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Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
by
Guo, Xiaorong
, Wu, Yanshuang
, Yu, Shan
, Zhang, Maomao
, Li, Nan
, Guo, Mian
, Lei, Lei
, Tai, Sheng
, Lou, Ge
, Li, Chunlong
, Qu, Zhaowei
, Ji, Jingjing
in
631/114/2407
/ 631/67/1857
/ Bioinformatics
/ Biomarkers
/ Biomarkers, Tumor
/ Cell Transformation, Neoplastic - genetics
/ Computational Biology - methods
/ Disease Progression
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Gene Regulatory Networks
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Immunohistochemistry
/ Kaplan-Meier Estimate
/ Molecular modelling
/ Monocarboxylic Acid Transporters - genetics
/ multidisciplinary
/ Multigene Family
/ Next-generation sequencing
/ Oligonucleotide Array Sequence Analysis
/ Pancreatic cancer
/ Pancreatic Neoplasms - genetics
/ Prognosis
/ Protein Interaction Mapping
/ Protein Interaction Maps
/ Proteomics
/ Science
/ Science (multidisciplinary)
/ Symporters - genetics
/ Therapeutic applications
/ Treatment Outcome
/ Tumorigenesis
2020
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Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
by
Guo, Xiaorong
, Wu, Yanshuang
, Yu, Shan
, Zhang, Maomao
, Li, Nan
, Guo, Mian
, Lei, Lei
, Tai, Sheng
, Lou, Ge
, Li, Chunlong
, Qu, Zhaowei
, Ji, Jingjing
in
631/114/2407
/ 631/67/1857
/ Bioinformatics
/ Biomarkers
/ Biomarkers, Tumor
/ Cell Transformation, Neoplastic - genetics
/ Computational Biology - methods
/ Disease Progression
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Gene Regulatory Networks
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Immunohistochemistry
/ Kaplan-Meier Estimate
/ Molecular modelling
/ Monocarboxylic Acid Transporters - genetics
/ multidisciplinary
/ Multigene Family
/ Next-generation sequencing
/ Oligonucleotide Array Sequence Analysis
/ Pancreatic cancer
/ Pancreatic Neoplasms - genetics
/ Prognosis
/ Protein Interaction Mapping
/ Protein Interaction Maps
/ Proteomics
/ Science
/ Science (multidisciplinary)
/ Symporters - genetics
/ Therapeutic applications
/ Treatment Outcome
/ Tumorigenesis
2020
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Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
by
Guo, Xiaorong
, Wu, Yanshuang
, Yu, Shan
, Zhang, Maomao
, Li, Nan
, Guo, Mian
, Lei, Lei
, Tai, Sheng
, Lou, Ge
, Li, Chunlong
, Qu, Zhaowei
, Ji, Jingjing
in
631/114/2407
/ 631/67/1857
/ Bioinformatics
/ Biomarkers
/ Biomarkers, Tumor
/ Cell Transformation, Neoplastic - genetics
/ Computational Biology - methods
/ Disease Progression
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Gene Regulatory Networks
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Immunohistochemistry
/ Kaplan-Meier Estimate
/ Molecular modelling
/ Monocarboxylic Acid Transporters - genetics
/ multidisciplinary
/ Multigene Family
/ Next-generation sequencing
/ Oligonucleotide Array Sequence Analysis
/ Pancreatic cancer
/ Pancreatic Neoplasms - genetics
/ Prognosis
/ Protein Interaction Mapping
/ Protein Interaction Maps
/ Proteomics
/ Science
/ Science (multidisciplinary)
/ Symporters - genetics
/ Therapeutic applications
/ Treatment Outcome
/ Tumorigenesis
2020
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Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
Journal Article
Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics
2020
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Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ Cell Transformation, Neoplastic - genetics
/ Computational Biology - methods
/ Gene Expression Regulation, Neoplastic
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Monocarboxylic Acid Transporters - genetics
/ Oligonucleotide Array Sequence Analysis
/ Pancreatic Neoplasms - genetics
/ Science
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