Εξειδίκευση τύπου :	Ανακοίνωση σε συνέδριο
Τίτλος:	Integrative bioinformatic analysis of a Greek epidemiological cohort provides insight into the pathogenesis of primary cutaneous melanoma
Δημιουργός/Συγγραφέας:	Kontogianni G. [EL] Παπαδόδημα, Όλγα[EN] Papadodima, Olga Maglogiannis I. Frangia-Tsivou K. [EL] Χατζηιωάννου, Αριστοτέλης[EN] Chatziioannou, Aristotelis
Επιμελητής έκδοσης:	Iliadis L. Maglogiannis I.
Εκδότης:	Springer New York LLC
Ημερομηνία:	2016
Γλώσσα:	Αγγλικά
ISBN:	9783319449432
ISSN:	1868-4238
DOI:	10.1007/978-3-319-44944-9_4
Περίληψη:	Melanoma is the most lethal type of skin cancer. In this study for the first time we analyze a Greek cohort of primary cutaneous melanoma biopsies, subjected to whole exome sequencing, in order to derive their mutational profile landscape. Moreover, in the context of big data analytical methodologies, we integrated the results of the exome sequencing analysis with transcriptomic data of cutaneous melanoma from GEO, in an attempt to perform a multi-layered analysis and infer a tentative disease network for primary melanoma pathogenesis. The purpose of this research is to incorporate different levels of molecular data, so as to expand our understanding of cutaneous melanoma and the broader molecular network implicated with this type of cancer. Overall, we showed that the results of the integrative analysis offer deeper insight in the underlying mechanisms affected by melanoma and could potentially contribute to the valuable effective epidemiological characterization of this disease.
Όνομα εκδήλωσης:	12th IFIP WG 12.5 International Conference and Workshops on Artificial Intelligence Applications and Innovations, AIAI 2016
Ημ/νία έναρξης εκδήλωσης :	2016-09-16
Ημ/νία λήξης εκδήλωσης :	2016-09-18
Τίτλος πηγής δημοσίευσης:	IFIP Advances in Information and Communication Technology
Τόμος/Κεφάλαιο:	475
Σελίδες:	39-52
Θεματική Κατηγορία:	[EL] Βιολογία (Γενικά)[EN] Biology (General) [EL] Νεοπλάσματα. Όγκοι. Ογκολογία (περ. Καρκίνος, κακινογόνες ουσίες)[EN] Neoplasms. Tumors. Oncology (Incl.cancer, carcinogens)
Λέξεις-Κλειδιά:	Data integration Functional analysis Next generation sequencing Skin cancer
Αξιολόγηση από ομότιμους (peer reviewed):	Ναι
Κάτοχος πνευματικών δικαιωμάτων:	© IFIP International Federation for Information Processing 2016.
Όροι και προϋποθέσεις δικαιωμάτων:	All Open Access, Green
Σημειώσεις:	This work has been supported by the 12CHN 204 Bilateral Greece-China Research Program of the Hellenic General Secretariat of Research and Technology and the Chinese Ministry of Research and Technology entitled “Personalization of melanoma therapeutic management through the fusion of systems biology and intelligent data mining methodologies-PROMISE,” sponsored by the Program “Competitiveness and Entrepreneurship,” Priority Health of the Peripheral Entrepreneurial Program of Attiki.
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο