Regorafenib is a valuable treatment option for metastatic colorectal cancer patients who have progressed after prior standard treatments. Prior progression-free survival data suggest that there could be a distinct subgroup of patients that may benefit from regorafenib. The aim of this study is to identify predictive biomarker of regorafenib in terms of its efficacy.
Regorafenib is a multi-tyrosine kinase inhibitor which has been shown to increase survival in metastatic colorectal cancer patients who have progressed after prior standard treatments. Progression-free survival data suggest that there could be a distinct subgroup of patients that may benefit from regorafenib. Therefore, it would be important to identify predictive biomarker of efficacy of regorafenib. Considering that regorafenib is a multi-tyrosine kinase inhibitor, comprehensive approach is required to discover predictive biomarker. NGS-based sequencing allows generating large amount of data regarding multiple genes and multiple genetic alterations within a single experiment. Also, it requires less amount of DNA or tissue and cost compared to currently used individual gene testing techniques such as direct sequencing or FISH. Moreover, superior sensitivity over Sanger sequencing can be obtained by increasing coverage depth, especially in cases with low tumor purity. Wide range of genes targeted by regorafenib and genes in the major oncogenic pathway of colorectal cancer influenced by regorafenib can be efficiently assessed using NGS-based sequencing. The aim of this study is to identify predictive biomarker of efficacy of regorafeinib in metastatic, refractory colorectal cancer patients using NGS technology.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
117
Regorafenib will be given 160mg once daily for 3 weeks, followed by a 1 week rest. Treatment will be continued until disease progression or unacceptable toxicity occurs. Response evaluation (CT scans) will be performed every 2 cycles.
Seoul National University Hospital
Seoul, South Korea
Predictive biomarker in terms of disease control rate
This study aims at identifying potential molecular subgroup of colorectal cancer that may benefit from regorafenib treatment in terms of disease control rate.
Time frame: 1 year
Disease control rate
Disease control rate in all treated population
Time frame: 1 year
Progression-free survival
Progression-free survival in all treated population
Time frame: 1 year
Overall survival
Overall survival in all treated population
Time frame: 1 year
number of participants with adverse events
adverse events according to NCI-CTCAE v.4.0
Time frame: 1 year
Progression-free survival according to biomarker status
Progression-free survivals will be compared according to biomarker status
Time frame: 1 year
Overall survival according to biomarker status
Overall survivals will be compared according to biomarker status
Time frame: 1 year
Assessment of adequate response evaluation modality after regorafenib treatment
Changes in size, CT attenuation (HFU) and PET metabolism (SUV) will be evaluated and assessed in relation to survival outcomes
Time frame: 1 year
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