Department of Oncology Biomarker Development, Genentech, South San Francisco, California.
Department of Biostatistics, Genentech, South San Francisco, California.
Clin Cancer Res. 2019 Apr 1;25(7):2254-2263. doi: 10.1158/1078-0432.CCR-18-1593. Epub 2019 Jan 7.
We developed a method to monitor copy number variations (CNV) in plasma cell-free DNA (cfDNA) from patients with metastatic squamous non-small cell lung cancer (NSCLC). We aimed to explore the association between tumor-derived cfDNA and clinical outcomes, and sought CNVs that may suggest potential resistance mechanisms.
Sensitivity and specificity of low-pass whole-genome sequencing (LP-WGS) were first determined using cell line DNA and cfDNA. LP-WGS was performed on baseline and longitudinal cfDNA of 152 patients with squamous NSCLC treated with chemotherapy, or in combination with pictilisib, a pan-PI3K inhibitor. cfDNA tumor fraction and detected CNVs were analyzed in association with clinical outcomes.
LP-WGS successfully detected CNVs in cfDNA with tumor fraction ≥10%, which represented approximately 30% of the first-line NSCLC patients in this study. The most frequent CNVs were gains in chromosome 3q, which harbors the and oncogenes. The CNV landscape in cfDNA with a high tumor fraction generally matched that of corresponding tumor tissue. Tumor fraction in cfDNA was dynamic during treatment, and increases in tumor fraction and corresponding CNVs could be detected before radiographic progression in 7 of 12 patients. Recurrent CNVs, such as amplification, were enriched in cfDNA from posttreatment samples compared with the baseline, suggesting a potential resistance mechanism to pictilisib.
LP-WGS offers an unbiased and high-throughput way to investigate CNVs and tumor fraction in cfDNA of patients with cancer. It may also be valuable for monitoring treatment response, detecting disease progression early, and identifying emergent clones associated with therapeutic resistance.
我们开发了一种监测转移性鳞状非小细胞肺癌(NSCLC)患者血浆无细胞游离 DNA(cfDNA)中拷贝数变异(CNV)的方法。我们旨在探索肿瘤衍生的 cfDNA 与临床结局之间的关联,并寻找可能提示潜在耐药机制的 CNV。
首先使用细胞系 DNA 和 cfDNA 确定低覆盖全基因组测序(LP-WGS)的灵敏度和特异性。对 152 名接受化疗或联合泛 PI3K 抑制剂 pictilisib 治疗的鳞状 NSCLC 患者的基线和纵向 cfDNA 进行 LP-WGS。分析 cfDNA 肿瘤分数和检测到的 CNV 与临床结局的相关性。
LP-WGS 成功地在肿瘤分数≥10%的 cfDNA 中检测到 CNV,这大约代表了本研究中 30%的一线 NSCLC 患者。最常见的 CNV 是染色体 3q 的增益,该染色体包含 和 癌基因。高肿瘤分数 cfDNA 中的 CNV 图谱通常与相应的肿瘤组织相匹配。cfDNA 中的肿瘤分数在治疗过程中是动态的,在 12 名患者中的 7 名中,在影像学进展前可检测到肿瘤分数和相应 CNV 的增加。与基线相比,治疗后样本中 cfDNA 中反复出现的 CNV,如 扩增,更为丰富,这表明 pictilisib 存在潜在的耐药机制。
LP-WGS 为研究癌症患者 cfDNA 中的 CNV 和肿瘤分数提供了一种无偏倚且高通量的方法。它也可能对监测治疗反应、早期检测疾病进展以及识别与治疗耐药相关的新兴克隆具有重要价值。