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Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics

SLC16A family members play crucial roles in tumorigenesis and tumor progression. However, the exact role of distinct members in the SLC16A family in human pancreatic cancer remains unclear. Integrated bioinformatics analysis for the identification of therapeutic targets for certain cancers based on...

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Autores principales: Yu, Shan, Wu, Yanshuang, Li, Chunlong, Qu, Zhaowei, Lou, Ge, Guo, Xiaorong, Ji, Jingjing, Li, Nan, Guo, Mian, Zhang, Maomao, Lei, Lei, Tai, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7193566/
https://www.ncbi.nlm.nih.gov/pubmed/32355273
http://dx.doi.org/10.1038/s41598-020-64356-y
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author Yu, Shan
Wu, Yanshuang
Li, Chunlong
Qu, Zhaowei
Lou, Ge
Guo, Xiaorong
Ji, Jingjing
Li, Nan
Guo, Mian
Zhang, Maomao
Lei, Lei
Tai, Sheng
author_facet Yu, Shan
Wu, Yanshuang
Li, Chunlong
Qu, Zhaowei
Lou, Ge
Guo, Xiaorong
Ji, Jingjing
Li, Nan
Guo, Mian
Zhang, Maomao
Lei, Lei
Tai, Sheng
author_sort Yu, Shan
collection PubMed
description SLC16A family members play crucial roles in tumorigenesis and tumor progression. However, the exact role of distinct members in the SLC16A family in human pancreatic cancer remains unclear. Integrated bioinformatics analysis for the identification of therapeutic targets for certain cancers based on transcriptomics, proteomics and high-throughput sequencing could help us obtain novel information and understand potential underlying molecular mechanisms. In the present study, we investigated SLC16A family members in pancreatic cancer through accumulated data from GEO (Gene Expression Omnibus), TCGA (The Cancer Genome Atlas) and other available databases. The expression profile, clinical application significance and prognostic value of the SLC16A family for patients with pancreatic cancer were explored. SLC16A1, SLC16A3 and SLC16A13 exhibited biomarker potential for prognosis, and we further identified their related genes and regulatory networks, revealing core molecular pathways that require further investigation for pancreatic cancer.
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spelling pubmed-71935662020-05-08 Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics Yu, Shan Wu, Yanshuang Li, Chunlong Qu, Zhaowei Lou, Ge Guo, Xiaorong Ji, Jingjing Li, Nan Guo, Mian Zhang, Maomao Lei, Lei Tai, Sheng Sci Rep Article SLC16A family members play crucial roles in tumorigenesis and tumor progression. However, the exact role of distinct members in the SLC16A family in human pancreatic cancer remains unclear. Integrated bioinformatics analysis for the identification of therapeutic targets for certain cancers based on transcriptomics, proteomics and high-throughput sequencing could help us obtain novel information and understand potential underlying molecular mechanisms. In the present study, we investigated SLC16A family members in pancreatic cancer through accumulated data from GEO (Gene Expression Omnibus), TCGA (The Cancer Genome Atlas) and other available databases. The expression profile, clinical application significance and prognostic value of the SLC16A family for patients with pancreatic cancer were explored. SLC16A1, SLC16A3 and SLC16A13 exhibited biomarker potential for prognosis, and we further identified their related genes and regulatory networks, revealing core molecular pathways that require further investigation for pancreatic cancer. Nature Publishing Group UK 2020-04-30 /pmc/articles/PMC7193566/ /pubmed/32355273 http://dx.doi.org/10.1038/s41598-020-64356-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yu, Shan
Wu, Yanshuang
Li, Chunlong
Qu, Zhaowei
Lou, Ge
Guo, Xiaorong
Ji, Jingjing
Li, Nan
Guo, Mian
Zhang, Maomao
Lei, Lei
Tai, Sheng
Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
title Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
title_full Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
title_fullStr Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
title_full_unstemmed Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
title_short Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
title_sort comprehensive analysis of the slc16a gene family in pancreatic cancer via integrated bioinformatics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7193566/
https://www.ncbi.nlm.nih.gov/pubmed/32355273
http://dx.doi.org/10.1038/s41598-020-64356-y
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