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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7193566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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