An Evolutionary General Purpose WebGIS to Disclose EGFR Mutations in Lung Cancer

Authors:
Domenico Aliotta;Pietro Buffa;Gennaro Iaccarino
Affiliations:
ProdAl S.c.ar.l., Università di Salerno, Fisciano ,SA, Italy 84084;Dipartimento di Scienze Biomediche, sez. Patologia Generale, Università di Catania, Catania, Italy 95124;ISISLab - Dipartimento di Informatica ed Applicazioni "R.M. Capocelli", Università di Salerno, Fisciano ,SA, Italy 84084
Venue:
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Year:
2008

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Abstract

The epidermal growth factor receptor (EGFR) is a membrane spanning receptor tyrosine kinase that regulates cell proliferation, survival, and migration. Over expression and mutations in the kinase domain of EGFR are implicated in the development and progression of a variety of cancers. We present an evolutionary general purpose Geographic Information System, in which geographic information is replaced by biological data representing the main mutation regions within the kinase domain of EGFR. Our system can be used for generating hypotheses about relations between EGFR mutations and cancer; defining statistical, molecular, and pharmacological relationships; disclosing biological identification techniques, etc. Moreover this is an important example of how GIS capabilities can be used not only for geographic items, but for any kind of data, as a general purpose system.