Clinical utility of serial analysis of circulating tumour cells for detection of minimal residual disease of metastatic nasopharyngeal carcinoma

Autor: Maria Li Lung, Wai Tong Ng, Wing-Sum Li, Yun-Hoi Lui, Chung-Kong Kwan, Ka-On Lam, Roger Kai Cheong Ngan, Candy Chi-Shan Lam, Wei Dai, Josephine Mun Yee Ko, Vince Vardhanabhuti, C. C. Yau, Stephen S.-T. Yau, Dora L.W. Kwong, Pek-Lan Khong, Kenneth Chun-Ho Chan, Sheyne Sta Ana Choi, Chen Guo, Lisa Chan Lei, Candy King-Chi Chan, Victor Ho-Fun Lee
Rok vydání: 2019
Předmět:
Zdroj: British Journal of Cancer
ISSN: 1532-1827
Popis: Background Nasopharyngeal carcinoma (NPC) is an important cancer in Hong Kong. We aim to utilise liquid biopsies for serial monitoring of disseminated NPC in patients to compare with PET-CT imaging in detection of minimal residual disease. Method Prospective serial monitoring of liquid biopsies was performed for 21 metastatic patients. Circulating tumour cell (CTC) enrichment and characterisation was performed using a sized-based microfluidics CTC chip, enumerating by immunofluorescence staining, and using target-capture sequencing to determine blood mutation load. PET-CT scans were used to monitor NPC patients throughout their treatment according to EORTC guidelines. Results The longitudinal molecular analysis of CTCs by enumeration or NGS mutational profiling findings provide supplementary information to the plasma EBV assay for disease progression for good responders. Strikingly, post-treatment CTC findings detected positive findings in 75% (6/8) of metastatic NPC patients showing complete response by imaging, thereby demonstrating more sensitive CTC detection of minimal residual disease. Positive baseline, post-treatment CTC, and longitudinal change of CTCs significantly associated with poorer progression-free survival by the Kaplan–Meier analysis. Conclusions We show the potential usefulness of application of serial analysis in metastatic NPC of liquid biopsy CTCs, as a novel more sensitive biomarker for minimal residual disease, when compared with imaging.
Databáze: OpenAIRE