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Genomic expression profiling and bioinformatics analysis of pancreatic cancer
Pancreatic cancer is a polygenic disease and the fourth leading cause of cancer-associated mortality worldwide; however, the tumorigenesis of pancreatic cancer remains poorly understood. Research at a molecular level, which includes the exploration of biomarkers for early diagnosis and specific targ...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526101/ https://www.ncbi.nlm.nih.gov/pubmed/26062681 http://dx.doi.org/10.3892/mmr.2015.3917 |
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author | HAN, DONG-YAN FU, DA XI, HAO LI, QIAN-YU FENG, LI-JIN ZHANG, WEI JI, GUO XIAO, JIA-CHENG WEI, QING |
author_facet | HAN, DONG-YAN FU, DA XI, HAO LI, QIAN-YU FENG, LI-JIN ZHANG, WEI JI, GUO XIAO, JIA-CHENG WEI, QING |
author_sort | HAN, DONG-YAN |
collection | PubMed |
description | Pancreatic cancer is a polygenic disease and the fourth leading cause of cancer-associated mortality worldwide; however, the tumorigenesis of pancreatic cancer remains poorly understood. Research at a molecular level, which includes the exploration of biomarkers for early diagnosis and specific targets for therapy, may effectively aid in the diagnosis of pancreatic cancer in its early stages and in the development of targeted molecular-biological approaches for treatment, thus improving prognosis. By conducting expression profiling in para-carcinoma, carcinoma and relapse of human pancreatic tissues, 319 genes or transcripts with differential expression levels >3-fold between these tissue types were identified. Further analysis with Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes demonstrated that the translation, nucleus assembly processes and molecular functions associated with vitamin B6 and pyridoxal phosphate binding in pancreatic carcinoma were abnormal. Pancreatic cancer was additionally identified to be closely associated with certain autoimmune diseases, including type I diabetes mellitus and systemic lupus erythematosus. |
format | Online Article Text |
id | pubmed-4526101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-45261012015-11-30 Genomic expression profiling and bioinformatics analysis of pancreatic cancer HAN, DONG-YAN FU, DA XI, HAO LI, QIAN-YU FENG, LI-JIN ZHANG, WEI JI, GUO XIAO, JIA-CHENG WEI, QING Mol Med Rep Articles Pancreatic cancer is a polygenic disease and the fourth leading cause of cancer-associated mortality worldwide; however, the tumorigenesis of pancreatic cancer remains poorly understood. Research at a molecular level, which includes the exploration of biomarkers for early diagnosis and specific targets for therapy, may effectively aid in the diagnosis of pancreatic cancer in its early stages and in the development of targeted molecular-biological approaches for treatment, thus improving prognosis. By conducting expression profiling in para-carcinoma, carcinoma and relapse of human pancreatic tissues, 319 genes or transcripts with differential expression levels >3-fold between these tissue types were identified. Further analysis with Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes demonstrated that the translation, nucleus assembly processes and molecular functions associated with vitamin B6 and pyridoxal phosphate binding in pancreatic carcinoma were abnormal. Pancreatic cancer was additionally identified to be closely associated with certain autoimmune diseases, including type I diabetes mellitus and systemic lupus erythematosus. D.A. Spandidos 2015-09 2015-06-11 /pmc/articles/PMC4526101/ /pubmed/26062681 http://dx.doi.org/10.3892/mmr.2015.3917 Text en Copyright © 2015, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Articles HAN, DONG-YAN FU, DA XI, HAO LI, QIAN-YU FENG, LI-JIN ZHANG, WEI JI, GUO XIAO, JIA-CHENG WEI, QING Genomic expression profiling and bioinformatics analysis of pancreatic cancer |
title | Genomic expression profiling and bioinformatics analysis of pancreatic cancer |
title_full | Genomic expression profiling and bioinformatics analysis of pancreatic cancer |
title_fullStr | Genomic expression profiling and bioinformatics analysis of pancreatic cancer |
title_full_unstemmed | Genomic expression profiling and bioinformatics analysis of pancreatic cancer |
title_short | Genomic expression profiling and bioinformatics analysis of pancreatic cancer |
title_sort | genomic expression profiling and bioinformatics analysis of pancreatic cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526101/ https://www.ncbi.nlm.nih.gov/pubmed/26062681 http://dx.doi.org/10.3892/mmr.2015.3917 |
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