Liquid biopsy tracking during sequential chemo-radiotherapy identifies distinct prognostic phenotypes in nasopharyngeal carcinoma.
Jiawei LvYupei ChenGuanqun ZhouZhenyu QiKuan Rui Lloyd TanHaitao WangLi LinFoping ChenLulu ZhangXiaodan HuangRuiqi LiuSisi XuYue ChenJun MaMatthew Chin Heng ChuaYuyao SunPublished in: Nature communications (2019)
Liquid biopsies have the utility for detecting minimal residual disease in several cancer types. Here, we investigate if liquid biopsy tracking on-treatment informs on tumour phenotypes by longitudinally quantifying circulating Epstein-barr virus (EBV) DNA copy number in 673 nasopharyngeal carcinoma patients undergoing radical induction chemotherapy (IC) and chemo-radiotherapy (CRT). We observe significant inter-patient heterogeneity in viral copy number clearance that is classifiable into eight distinct patterns based on clearance kinetics and bounce occurrence, including a substantial proportion of complete responders (≈30%) to only one IC cycle. Using a supervised statistical clustering of disease relapse risks, we further bin these eight subgroups into four prognostic phenotypes (early responders, intermediate responders, late responders, and treatment resistant) that are correlated with efficacy of chemotherapy intensity. Taken together, we show that real-time monitoring of liquid biopsy response adds prognostic information, and has the potential utility for risk-adapted treatment de-intensification/intensification in nasopharyngeal carcinoma.
Keyphrases
- copy number
- epstein barr virus
- locally advanced
- mitochondrial dna
- genome wide
- ultrasound guided
- ionic liquid
- patients undergoing
- diffuse large b cell lymphoma
- early stage
- rectal cancer
- radiation therapy
- squamous cell carcinoma
- single cell
- combination therapy
- risk assessment
- machine learning
- fine needle aspiration
- dna methylation
- photodynamic therapy
- sars cov
- healthcare
- heart failure
- radiation induced
- case report
- drug delivery
- cell free
- atrial fibrillation
- papillary thyroid
- nucleic acid