Oellerich Michael, Schütz Ekkehard, Beck Julia, Walson Philip D
Department of Clinical Pharmacology, University Medical Center Goettingen, Goettingen, Germany.
Chronix Biomedical, Goettingen, Germany.
Ther Drug Monit. 2019 Apr;41(2):115-120. doi: 10.1097/FTD.0000000000000566.
Genomic analyses in oncologic care allow for the development of more precise clinical laboratory tests that will be critical for personalized pharmacotherapy. Traditional biopsy-based approaches are limited by the availability of sequential tissue specimens to detect resistance. Blood-based genomic profiling ("liquid biopsy") is useful for longitudinal monitoring of tumor genomes and can complement biopsies. Tumor-associated mutations can be identified in cell-free tumor DNA (ctDNA) from patient blood samples and used for monitoring disease activity. The US Food and Drug Administration approved a liquid biopsy test for EGFR-activating mutations in patients with non-small-cell lung cancer as a companion diagnostic for therapy selection. ctDNA also allows for the identification of mutations selected by treatment such as EGFR T790M in non-small-cell lung cancer. ctDNA can also detect mutations such as KRAS G12V in colorectal cancer and BRAF V600E/V600K in melanoma. Chromosomal aberration pattern analysis by low-coverage whole genome sequencing is a new, broader approach. Genomic imbalances detected in cell-free DNA (cfDNA) can be used to compute a copy number instability (CNI) score. In clinical studies, it was demonstrated that the change in CNI score can serve as an early predictor of therapeutic response to chemotherapy/immunotherapy of many cancer types. In multivariable models, it could be shown that the CNI score was superior to clinical parameters for prediction of overall survival in patients with head and neck cancer. There is emerging evidence for the clinical validity of ctDNA testing regarding identification of candidates for targeted therapies, prediction of therapeutic response, early detection of recurrence, resistance mutation detection, measuring genetic heterogeneity, tumor burden monitoring, and risk stratification. Improvement of sensitivity to detect tumors at very early stages is difficult due to insufficient mutant DNA fraction of ≤0.01%. Further developments will include validation in prospective multicenter interventional outcome studies and the development of digital platforms to integrate diagnostic data.
肿瘤治疗中的基因组分析有助于开发更精确的临床实验室检测方法,这对个性化药物治疗至关重要。传统的基于活检的方法受到连续组织样本可用性的限制,难以检测耐药性。基于血液的基因组分析(“液体活检”)有助于对肿瘤基因组进行纵向监测,并可作为活检的补充。肿瘤相关突变可在患者血液样本的游离肿瘤DNA(ctDNA)中被识别出来,并用于监测疾病活动。美国食品药品监督管理局批准了一项针对非小细胞肺癌患者EGFR激活突变的液体活检检测,作为治疗选择的伴随诊断方法。ctDNA还能识别出治疗过程中选择的突变,如非小细胞肺癌中的EGFR T790M。ctDNA也能检测出结直肠癌中的KRAS G12V和黑色素瘤中的BRAF V600E/V600K等突变。通过低覆盖度全基因组测序进行染色体畸变模式分析是一种新的、更广泛的方法。在游离DNA(cfDNA)中检测到的基因组失衡可用于计算拷贝数不稳定性(CNI)评分。临床研究表明,CNI评分的变化可作为多种癌症类型化疗/免疫治疗疗效的早期预测指标。在多变量模型中,可以证明CNI评分在预测头颈癌患者总生存期方面优于临床参数。关于ctDNA检测在识别靶向治疗候选者、预测治疗反应、早期复发检测、耐药突变检测、测量基因异质性、肿瘤负荷监测和风险分层方面的临床有效性,正在出现越来越多的证据。由于突变DNA比例≤0.01%不足,提高在极早期阶段检测肿瘤的灵敏度很困难。未来的发展将包括在前瞻性多中心干预结局研究中进行验证,以及开发整合诊断数据的数字平台。