Archivio Istituzionale della RicercaThe most popular approach to explain cancer is based on the discovery of oncogenes and tumor suppressor genes as a preliminary step in estimating their impact on altered pathways. The present paper proposes a pipeline which aims at detecting “weak” or “indirect” functions impacted by Copy Number Variations (CNVs) of cancer-related genes, integrating such signals over all known oncogenes/tumor suppressor genes of a cancer type. We applied the pipeline to the task of detecting the aberrant functional effects of these alterations across ovarian cancer patients from The Cancer Genome Atlas (TCGA) data.
A transcriptional study of oncogenes and tumor suppressors altered by copy number variations in ovarian cancer / Giacomini, G.; Ciravegna, G.; Pellegrini, M.; D'Aurizio, R.; Bianchini, M.. - 192:(2020), pp. 159-169. (Intervento presentato al convegno 8th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2020 tenutosi a Virtual Conference nel June 17–19, 2020) [10.1007/978-981-15-5852-8_15].
A transcriptional study of oncogenes and tumor suppressors altered by copy number variations in ovarian cancer
Ciravegna G.;
2020
Abstract
The most popular approach to explain cancer is based on the discovery of oncogenes and tumor suppressor genes as a preliminary step in estimating their impact on altered pathways. The present paper proposes a pipeline which aims at detecting “weak” or “indirect” functions impacted by Copy Number Variations (CNVs) of cancer-related genes, integrating such signals over all known oncogenes/tumor suppressor genes of a cancer type. We applied the pipeline to the task of detecting the aberrant functional effects of these alterations across ovarian cancer patients from The Cancer Genome Atlas (TCGA) data.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2980671