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Prognostic value of DKK2 from the Dickkopf family in human breast cancer

Breast cancer is one of the most frequently diagnosed types of cancer with a high mortality and malignancy rate in women worldwide. The Dickkopf (DKK) protein family, as a canonical Wnt/β-catenin pathway antagonist, has been implicated in both physiological and pathological processes. This study aim...

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Autores principales: Shao, You-Cheng, Nie, Xiao-Cui, Song, Guo-Qing, Wei, Yan, Xia, Pu, Xu, Xiao-Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203157/
https://www.ncbi.nlm.nih.gov/pubmed/30320375
http://dx.doi.org/10.3892/ijo.2018.4588
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author Shao, You-Cheng
Nie, Xiao-Cui
Song, Guo-Qing
Wei, Yan
Xia, Pu
Xu, Xiao-Yan
author_facet Shao, You-Cheng
Nie, Xiao-Cui
Song, Guo-Qing
Wei, Yan
Xia, Pu
Xu, Xiao-Yan
author_sort Shao, You-Cheng
collection PubMed
description Breast cancer is one of the most frequently diagnosed types of cancer with a high mortality and malignancy rate in women worldwide. The Dickkopf (DKK) protein family, as a canonical Wnt/β-catenin pathway antagonist, has been implicated in both physiological and pathological processes. This study aimed to comprehensively characterize the prognostic value and elucidate the mechanisms of DKKs in breast cancer and its subtypes. Firstly, DKK mRNA expression and corresponding outcome were analyzed by means of the Gene Expression-Based Outcome for Breast Cancer Online (GOBO) platform based on PAM50 intrinsic breast cancer subtypes. Subsequently, we extracted breast cancer datasets from the Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) to validate the expression profile and prognostic values from the GOBO platform. Moreover, a protein-protein network was created and functional enrichment was conducted to explore the underlying mechanisms of action of the DKKs. In addition, we uncovered the genetic and epigenetic alterations of DKK2 in breast cancer. The main finding of this study was the differential roles of DKKs in the PAM50 subtypes of breast cancer analyzed. The overall trend was that a high level of DKK2 was associated with a good survival in breast cancer, although it played an opposite role in the Normal-like subtype. We also found that DKK2 carried out its functions through multiple signaling pathways, not limited to the Wnt/β-catenin cascade in breast cancer. Finally, we used our own data to validate the bioinformatics analysis data for DKK2 by RT-qPCR. Taken together, our findings suggest that DKK2 may be a potential prognostic biomarker for the Normal-like subtype of breast cancer. However, the prognostic role of DKKs in the subtypes of breast cancer still requires validation by larger sample studies in the future.
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spelling pubmed-62031572018-11-09 Prognostic value of DKK2 from the Dickkopf family in human breast cancer Shao, You-Cheng Nie, Xiao-Cui Song, Guo-Qing Wei, Yan Xia, Pu Xu, Xiao-Yan Int J Oncol Articles Breast cancer is one of the most frequently diagnosed types of cancer with a high mortality and malignancy rate in women worldwide. The Dickkopf (DKK) protein family, as a canonical Wnt/β-catenin pathway antagonist, has been implicated in both physiological and pathological processes. This study aimed to comprehensively characterize the prognostic value and elucidate the mechanisms of DKKs in breast cancer and its subtypes. Firstly, DKK mRNA expression and corresponding outcome were analyzed by means of the Gene Expression-Based Outcome for Breast Cancer Online (GOBO) platform based on PAM50 intrinsic breast cancer subtypes. Subsequently, we extracted breast cancer datasets from the Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) to validate the expression profile and prognostic values from the GOBO platform. Moreover, a protein-protein network was created and functional enrichment was conducted to explore the underlying mechanisms of action of the DKKs. In addition, we uncovered the genetic and epigenetic alterations of DKK2 in breast cancer. The main finding of this study was the differential roles of DKKs in the PAM50 subtypes of breast cancer analyzed. The overall trend was that a high level of DKK2 was associated with a good survival in breast cancer, although it played an opposite role in the Normal-like subtype. We also found that DKK2 carried out its functions through multiple signaling pathways, not limited to the Wnt/β-catenin cascade in breast cancer. Finally, we used our own data to validate the bioinformatics analysis data for DKK2 by RT-qPCR. Taken together, our findings suggest that DKK2 may be a potential prognostic biomarker for the Normal-like subtype of breast cancer. However, the prognostic role of DKKs in the subtypes of breast cancer still requires validation by larger sample studies in the future. D.A. Spandidos 2018-10-09 /pmc/articles/PMC6203157/ /pubmed/30320375 http://dx.doi.org/10.3892/ijo.2018.4588 Text en Copyright: © Shao et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Shao, You-Cheng
Nie, Xiao-Cui
Song, Guo-Qing
Wei, Yan
Xia, Pu
Xu, Xiao-Yan
Prognostic value of DKK2 from the Dickkopf family in human breast cancer
title Prognostic value of DKK2 from the Dickkopf family in human breast cancer
title_full Prognostic value of DKK2 from the Dickkopf family in human breast cancer
title_fullStr Prognostic value of DKK2 from the Dickkopf family in human breast cancer
title_full_unstemmed Prognostic value of DKK2 from the Dickkopf family in human breast cancer
title_short Prognostic value of DKK2 from the Dickkopf family in human breast cancer
title_sort prognostic value of dkk2 from the dickkopf family in human breast cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203157/
https://www.ncbi.nlm.nih.gov/pubmed/30320375
http://dx.doi.org/10.3892/ijo.2018.4588
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