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转移性癌症患者游离 DNA 中癌症基因的两点 NGS 分析。

Two-point-NGS analysis of cancer genes in cell-free DNA of metastatic cancer patients.

机构信息

Medical Genetics, University of Siena, Siena, Italy.

Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy.

出版信息

Cancer Med. 2020 Mar;9(6):2052-2061. doi: 10.1002/cam4.2782. Epub 2020 Jan 28.

Abstract

BACKGROUND

Although the efficacy of molecularly target agents in vitro, their use in routine setting is limited mainly to the use of anti-HER2 and antiEGFR agents in vivo. Moreover, core biopsy of a single cancer site may not be representative of the whole expanding clones and cancer molecular profile at relapse may differ with respect to the primary tumor.

METHODS

We assessed the status of a large panel of cancer driver genes by cell-free DNA (cfDNA) analysis in a cohort of 68 patients with 13 different solid tumors at disease progression. Whenever possible, a second cfDNA analysis was performed after a mean of 2.5 months, in order to confirm the identified clone(s) and to check the correlation with clinical evolution.

RESULTS

The approach was able to identify clones plausibly involved in the disease progression mechanism in about 65% of cases. A mean of 1.4 mutated genes (range 1-3) for each tumor was found. Point mutations in TP53, PIK3CA, and KRAS and copy number variations in FGFR3 were the gene alterations more commonly observed, with a rate of 48%, 20%, 16%, and 20%, respectively. Two-points-Next-Generation Sequencing (NGS) analysis demonstrated statistically significant correlation between allele frequency variation and clinical outcome (P = .026).

CONCLUSIONS

Irrespective of the primary tumor mutational burden, few mutated genes are present at disease progression. Clinical outcome is consistent with variation of allele frequency of specific clones indicating that cfDNA two-point-NGS analysis of cancer driver genes could be an efficacy tool for precision oncology.

摘要

背景

尽管分子靶向药物在体外具有疗效,但它们在常规环境中的应用主要限于体内使用抗 HER2 和抗 EGFR 药物。此外,单个癌灶的核心活检可能无法代表整个扩展克隆,复发时的癌症分子谱可能与原发性肿瘤不同。

方法

我们通过对 68 例患有 13 种不同实体瘤的患者的肿瘤样本进行无细胞 DNA(cfDNA)分析,评估了一个大型癌症驱动基因面板的状态。在疾病进展时,尽可能对每个患者进行两次 cfDNA 分析,两次分析平均间隔 2.5 个月,以确认鉴定的克隆,并检查与临床演变的相关性。

结果

该方法能够在约 65%的病例中识别出可能参与疾病进展机制的克隆。平均每个肿瘤发现 1.4 个突变基因(范围为 1-3)。最常见的基因改变是 TP53、PIK3CA 和 KRAS 的点突变,以及 FGFR3 的拷贝数变异,发生率分别为 48%、20%、16%和 20%。双点下一代测序(NGS)分析表明,等位基因频率变化与临床结局之间存在统计学显著相关性(P=0.026)。

结论

无论原发性肿瘤的突变负担如何,在疾病进展时存在的突变基因数量较少。临床结局与特定克隆等位基因频率的变化一致,表明对癌症驱动基因的 cfDNA 双点 NGS 分析可能是精准肿瘤学的一种疗效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7545/7064095/d1a89c913d73/CAM4-9-2052-g001.jpg

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