Identification of potential target genes in pancreatic ductal adenocarcinoma by bioinformatics analysis

Oncology Letters
Yuchen TangJian Zhou

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most complicated and fatally pathogenic human malignancies. Therefore, there is an urgent need to improve our understanding of the underlying molecular mechanism that drives the initiation, progression, and metastasis of PDAC. The aim of the present study was to identify the key genes and signaling pathways associated with PDAC using bioinformatics analysis. Four transcriptome microarray datasets (GSE15471, GSE55643, GSE62165 and GSE91035) were acquired from Gene Expression Omnibus datasets, which included 226 PDAC samples and 65 normal pancreatic tissue samples. We screened differentially expressed genes (DEGs) with GEO2R and investigated their biological function by Gene Ontology (GO) and Kyoto Encyclopedia of Genes (KEGG) analysis. The overall survival data was obtained from UALCAN, which calculated the data shared with The Cancer Genome Atlas. In addition, a protein-protein interaction (PPI) network of the DEGs was constructed by STRING and Cytoscape software. The four sets of DEGs exhibited an intersection consisting of 205 genes (142 up-regulated and 63 down-regulated), which may be associated with PDAC. GO analysis showed that the 205 DEGs were significantly enriched ...Continue Reading

References

Feb 13, 2004·Bioinformatics·Laurent GautierRafael A Irizarry
Jan 25, 2008·International Journal of Cancer. Journal International Du Cancer·Antoine ItalianoFlorence Pedeutour
Jan 31, 2009·The American Journal of Pathology·Sugiko WatanabeMitsuyoshi Nakao
Dec 19, 2009·Proceedings of the National Academy of Sciences of the United States of America·Kyoung-Hwa LeeJing Huang
Mar 17, 2010·Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc·Aparna MahajanJian-Jun Wei
Jun 17, 2010·Cancer Research·Nagato SatoYataro Daigo
Aug 14, 2010·International Journal of Endocrinology·Moisés Blanco CalvoLuís Antón Aparicio
Sep 4, 2010·Nature Reviews. Cancer·John P MorrisMatthias Hebrok
Oct 18, 2011·Developmental Cell·Victoria E AhnWilliam I Weis
Nov 15, 2011·Nucleic Acids Research·Minoru KanehisaMao Tanabe
Sep 15, 2012·Cancer Cell·Rushika M Perera, Nabeel Bardeesy
Nov 30, 2012·Nucleic Acids Research·Tanya BarrettAlexandra Soboleva
Jun 21, 2013·Expert Review of Molecular Diagnostics·Jesse HintonJinping Li
Sep 28, 2013·Nature Genetics·UNKNOWN Cancer Genome Atlas Research NetworkJoshua M Stuart
Jun 4, 2014·CA: a Cancer Journal for Clinicians·Carol E DeSantisAhmedin Jemal
Oct 30, 2014·Nucleic Acids Research·Damian SzklarczykChristian von Mering
Feb 3, 2016·Lancet·Terumi KamisawaKyoichi Takaori
Jun 21, 2016·The Journal of Clinical Investigation·Hirokazu KimuraAkira Kikuchi
Jan 6, 2017·CA: a Cancer Journal for Clinicians·Rebecca L SiegelAhmedin Jemal
May 20, 2017·British Journal of Cancer·Carina StrellArne Östman
Jul 6, 2017·Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine·Jing ZhangWentao Yue
Jul 22, 2017·Neoplasia : an International Journal for Oncology Research·Darshan S ChandrashekarSooryanarayana Varambally
Aug 16, 2017·Cancer Cell·UNKNOWN Cancer Genome Atlas Research Network. Electronic address: andrew_aguirre@dfci.harvard.edu, UNKNOWN Cancer Genome Atlas Research Network

❮ Previous
Next ❯

Citations

Sep 5, 2019·International Journal of Molecular Sciences·Monish Ram MakenaKartick C Pramanik
Apr 2, 2020·International Journal of Molecular Sciences·Manuel TorresPablo Vicente Escribá
Jul 28, 2019·Cancers·Iranzu González-BorjaJoaquin Fernández-Irigoyen
Jul 2, 2020·Cancer Management and Research·Jie LiWentao Yue
Nov 17, 2020·Frontiers in Molecular Biosciences·Zhou JiaweiHu Dong

❮ Previous
Next ❯

Datasets Mentioned

BETA
GSE55643
GPL6480
GSE62165
U219
GPL22763
GSE91035
GSE78229

Software Mentioned

VENNY
CentiScape
GraphPad Prism
Affy package of R
GEO2R
Search Tool for the
Cytoscape
UALCAN
FunRich
GraphPad

Related Concepts

Related Feeds

Cancer -Omics

A variety of different high-throughput technologies can be used to identify the complete catalog of changes that characterize the molecular profile of cohorts of tumor samples. Discover the latest insights gained from cancer 'omics' in this feed.

Adhesion Molecules in Health and Disease

Cell adhesion molecules are a subset of cell adhesion proteins located on the cell surface involved in binding with other cells or with the extracellular matrix in the process called cell adhesion. In essence, cell adhesion molecules help cells stick to each other and to their surroundings. Cell adhesion is a crucial component in maintaining tissue structure and function. Discover the latest research on adhesion molecule and their role in health and disease here.