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Identification and verification of CCNB1 as a potential prognostic biomarker by comprehensive analysis
by
Fan, Rong
, Zeng, Yinzhen
in
631/114
/ 631/114/2164
/ 631/114/2404
/ 631/114/2407
/ 631/67
/ 631/67/1504
/ 631/67/1857
/ 692/4020
/ 692/699/1503
/ 692/699/67
/ Adenocarcinoma
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Cancer therapies
/ Carcinoma, Pancreatic Ductal - diagnosis
/ Carcinoma, Pancreatic Ductal - genetics
/ Computational Biology
/ Cyclin B1
/ Cyclin B1 - genetics
/ Cyclin B1 - metabolism
/ Datasets
/ Extracellular matrix
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Gene Regulatory Networks
/ Gene set enrichment analysis
/ Humanities and Social Sciences
/ Humans
/ Invasiveness
/ Medical diagnosis
/ Medical prognosis
/ Mortality
/ mRNA
/ multidisciplinary
/ Pancreatic cancer
/ Pancreatic Neoplasms
/ Pancreatic Neoplasms - diagnosis
/ Pancreatic Neoplasms - genetics
/ Prognosis
/ Proteins
/ RNA, Messenger - genetics
/ Science
/ Science (multidisciplinary)
/ Software
/ Survival
/ Survival analysis
/ Tumors
2022
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Identification and verification of CCNB1 as a potential prognostic biomarker by comprehensive analysis
by
Fan, Rong
, Zeng, Yinzhen
in
631/114
/ 631/114/2164
/ 631/114/2404
/ 631/114/2407
/ 631/67
/ 631/67/1504
/ 631/67/1857
/ 692/4020
/ 692/699/1503
/ 692/699/67
/ Adenocarcinoma
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Cancer therapies
/ Carcinoma, Pancreatic Ductal - diagnosis
/ Carcinoma, Pancreatic Ductal - genetics
/ Computational Biology
/ Cyclin B1
/ Cyclin B1 - genetics
/ Cyclin B1 - metabolism
/ Datasets
/ Extracellular matrix
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Gene Regulatory Networks
/ Gene set enrichment analysis
/ Humanities and Social Sciences
/ Humans
/ Invasiveness
/ Medical diagnosis
/ Medical prognosis
/ Mortality
/ mRNA
/ multidisciplinary
/ Pancreatic cancer
/ Pancreatic Neoplasms
/ Pancreatic Neoplasms - diagnosis
/ Pancreatic Neoplasms - genetics
/ Prognosis
/ Proteins
/ RNA, Messenger - genetics
/ Science
/ Science (multidisciplinary)
/ Software
/ Survival
/ Survival analysis
/ Tumors
2022
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Identification and verification of CCNB1 as a potential prognostic biomarker by comprehensive analysis
by
Fan, Rong
, Zeng, Yinzhen
in
631/114
/ 631/114/2164
/ 631/114/2404
/ 631/114/2407
/ 631/67
/ 631/67/1504
/ 631/67/1857
/ 692/4020
/ 692/699/1503
/ 692/699/67
/ Adenocarcinoma
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Cancer therapies
/ Carcinoma, Pancreatic Ductal - diagnosis
/ Carcinoma, Pancreatic Ductal - genetics
/ Computational Biology
/ Cyclin B1
/ Cyclin B1 - genetics
/ Cyclin B1 - metabolism
/ Datasets
/ Extracellular matrix
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Gene Regulatory Networks
/ Gene set enrichment analysis
/ Humanities and Social Sciences
/ Humans
/ Invasiveness
/ Medical diagnosis
/ Medical prognosis
/ Mortality
/ mRNA
/ multidisciplinary
/ Pancreatic cancer
/ Pancreatic Neoplasms
/ Pancreatic Neoplasms - diagnosis
/ Pancreatic Neoplasms - genetics
/ Prognosis
/ Proteins
/ RNA, Messenger - genetics
/ Science
/ Science (multidisciplinary)
/ Software
/ Survival
/ Survival analysis
/ Tumors
2022
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Identification and verification of CCNB1 as a potential prognostic biomarker by comprehensive analysis
Journal Article
Identification and verification of CCNB1 as a potential prognostic biomarker by comprehensive analysis
2022
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Overview
As one of the most common types of pancreatic cancer, pancreatic ductal adenocarcinoma (PDAC) is highly invasive and lethal. This study aims to develop biomarkers and targets for the diagnosis and treatment of PDAC. Differentially expressed genes (DEGs) were screened via GEO2R, protein network was constructed through STRING and Cytoscape. Functional enrichment analysis was performed, followed by survival analysis and expression validation. A total of 115 DEGs were identified, including 108 upregulated and 7 downregulated genes. After enrichment, survival analysis, one potential gene, Cyclin B1 (CCNB1), was selected for further expression verification at the mRNA and protein level. Taker together, CCNB1 may act as a potential biomarker which provided new idea for elucidation of the pathogenesis of PDAC.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 631/67
/ 692/4020
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Carcinoma, Pancreatic Ductal - diagnosis
/ Carcinoma, Pancreatic Ductal - genetics
/ Datasets
/ Gene Expression Regulation, Neoplastic
/ Gene set enrichment analysis
/ Humanities and Social Sciences
/ Humans
/ mRNA
/ Pancreatic Neoplasms - diagnosis
/ Pancreatic Neoplasms - genetics
/ Proteins
/ Science
/ Software
/ Survival
/ Tumors
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