Piacan: Pathway integration and analysis of cancer networks

Adrian Quintana, Vinh Nguyen, Tommy Dang, Chiquito Crasto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We developed a web-based software tool, Pathway Integration and Analysis of Cancer Networks (PIACAN), to identify key cancer genes, pathways and sub-pathways that are implicated in more than one type of cancer. PIACAN is the result of merging biological pathways associated with 15 different human cancer types mined from the Kyoto Encyclopaedia of Genes and Genomes (KEGG). The Cytoscape software was used to port the mined information for pathway merging and subsequent analysis. Web-determined visualization of the merged networks was achieved by programming using the JavaScript library Data-Drive-Documents (D3). The results of PIACAN allow us a mechanistic glimpse into the potential development of secondary cancers spreading to distant tissues, following the primary tumour-localization in a specific tissue, via traversal of the blood-brain barrier. Given the similarities in biological networks between different cancers, PIACAN allows us a glimpse into the similarities in cancer development in remote tissues. PIACAN is a free, public, web-accessible resource (https://adrquint.github.io/integrated-cancer-networks/), where users can identify how and where biological pathways and/or sub-pathways, depending on the cancer type. A video-demonstration of the preliminary work can be found at: https://www.youtube.com/watch?v=tOJ-EOY33fU. PIACAN is also developed as a knowledge- dissemination tool. In its current iteration, for each gene in the pathway, the system links to cancer gene information in KEGG, GeneCards, Gene Ontology, NCBI AceView, and Ensembl.

Original languageEnglish
Title of host publicationBIOINFORMATICS 2020 - 11th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020
EditorsElisabetta De Maria, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages246-252
Number of pages7
ISBN (Electronic)9789897583988
StatePublished - 2020
Event11th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2020 - Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 - Valletta, Malta
Duration: Feb 24 2020Feb 26 2020

Publication series

NameBIOINFORMATICS 2020 - 11th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020

Conference

Conference11th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2020 - Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020
Country/TerritoryMalta
CityValletta
Period02/24/2002/26/20

Keywords

  • Cancer Biological Pathways
  • Cytoscape
  • Javascript
  • Merged Networks
  • PIACAN
  • Web Resource

Fingerprint

Dive into the research topics of 'Piacan: Pathway integration and analysis of cancer networks'. Together they form a unique fingerprint.

Cite this