Clinical significance of real-timing longitudinal monitoring of liquid biopsies for advanced colorectal cancer

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Grant Data
Project Title
Clinical significance of real-timing longitudinal monitoring of liquid biopsies for advanced colorectal cancer
Principal Investigator
Dr Ko, Josephine Mun Yee   (Principal Investigator (PI))
Co-Investigator(s)
Dr Chiu Wan Hang Keith   (Co-Investigator)
Dr Lo Wing Ip Anthony   (Co-Investigator)
Dr Lam Ka On   (Co-Investigator)
Duration
48
Start Date
2022-01-01
Amount
1500000
Conference Title
Clinical significance of real-timing longitudinal monitoring of liquid biopsies for advanced colorectal cancer
Keywords
circulating tumor cells, Colorectal cancer, Epithelial mesenchymal transition (EMT), liquid biopsy, plasma circular RNA, serial non-invasive monitoring
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
08192926
Grant Type
Health and Medical Research Fund - Full Grant
Funding Year
2020
Status
On-going
Objectives
Objectives: To evaluate the predictive and prognostic value of epithelial CTC-E, mesenchymal CTC-M, and ciRS-7 status for advanced colorectal cancer (CRC) for metastatic relapse Hypothesis to be tested: Serial monitoring by liquid biopsy with CTC enumeration status (defined by epthithelial, mesenchymal, and cancer stemness markers) and circular RNA (ciRS-7) status, is useful for prediction and prognostication of metastatic relapse Design and subjects: Prospective study: 150 patients with advanced CRC receiving first-line treatment will be recruited. The patients will be divided into test set (63) and validation set (85), for endpoint analysis with disease relapse in 3-year Instruments: 20 ml of blood will be collected for CTC enumeration by immune-fluorescence staining and ciRS-7 expression analysis by RT-qPCR. Interventions: None. Main outcome measures: (1) endpoints: recurrence-free survival (RFS) and overall survival (OS) (2) CTC-E, CTC-M, CTC-(E+M) and ciRS-7 status at baseline, pre-cycle III, and end of treatment as independent prognostic biomarker for RFS and OS Data analysis: The Kaplan-Meier survival analysis and log rank test will be used for comparing survival difference between two groups of CRC patients. Cox proportional hazards regression analysis will be used to correlate CTC and ciRS-7 status, and other clinicopathologic factors for predicting RFS and OS. All statistical analyses will be performed using SPSS. Expected results: Determine whether CTC and ciRS-7 status are independent prognostic biomarkers for metastatic relapse and survival for advanced CRC patients.