Open AccessBasic Principles and Technologies for Deciphering the Genetic Map of Cancer
Author(s) -
Voidonikolas Georgios,
Kreml Stephanie S.,
Chen Changyi,
Fisher William E.,
Charles Brunicardi F.,
Gibbs Richard A.,
Gingras MarieClaude
Publication year - 2009
Publication title -
world journal of surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.115
H-Index - 148
eISSN - 1432-2323
pISSN - 0364-2313
DOI - 10.1007/s00268-008-9851-y
Subject(s) - computational biology , genomics , identification (biology) , personalized medicine , cancer , pancreatic cancer , dna sequencing , disease , medicine , bioinformatics , data science , computer science , biology , genetics , gene , genome , pathology , botany
The progress achieved in the field of genomics in recent years is leading medicine to adopt a personalized model in which the knowledge of individual DNA alterations will allow a targeted approach to cancer. Using pancreatic cancer as a model, we discuss herein the fundamentals that need to be considered for the high throughput and global identification of mutations. These include patient‐related issues, sample collection, DNA isolation, gene selection, primer design, and sequencing techniques. We also describe the possible applications of the discovery of DNA changes to the approach of this disease and cite preliminary efforts where the knowledge has been translated into the clinical or preclinical setting.