title: Identification of tumor evolution patterns by means of inductive logic programming.
abstract: In considering key events of genomic disorders in the development and progression of cancer, the correlation between genomic instability and carcinogenesis is currently under investigation. In this work, we propose an inductive logic programming approach to the problem of modeling evolution patterns for breast cancer. Using this approach, it is possible to extract fingerprints of stages of the disease that can be used in order to develop and deliver the most adequate therapies to patients. Furthermore, such a model can help physicians and biologists in the elucidation of molecular dynamics underlying the aberrations-waterfall model behind carcinogenesis. By showing results obtained on a real-world dataset, we try to give some hints about further approach to the knowledge-driven validations of such hypotheses.
authors.affiliation: Polytechnic of Bari, 70125 Bari, Italy. bevilacqua@poliba.it
authors.forename: Vitoantonio
authors.initials: V
authors.lastname: Bevilacqua
authors.forename: Patrizia
authors.initials: P
authors.lastname: Chiarappa
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Mastronardi
authors.forename: Filippo
authors.initials: F
authors.lastname: Menolascina
authors.forename: Angelo
authors.initials: A
authors.lastname: Paradiso
authors.forename: Stefania
authors.initials: S
authors.lastname: Tommasi
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001943:Breast Neoplasms / Q000209:etiology* / Q000235:genetics*; D055028:Comparative Genomic Hybridization / Q000706:statistics & numerical data*; D019295:Computational Biology; D004273:DNA, Neoplasm / Q000235:genetics; D030541:Databases, Genetic; D005260:Female; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data
chemical_list: D004273:DNA, Neoplasm