biostudies-literatureDe Marco CMinistero della SaluteIstituto Europeo di OncologiaMinistero dell’Istruzione, dell’Università e della Ricerca101013https://www.ebi.ac.uk/biostudies/studies/S-EPMC7846933biostudies-literatureUnknown14(3)Copy Number Alterations (CNAs) represent the most common genetic alterations identified in ovarian cancer cells, being responsible for the extensive genomic instability observed in this cancer. Here we report the identification of CNAs in a cohort of Italian patients affected by ovarian cancer performed by SNP-based array. Our analysis allowed the identification of 201 significantly altered chromosomal bands (70 copy number gains; 131 copy number losses). The 3300 genes subjected to CNA identified here were compared to those present in the TCGA dataset. The analysis allowed the identification of 11 genes with increased CN and mRNA expression (PDCD10, EBAG9, NUDCD1, ENY2, CSNK2A1, TBC1D20, ZCCHC3, STARD3, C19orf12, POP4, UQCRFS1). PDCD10 was selected for further studies because of the higheTranslational oncologyGenome-wide analysis of copy number alterations led to the characterisation of PDCD10 as oncogene in ovarian cancer.PMC7846933GR-2018-123683592010W4J4RM_001PON01_27082Rinaldo NMorganella SCiliberto GVenturella RZullo FCeccarelli MZuccala VDe Marco CMalzoni CMalanga DRizzuto ADi Vizio DBruni PViglietto GMorello MCarriero MVZoppoli PChirillo RfalseGenome-wide analysis of copy number alterations led to the characterisation of PDCD10 as oncogene in ovarian cancer.Copy Number Alterations (CNAs) represent the most common genetic alterations identified in ovarian cancer cells, being responsible for the extensive genomic instability observed in this cancer. Here we report the identification of CNAs in a cohort of Italian patients affected by ovarian cancer performed by SNP-based array. Our analysis allowed the identification of 201 significantly altered chromosomal bands (70 copy number gains; 131 copy number losses). The 3300 genes subjected to CNA identified here were compared to those present in the TCGA dataset. The analysis allowed the identification of 11 genes with increased CN and mRNA expression (PDCD10, EBAG9, NUDCD1, ENY2, CSNK2A1, TBC1D20, ZCCHC3, STARD3, C19orf12, POP4, UQCRFS1). PDCD10 was selected for further studies because of the highe2021-01-01T00:00:00Z2021 Mar2026-04-07T17:55:26.797Z2021-02-21T09:00:54ZS-EPMC78469333351608910.1016/j.tranon.2021.101013