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An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer

BACKGROUND: S100 family genes exclusively encode at least 20 calcium-binding proteins, which possess a wide spectrum of intracellular and extracellular functions in vertebrates. Multiple lines of evidences suggest that dysregulated S100 proteins are associated with human malignancies including color...

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Autores principales: Zeng, Meng-Lu, Zhu, Xian-Jin, Liu, Jin, Shi, Peng-Chong, Kang, Yan-Li, Lin, Zhen, Cao, Ying-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718059/
https://www.ncbi.nlm.nih.gov/pubmed/33294444
http://dx.doi.org/10.1155/2020/4746929
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author Zeng, Meng-Lu
Zhu, Xian-Jin
Liu, Jin
Shi, Peng-Chong
Kang, Yan-Li
Lin, Zhen
Cao, Ying-Ping
author_facet Zeng, Meng-Lu
Zhu, Xian-Jin
Liu, Jin
Shi, Peng-Chong
Kang, Yan-Li
Lin, Zhen
Cao, Ying-Ping
author_sort Zeng, Meng-Lu
collection PubMed
description BACKGROUND: S100 family genes exclusively encode at least 20 calcium-binding proteins, which possess a wide spectrum of intracellular and extracellular functions in vertebrates. Multiple lines of evidences suggest that dysregulated S100 proteins are associated with human malignancies including colorectal cancer (CRC). However, the diverse expression patterns and prognostic roles of distinct S100 genes in CRC have not been fully elucidated. METHODS: In the current study, we analyzed the mRNA expression levels of S100 family genes and proteins and their associations with the survival of CRC patients using the Oncomine analysis and GEPIA databases. Expressions and mutations of S100 family genes were analyzed using the cBioPortal, and protein-protein interaction (PPI) networks of S100 proteins and their mutation-related coexpressed genes were analyzed using STRING and Cytoscape. RESULTS: We observed that the mRNA expression levels of S100A2, S100A3, S100A9, S100A11, and S100P were higher and the level of S100B was lower in CRC tissues than those in normal colon mucosa. A high S100A10 levels was associated with advanced-stage CRC. Results from GEPIA database showed that highly expressed S100A1 was correlated with worse overall survival (OS) and disease-free survival (DFS) and that overexpressions of S100A2 and S100A11 were associated with poor DFS of CRC, indicating that S100A1, S100A2, and S100A11 are potential prognostic markers. Unexpectedly, most of S100 family genes showed no significant prognostic values in CRC. CONCLUSIONS: Our findings, though still need to be ascertained, offer novel insights into the prognostic implications of the S100 family in CRC and will inspire more clinical trials to explore potential S100-targeted inhibitors for the treatment of CRC.
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spelling pubmed-77180592020-12-07 An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer Zeng, Meng-Lu Zhu, Xian-Jin Liu, Jin Shi, Peng-Chong Kang, Yan-Li Lin, Zhen Cao, Ying-Ping Biomed Res Int Research Article BACKGROUND: S100 family genes exclusively encode at least 20 calcium-binding proteins, which possess a wide spectrum of intracellular and extracellular functions in vertebrates. Multiple lines of evidences suggest that dysregulated S100 proteins are associated with human malignancies including colorectal cancer (CRC). However, the diverse expression patterns and prognostic roles of distinct S100 genes in CRC have not been fully elucidated. METHODS: In the current study, we analyzed the mRNA expression levels of S100 family genes and proteins and their associations with the survival of CRC patients using the Oncomine analysis and GEPIA databases. Expressions and mutations of S100 family genes were analyzed using the cBioPortal, and protein-protein interaction (PPI) networks of S100 proteins and their mutation-related coexpressed genes were analyzed using STRING and Cytoscape. RESULTS: We observed that the mRNA expression levels of S100A2, S100A3, S100A9, S100A11, and S100P were higher and the level of S100B was lower in CRC tissues than those in normal colon mucosa. A high S100A10 levels was associated with advanced-stage CRC. Results from GEPIA database showed that highly expressed S100A1 was correlated with worse overall survival (OS) and disease-free survival (DFS) and that overexpressions of S100A2 and S100A11 were associated with poor DFS of CRC, indicating that S100A1, S100A2, and S100A11 are potential prognostic markers. Unexpectedly, most of S100 family genes showed no significant prognostic values in CRC. CONCLUSIONS: Our findings, though still need to be ascertained, offer novel insights into the prognostic implications of the S100 family in CRC and will inspire more clinical trials to explore potential S100-targeted inhibitors for the treatment of CRC. Hindawi 2020-11-26 /pmc/articles/PMC7718059/ /pubmed/33294444 http://dx.doi.org/10.1155/2020/4746929 Text en Copyright © 2020 Meng-Lu Zeng et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zeng, Meng-Lu
Zhu, Xian-Jin
Liu, Jin
Shi, Peng-Chong
Kang, Yan-Li
Lin, Zhen
Cao, Ying-Ping
An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer
title An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer
title_full An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer
title_fullStr An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer
title_full_unstemmed An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer
title_short An Integrated Bioinformatic Analysis of the S100 Gene Family for the Prognosis of Colorectal Cancer
title_sort integrated bioinformatic analysis of the s100 gene family for the prognosis of colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718059/
https://www.ncbi.nlm.nih.gov/pubmed/33294444
http://dx.doi.org/10.1155/2020/4746929
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