De Marco Carmela, Zoppoli Pietro, Rinaldo Nicola, Morganella Sandro, Morello Matteo, Zuccalà Valeria, Carriero Maria Vincenza, Malanga Donatella, Chirillo Roberta, Bruni Paola, Malzoni Carmine, Di Vizio Dolores, Venturella Roberta, Zullo Fulvio, Rizzuto Antonia, Ceccarelli Michele, Ciliberto Gennaro, Viglietto Giuseppe
Department of Experimental and Clinical Medicine, "Magna Graecia", University Catanzaro, Italy.
Department of Experimental and Clinical Medicine, "Magna Graecia", University Catanzaro, Italy.
Transl Oncol. 2021 Mar;14(3):101013. doi: 10.1016/j.tranon.2021.101013. Epub 2021 Jan 27.
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 highest frequency of CNA. PDCD10 was found, by immunostaining of three different Tissue Micro Arrays, to be over-expressed in the majority of ovarian primary cancer samples and in metastatic lesions. Moreover, significant correlations were found in specific subsets of patients, between increased PDCD10 expression and grade (p < 0.005), nodal involvement (p < 0.05) or advanced FIGO stage (p < 0.01). Finally, manipulation of PDCD10 expression by shRNA in ovarian cancer cells (OVCAR-5 and OVCA429) demonstrated a positive role for PDCD10 in the control of cell growth and motility in vitro and tumorigenicity in vivo. In conclusion, this study allowed the identification of novel genes subjected to copy number alterations in ovarian cancer. In particular, the results reported here point to a prominent role of PDCD10 as a bona fide oncogene.
拷贝数改变(CNAs)是在卵巢癌细胞中发现的最常见的基因改变,是导致该癌症中广泛基因组不稳定的原因。在此,我们报告了通过基于单核苷酸多态性(SNP)的阵列对一组受卵巢癌影响的意大利患者进行拷贝数改变鉴定的情况。我们的分析鉴定出201个显著改变的染色体带(70个拷贝数增加;131个拷贝数减少)。将此处鉴定出的发生拷贝数改变的3300个基因与TCGA数据集中的基因进行了比较。该分析鉴定出11个拷贝数和信使核糖核酸(mRNA)表达增加的基因(程序性细胞死亡蛋白10、雌激素受体相关生长抑制蛋白9、NUDCD1、ENY2、酪蛋白激酶2α1、TBC1结构域蛋白20、锌指CCCH型包含3、星状结构域蛋白3、19号染色体开放阅读框12、POP4、泛醌细胞色素c还原酶核心蛋白1)。由于拷贝数改变频率最高,因此选择程序性细胞死亡蛋白10进行进一步研究。通过对三种不同组织微阵列进行免疫染色发现,程序性细胞死亡蛋白10在大多数卵巢原发性癌样本和转移病灶中过度表达。此外,在特定患者亚组中发现,程序性细胞死亡蛋白10表达增加与肿瘤分级(p < 0.005)、淋巴结受累(p < 0.05)或国际妇产科联盟(FIGO)晚期(p < 0.01)之间存在显著相关性。最后,通过短发夹RNA(shRNA)对卵巢癌细胞(OVCAR - 5和OVCA429)中程序性细胞死亡蛋白10的表达进行调控,结果表明程序性细胞死亡蛋白10在体外对细胞生长和运动以及体内致瘤性的控制中发挥积极作用。总之,本研究鉴定出了卵巢癌中发生拷贝数改变的新基因。特别是,此处报告的结果表明程序性细胞死亡蛋白10作为一种真正的癌基因发挥着重要作用。