Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico (CRO), IRCCS, 33081 Aviano, Italy.
Scientific Directorate, Centro di Riferimento Oncologico (CRO), IRCCS, 33081 Aviano, Italy.
Cells. 2019 Jun 14;8(6):584. doi: 10.3390/cells8060584.
Next-generation sequencing (NGS) technology has advanced knowledge of the genomic landscape of ovarian cancer, leading to an innovative molecular classification of the disease. However, patient survival and response to platinum-based treatments are still not predictable based on the tumor genetic profile. This retrospective study characterized the repertoire of somatic mutations in advanced ovarian cancer to identify tumor genetic markers predictive of platinum chemo-resistance and prognosis. Using targeted NGS, 79 primary advanced (III-IV stage, tumor grade G2-3) ovarian cancer tumors, including 64 high-grade serous ovarian cancers (HGSOCs), were screened with a 26 cancer-genes panel. Patients, enrolled between 1995 and 2011, underwent primary debulking surgery (PDS) with optimal residual disease (RD < 1 cm) and platinum-based chemotherapy as first-line treatment. We found a heterogeneous mutational landscape in some uncommon ovarian histotypes and in HGSOC tumor samples with relevance in predicting platinum sensitivity. In particular, we identified a poor prognostic signature in patients with HGSOC harboring concurrent mutations in two driver actionable genes of the panel. The tumor heterogeneity described, sheds light on the translational potential of targeted NGS approach for the identification of subgroups of patients with distinct therapeutic vulnerabilities, that are modulated by the specific mutational profile expressed by the ovarian tumor.
下一代测序 (NGS) 技术提高了对卵巢癌基因组图谱的认识,导致了疾病的创新分子分类。然而,基于肿瘤的遗传特征,患者的生存和对铂类治疗的反应仍然不可预测。本回顾性研究对晚期卵巢癌的体细胞突变谱进行了特征描述,以确定预测铂类化疗耐药性和预后的肿瘤遗传标志物。使用靶向 NGS,对 79 例晚期(III-IV 期,肿瘤分级 G2-3)卵巢癌肿瘤,包括 64 例高级别浆液性卵巢癌(HGSOC),进行了 26 个癌症基因面板的筛选。这些患者于 1995 年至 2011 年期间接受了初始肿瘤细胞减灭术(PDS),并进行了最佳残余疾病(RD < 1 cm)的铂类化疗作为一线治疗。我们在一些罕见的卵巢组织类型和具有预测铂类敏感性相关性的 HGSOC 肿瘤样本中发现了异质性的突变景观。特别是,我们在 HGSOC 患者中发现了一个预后不良的标志,这些患者同时存在该面板中两个驱动性可操作基因的突变。所描述的肿瘤异质性,为靶向 NGS 方法用于识别具有不同治疗弱点的患者亚组提供了转化潜力,这些弱点受卵巢肿瘤表达的特定突变谱调节。