with gastric cancer. As a member of the Hedgehog signaling pathway, GLI1 co-expressed genes are also largely enriched in PI3K/AKT pathway in gastric cancer, which is closely related to chemoresistance. The underlying mechanisms are still largely unexplored and need further study.
format Online
Article
Text
id pubmed-5890825
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-58908252018-04-10 Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer Yu, Tao Jia, Wenzhuo An, Qi Cao, Xianglong Xiao, Gang Med Sci Monit Clinical Research BACKGROUND: This study assessed the prognostic value of GLI1 in gastric cancer and analyzed the possible GLI1-related signaling network in chemosensitivity. MATERIAL/METHODS: Bioinformatic data mining was performed by using data in the TCGA-Stomach Cancer (TCGA-STAD) and the Kaplan-Meier plotter. GLI1 co-expressed genes in TCGA-STAD were subjected to KEGG pathway analysis. The genes enriched in the KEGG pathways were further subjected to Protein-Protein Interaction (PPI) analysis. RESULTS: In TCGA-STAD, high GLI1 gene/exon expression was associated with significantly worse survival (p=0.016 and 0.0023 respectively). In the Kaplan-Meier plotter, high GLI1 expression was associated with unfavorable overall survival (OS) (HR: 1.68, 95%CI: 1.42–2, p<0.0001) and first progression-free survival (FPS) (HR: 1.72, 95%CI: 1.4–2.11, p<0.0001). In TCGA-STAD, 600 GLI1 co-expressed genes were identified (absolute Pearson’s r ≥0.5). The most significant pathways were pathways in cancer (p=230.0E-12) and the Hedgehog signaling pathway (p=6.9E-9). PI3K-AKT pathway (p=17.0E-9) has the largest proportion of gene enrichment. Some GLI1 co-expressed genes in the PI3K-AKT pathway are central nodes in the PPI network and also play important roles in chemosensitivity of gastric cancer. Nevertheless, the mechanisms underlying their co-expression are still largely unexplored. CONCLUSIONS: High GLI1 expression is associated with unfavorable OS and FPS in patients with gastric cancer. As a member of the Hedgehog signaling pathway, GLI1 co-expressed genes are also largely enriched in PI3K/AKT pathway in gastric cancer, which is closely related to chemoresistance. The underlying mechanisms are still largely unexplored and need further study. International Scientific Literature, Inc. 2018-03-29 /pmc/articles/PMC5890825/ /pubmed/29596399 http://dx.doi.org/10.12659/MSM.906176 Text en © Med Sci Monit, 2018 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Yu, Tao
Jia, Wenzhuo
An, Qi
Cao, Xianglong
Xiao, Gang
Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer
title Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer
title_full Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer
title_fullStr Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer
title_full_unstemmed Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer
title_short Bioinformatic Analysis of GLI1 and Related Signaling Pathways in Chemosensitivity of Gastric Cancer
title_sort bioinformatic analysis of gli1 and related signaling pathways in chemosensitivity of gastric cancer
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890825/
https://www.ncbi.nlm.nih.gov/pubmed/29596399
http://dx.doi.org/10.12659/MSM.906176
work_keys_str_mv AT yutao bioinformaticanalysisofgli1andrelatedsignalingpathwaysinchemosensitivityofgastriccancer
AT jiawenzhuo bioinformaticanalysisofgli1andrelatedsignalingpathwaysinchemosensitivityofgastriccancer
AT anqi bioinformaticanalysisofgli1andrelatedsignalingpathwaysinchemosensitivityofgastriccancer
AT caoxianglong bioinformaticanalysisofgli1andrelatedsignalingpathwaysinchemosensitivityofgastriccancer
AT xiaogang bioinformaticanalysisofgli1andrelatedsignalingpathwaysinchemosensitivityofgastriccancer