The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Cancer. 2023 Jun 1;129(11):1672-1680. doi: 10.1002/cncr.34724. Epub 2023 Mar 17.
Tumor-based next-generation sequencing is used inconsistently as a tool to tailor treatment of ovarian cancer, yet beyond detection of somatic BRCA1 and BRCA2 mutations, the clinical benefit is not well established. This study aimed to assess the clinical relevance of tumor-based next-generation sequencing (tbNGS) in patients with ovarian cancer.
This retrospective study included patients with high-grade epithelial ovarian carcinoma. tbNGS results were identified in the electronic medical record using optical character recognition and natural language processing. Genetic, clinical, and demographic information was collected. Progression-free survival (PFS) and overall survival were calculated and compared using log-rank tests. Multivariate Cox regression and clustering analyses were used to identify patterns of genetic alterations associated with survival.
Of 1092 patients in the described population, 409 (37.5%) had tbNGS results. Nearly all (96.1% [393/409]) had one or more genetic alterations. In 25.9% (106/409) of patients, an alteration that aligned with a targeted treatment was identified, and in an additional 48.7% (199/409), tbNGS results suggested eligibility for an investigational agent or clinical trial. The most frequent alterations were TP53, PIK3CA, and NF1 mutations, and CCNE1 amplification. Together, BRCA1 and BRCA2 mutations were associated with longer PFS (hazard ratio [HR], 0.62; 95% confidence interval [CI], 0.42-0.92; p = .02), whereas AKT2 amplification was associated with shorter PFS (HR, 3.86; 95% CI, 1.002-14.88; p < .05). Multivariate Cox regression and clustering analyses identified several combinations of genetic alterations that corresponded to outcomes in patients with high-grade serous carcinoma.
tbNGS often yields clinically relevant information. Detailed analysis of population-level tumor genomics may help to identify therapeutic targets and guide development of clinical decision support tools.
Although more and more patients with ovarian cancer are undergoing tumor-based next-generation sequencing to identify genetic mutations in their tumors, the benefits of such testing are not well established. In a group of over 400 patients with ovarian cancer who underwent tumor-based next-generation sequencing in the course of their treatment, nearly all patients had one or more genetic alterations detected, and one out of four patients had a mutation that qualified them for a personalized treatment option.
肿瘤基因测序作为一种针对卵巢癌的治疗方法,其应用并不统一,但其临床获益尚未得到充分证实,除了检测体细胞 BRCA1 和 BRCA2 突变。本研究旨在评估卵巢癌患者肿瘤基因测序(tbNGS)的临床相关性。
本回顾性研究纳入了高级别上皮性卵巢癌患者。使用光学字符识别和自然语言处理技术在电子病历中识别 tbNGS 结果。收集了遗传、临床和人口统计学信息。使用对数秩检验比较无进展生存期(PFS)和总生存期。使用多变量 Cox 回归和聚类分析确定与生存相关的遗传改变模式。
在所描述的人群中,1092 例患者中有 409 例(37.5%)有 tbNGS 结果。几乎所有(96.1%[393/409])患者均存在一种或多种基因改变。在 25.9%(106/409)的患者中,发现了与靶向治疗相符的改变,另外 48.7%(199/409)的患者的 tbNGS 结果提示适合使用试验性药物或临床试验。最常见的改变是 TP53、PIK3CA 和 NF1 突变以及 CCNE1 扩增。BRCA1 和 BRCA2 突变共同与更长的 PFS 相关(风险比 [HR],0.62;95%置信区间 [CI],0.42-0.92;p=0.02),而 AKT2 扩增与更短的 PFS 相关(HR,3.86;95%CI,1.002-14.88;p<0.05)。多变量 Cox 回归和聚类分析确定了与高级别浆液性癌患者结局相对应的几种基因改变组合。
tbNGS 通常会提供有临床意义的信息。对人群水平肿瘤基因组学的详细分析可能有助于确定治疗靶点,并指导开发临床决策支持工具。