Cargando…

Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics

BACKGROUND: The Dickkopf1 (DKK1) gene encodes a protein that belongs to the Dickkopf family. The protein can inhibit the Wnt signaling pathway which plays a key role in the carcinogenesis and progression of various types of cancers. Based on this, we hypothesized that the differential expression of...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Ruqiong, Rodrìguez, Raquel Alarcòn, Mullor, Marìa del Mar Requena, Tan, Zhibiao, Gui, Yuchang, Hu, Jincui, Zhu, Tingpei, Huang, Xiaoxiao, Zhu, Yanyan, Xu, Jianwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214893/
https://www.ncbi.nlm.nih.gov/pubmed/32411775
http://dx.doi.org/10.21037/atm-20-3263
_version_ 1783532069427609600
author Wei, Ruqiong
Rodrìguez, Raquel Alarcòn
Mullor, Marìa del Mar Requena
Tan, Zhibiao
Gui, Yuchang
Hu, Jincui
Zhu, Tingpei
Huang, Xiaoxiao
Zhu, Yanyan
Xu, Jianwen
author_facet Wei, Ruqiong
Rodrìguez, Raquel Alarcòn
Mullor, Marìa del Mar Requena
Tan, Zhibiao
Gui, Yuchang
Hu, Jincui
Zhu, Tingpei
Huang, Xiaoxiao
Zhu, Yanyan
Xu, Jianwen
author_sort Wei, Ruqiong
collection PubMed
description BACKGROUND: The Dickkopf1 (DKK1) gene encodes a protein that belongs to the Dickkopf family. The protein can inhibit the Wnt signaling pathway which plays a key role in the carcinogenesis and progression of various types of cancers. Based on this, we hypothesized that the differential expression of DKK1 may figure significantly in cancers by regulating Wnt signaling pathway transduction. In this study, we conducted bioinformatics analysis to evaluate the prognostic and therapeutic value of DKK1 expression level in human cancers. METHODS: The expression level was analyzed by using the Oncomine database and Gene Expression Profiling Interactive Analysis tool. The analysis of prognosis was conducted by using the UALCAN, Gene Expression Profiling Interactive Analysis (GEPIA), and DriverDBv3 databases. We also investigated using DKK1 promoter methylation to define cancer types through the UALCAN database. Meanwhile, the related functional networks of DKK1 were analyzed by using the GeneMANIA interactive tool and Cytoscape software. Furthermore, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis was conducted using the Metascape online website, and we used the cBioPotartal database to explored DKK1 expression, aberrant information, and the co-expression genes in the subgroups of lung cancer. Finally, we performed the overall survival (OS) meta-analysis of the DKK1 expression in lung squamous cell carcinoma (LUSC) via the Lung Cancer Explorer (LCE). RESULTS: DKK1 was differentially expressed in different types of human cancers. DKK1 was overexpressed in human cancers including head and neck squamous cell carcinoma (HNSC), LUSC, and pancreatic adenocarcinoma (PAAD). Overexpression of DKK1 indicated adverse OS in bladder urothelial carcinoma (BLCA), HNSC, and PADD, but no difference in OS was found between the LUSC and healthy groups. The high expression of DKK1 was also associated with shorter disease-free survival (DFS) in HNSC, LUSC, and PAAD. Gene regulation network analysis indicated that DKK1 was mainly involved in Wnt signaling pathways and several other signaling pathways. CONCLUSIONS: Our findings showed that DKK1 is significantly expressed in various cancers and could be a biomarker for targeted therapy and a predictor for prognosis of these specific cancers. The bioinformatics analysis revealed a significant overexpression of DKK1 in HNSC, LUSC, and PAAD, with DKK1 overexpression being associated with adverse outcome in these patients, but how DKK1 expression levels relate to hematological malignancies and prognosis is still unclear. These new insights into the function of DKK1 may provide a basis for new targeted drug therapy and an avenue for further investigation into the mechanisms underlying carcinogenesis of DKK1 in different cancer types.
format Online
Article
Text
id pubmed-7214893
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-72148932020-05-14 Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics Wei, Ruqiong Rodrìguez, Raquel Alarcòn Mullor, Marìa del Mar Requena Tan, Zhibiao Gui, Yuchang Hu, Jincui Zhu, Tingpei Huang, Xiaoxiao Zhu, Yanyan Xu, Jianwen Ann Transl Med Original Article BACKGROUND: The Dickkopf1 (DKK1) gene encodes a protein that belongs to the Dickkopf family. The protein can inhibit the Wnt signaling pathway which plays a key role in the carcinogenesis and progression of various types of cancers. Based on this, we hypothesized that the differential expression of DKK1 may figure significantly in cancers by regulating Wnt signaling pathway transduction. In this study, we conducted bioinformatics analysis to evaluate the prognostic and therapeutic value of DKK1 expression level in human cancers. METHODS: The expression level was analyzed by using the Oncomine database and Gene Expression Profiling Interactive Analysis tool. The analysis of prognosis was conducted by using the UALCAN, Gene Expression Profiling Interactive Analysis (GEPIA), and DriverDBv3 databases. We also investigated using DKK1 promoter methylation to define cancer types through the UALCAN database. Meanwhile, the related functional networks of DKK1 were analyzed by using the GeneMANIA interactive tool and Cytoscape software. Furthermore, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis was conducted using the Metascape online website, and we used the cBioPotartal database to explored DKK1 expression, aberrant information, and the co-expression genes in the subgroups of lung cancer. Finally, we performed the overall survival (OS) meta-analysis of the DKK1 expression in lung squamous cell carcinoma (LUSC) via the Lung Cancer Explorer (LCE). RESULTS: DKK1 was differentially expressed in different types of human cancers. DKK1 was overexpressed in human cancers including head and neck squamous cell carcinoma (HNSC), LUSC, and pancreatic adenocarcinoma (PAAD). Overexpression of DKK1 indicated adverse OS in bladder urothelial carcinoma (BLCA), HNSC, and PADD, but no difference in OS was found between the LUSC and healthy groups. The high expression of DKK1 was also associated with shorter disease-free survival (DFS) in HNSC, LUSC, and PAAD. Gene regulation network analysis indicated that DKK1 was mainly involved in Wnt signaling pathways and several other signaling pathways. CONCLUSIONS: Our findings showed that DKK1 is significantly expressed in various cancers and could be a biomarker for targeted therapy and a predictor for prognosis of these specific cancers. The bioinformatics analysis revealed a significant overexpression of DKK1 in HNSC, LUSC, and PAAD, with DKK1 overexpression being associated with adverse outcome in these patients, but how DKK1 expression levels relate to hematological malignancies and prognosis is still unclear. These new insights into the function of DKK1 may provide a basis for new targeted drug therapy and an avenue for further investigation into the mechanisms underlying carcinogenesis of DKK1 in different cancer types. AME Publishing Company 2020-04 /pmc/articles/PMC7214893/ /pubmed/32411775 http://dx.doi.org/10.21037/atm-20-3263 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wei, Ruqiong
Rodrìguez, Raquel Alarcòn
Mullor, Marìa del Mar Requena
Tan, Zhibiao
Gui, Yuchang
Hu, Jincui
Zhu, Tingpei
Huang, Xiaoxiao
Zhu, Yanyan
Xu, Jianwen
Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics
title Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics
title_full Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics
title_fullStr Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics
title_full_unstemmed Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics
title_short Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics
title_sort analyzing the prognostic value of dkk1 expression in human cancers based on bioinformatics
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214893/
https://www.ncbi.nlm.nih.gov/pubmed/32411775
http://dx.doi.org/10.21037/atm-20-3263
work_keys_str_mv AT weiruqiong analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT rodriguezraquelalarcon analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT mullormariadelmarrequena analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT tanzhibiao analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT guiyuchang analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT hujincui analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT zhutingpei analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT huangxiaoxiao analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT zhuyanyan analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics
AT xujianwen analyzingtheprognosticvalueofdkk1expressioninhumancancersbasedonbioinformatics