Noguchi Tomoko, Iwahashi Naoyuki, Sakai Kazuko, Matsuda Kaho, Matsukawa Hitomi, Toujima Saori, Nishio Kazuto, Ino Kazuhiko
Department of Obstetrics and Gynecology, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Japan.
Department of Genome Biology, Kindai University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka 589-8511, Japan.
Cancers (Basel). 2020 Nov 16;12(11):3382. doi: 10.3390/cancers12113382.
Liquid biopsies from circulating tumor DNA (ctDNA) have been employed recently as a non-invasive diagnostic tool for detecting cancer-specific gene mutations. Here, we show the comprehensive gene mutation profiles of ctDNA in 51 patients with different histological subtypes of stage I-IV ovarian cancer, and their association with clinical outcomes. The ctDNA extracted from pre-treatment patients' plasma were analyzed using Cancer Personalized Profiling by Deep Sequencing targeting 197 genes. Of 51 patients, 48 (94%) showed one or more non-synonymous somatic mutations, including (37.3%), (17.6%), (15.7%), (13.7%), (11.8%), (11.8%), (11.8%), and (9.8%). The most frequently mutated genes were as follows: in high-grade serous carcinoma (66.7%), in clear cell carcinoma (30.8%), PIK3CA in endometrioid carcinoma (40%), and in mucinous carcinoma (66.7%). Higher cell-free (cf)DNA concentration significantly correlated with worse progression-free survival (PFS) in all patients as well as stage III-IV patients ( = 0.01 and 0.005, respectively). Further, patients with any pathogenic mutations showed significantly worse PFS ( = 0.048). Blood tumor mutational burden detected from ctDNA did not significantly correlate with the histological subtypes or survival. Collectively, clinico-genomic profiles of individual ovarian cancer patients could be identified using ctDNA and may serve as a useful prognostic indicator. These findings suggest that ctDNA-based gene profiling might help in establishing personalized therapeutic strategies.
循环肿瘤DNA(ctDNA)液体活检最近已被用作检测癌症特异性基因突变的非侵入性诊断工具。在此,我们展示了51例不同组织学亚型的I-IV期卵巢癌患者ctDNA的综合基因突变谱,以及它们与临床结局的关联。使用针对197个基因的深度测序癌症个性化分析方法,对预处理患者血浆中提取的ctDNA进行分析。在51例患者中,48例(94%)显示一个或多个非同义体细胞突变,包括(37.3%)、(17.6%)、(15.7%)、(13.7%)、(11.8%)、(11.8%)、(11.8%)和(9.8%)。最常发生突变的基因如下:高级别浆液性癌中的(66.7%)、透明细胞癌中的(30.8%)、子宫内膜样癌中的PIK3CA(40%)以及黏液性癌中的(66.7%)。在所有患者以及III-IV期患者中,较高的游离(cf)DNA浓度与较差的无进展生存期(PFS)显著相关(分别为P = 0.01和0.005)。此外,有任何致病性突变的患者显示出显著更差的PFS(P = 0.048)。从ctDNA检测到的血液肿瘤突变负荷与组织学亚型或生存率无显著相关性。总体而言,使用ctDNA可以识别个体卵巢癌患者的临床基因组谱,并可能作为有用的预后指标。这些发现表明基于ctDNA的基因分析可能有助于制定个性化治疗策略。