CDH1/E-cadherin and solid tumors. An updated gene-disease association analysis using bioinformatics tools. (February 2016)
- Record Type:
- Journal Article
- Title:
- CDH1/E-cadherin and solid tumors. An updated gene-disease association analysis using bioinformatics tools. (February 2016)
- Main Title:
- CDH1/E-cadherin and solid tumors. An updated gene-disease association analysis using bioinformatics tools
- Authors:
- Abascal, María Florencia
Besso, María José
Rosso, Marina
Mencucci, María Victoria
Aparicio, Evangelina
Szapiro, Gala
Furlong, Laura Inés
Vazquez-Levin, Mónica Hebe - Abstract:
- Graphical abstract: Highlights: A systematic study was carried out to gather and summarize current knowledge on CDH1 /E-cadherin and solid tumors (ST) using bioinformatics resources. The DisGeNET database was exploited to survey CDH1 -associated diseases. Reported mutations in specific ST were obtained by interrogating COSMIC and IntOGen tools. CDH1 single nucleotide polymorphisms (SNP) were retrieved from the dbSNP database. DisGeNET analysis identified 609 genes annotated to ST, among which CDH1 was listed. Using CDH1 as query term, 26 disease concepts were found, 21 of which were neoplasms-related terms. Using DisGeNET ALL, 172 disease concepts were identified. Of those, 80 ST disease-related terms were subjected to manual curation and 75/80 (93.75%) associations were validated. On selected ST, 489 CDH1 somatic mutations were listed in COSMIC and IntOGen databases. Breast neoplasms had the highest CDH1 -mutation rate. CDH1 was positioned among the 20 genes with highest mutation frequency and was confirmed as driver gene in breast cancer. Over 14, 000 SNP for CDH1 were found in the dbSNP database. This report used DisGeNET to gather/compile current knowledge on gene-disease association for CDH1 /E-cadherin and ST, data curation expanded the number of terms that relate them. An updated list of CDH1 somatic mutations was obtained with COSMIC and IntOGen databases and of SNP from dbSNP. This information can be used to further understand the role of CDH1 /E-cadherin in healthGraphical abstract: Highlights: A systematic study was carried out to gather and summarize current knowledge on CDH1 /E-cadherin and solid tumors (ST) using bioinformatics resources. The DisGeNET database was exploited to survey CDH1 -associated diseases. Reported mutations in specific ST were obtained by interrogating COSMIC and IntOGen tools. CDH1 single nucleotide polymorphisms (SNP) were retrieved from the dbSNP database. DisGeNET analysis identified 609 genes annotated to ST, among which CDH1 was listed. Using CDH1 as query term, 26 disease concepts were found, 21 of which were neoplasms-related terms. Using DisGeNET ALL, 172 disease concepts were identified. Of those, 80 ST disease-related terms were subjected to manual curation and 75/80 (93.75%) associations were validated. On selected ST, 489 CDH1 somatic mutations were listed in COSMIC and IntOGen databases. Breast neoplasms had the highest CDH1 -mutation rate. CDH1 was positioned among the 20 genes with highest mutation frequency and was confirmed as driver gene in breast cancer. Over 14, 000 SNP for CDH1 were found in the dbSNP database. This report used DisGeNET to gather/compile current knowledge on gene-disease association for CDH1 /E-cadherin and ST, data curation expanded the number of terms that relate them. An updated list of CDH1 somatic mutations was obtained with COSMIC and IntOGen databases and of SNP from dbSNP. This information can be used to further understand the role of CDH1 /E-cadherin in health and disease. Abstract: Cancer is a group of diseases that causes millions of deaths worldwide. Among cancers, Solid Tumors (ST) stand-out due to their high incidence and mortality rates. Disruption of cell–cell adhesion is highly relevant during tumor progression. Epithelial-cadherin (protein: E-cadherin, gene: CDH1 ) is a key molecule in cell–cell adhesion and an abnormal expression or/and function(s) contributes to tumor progression and is altered in ST. A systematic study was carried out to gather and summarize current knowledge on CDH1 /E-cadherin and ST using bioinformatics resources. The DisGeNET database was exploited to survey CDH1- associated diseases. Reported mutations in specific ST were obtained by interrogating COSMIC and IntOGen tools. CDH1 Single Nucleotide Polymorphisms (SNP) were retrieved from the dbSNP database. DisGeNET analysis identified 609 genes annotated to ST, among which CDH1 was listed. Using CDH1 as query term, 26 disease concepts were found, 21 of which were neoplasms-related terms. Using DisGeNET ALL Databases, 172 disease concepts were identified. Of those, 80 ST disease-related terms were subjected to manual curation and 75/80 (93.75%) associations were validated. On selected ST, 489 CDH1 somatic mutations were listed in COSMIC and IntOGen databases. Breast neoplasms had the highest CDH1- mutation rate. CDH1 was positioned among the 20 genes with highest mutation frequency and was confirmed as driver gene in breast cancer. Over 14, 000 SNP for CDH1 were found in the dbSNP database. This report used DisGeNET to gather/compile current knowledge on gene-disease association for CDH1 /E-cadherin and ST; data curation expanded the number of terms that relate them. An updated list of CDH1 somatic mutations was obtained with COSMIC and IntOGen databases and of SNP from dbSNP. This information can be used to further understand the role of CDH1 /E-cadherin in health and disease. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 60(2016)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 60(2016)
- Issue Display:
- Volume 60, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 60
- Issue:
- 2016
- Issue Sort Value:
- 2016-0060-2016-0000
- Page Start:
- 9
- Page End:
- 20
- Publication Date:
- 2016-02
- Subjects:
- CDH1 -- Epithelial Cadherin -- Solid tumors -- Bioinformatics -- Somatic mutations
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2015.10.002 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
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