Abstract 2655
Background
Previous studies reveal that key oncogenic pathways are shared across various human cancer types, and molecularly targeted therapies show clinical efficacy, influenced by predictive biomarkers rather than by tumor histologic types. These results raised the concept of biomarker-driven therapy that enables personalized cancer treatment regardless of tumor location and origin. We hereby introduce the designs and goals of the K-BASKET trial (Korea-biomarker-driven multi-arm drug-screening, knowledge and evidence-generating targeted trial), enabling to match the right drug to right target like NCI-MATCH trial.
Trial design
This is a proof-of-concept phase II multiple basket trial to test the clinical significance of matched targeted therapies with comprehensive biomarker profiling. The patients with refractory metastatic or unresectable cancer of various origins will be screened for molecular biomarkers by next-generation sequencing, immunohistochemical staining, and in situ hybridization. Those who have cancer with druggable biomarkers will be treated with matched targeted agents. Three treatment arms for the second step are the followings; 1) Patients with MET amplification or exon 14 skipping MET mutation will be assigned to the TAS-115 arm, a novel multikinase inhibitor. 2) Patients with activating PIK3CA or AKT mutations will be assigned to the TAS-117 arm, a novel selective AKT inhibitor. 3) The remaining patients will be screened for PD-L1/MSI/EBV status and those with positive PD-L1/MSI/EBV results or PolD/PolE mutations will be treated with PD-L1 monoclonal antibody. The clinical efficacy and safety of the targeted therapy, as well as the feasibility of molecular profiling and drug matching, will be tested. This study is particularly relevant because: 1) it will identify new indications and predictive biomarkers of targeted therapies in common cancer types in Asian; 2) it is one of the earliest basket trials in tumor immunotherapy and molecular profiling. We anticipate that this trial will provide valuable information on biomarker-driven therapy in clinical practices of personalized treatment.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Yonsei University.
Funding
National R&D Program for Cancer Control, Ministry of Health and Welfare, Republic of Korea (HA16C0018).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
3523 - Results of a global external quality assessment scheme for EGFR testing on liquid biopsy
Presenter: Nicola Normanno
Session: Poster Display session 3
Resources:
Abstract
3295 - Clinical impact of plasma Next-Generation Sequencing (NGS) in advanced Non-small cell lung cancer (aNSCLC)
Presenter: Laura Bonanno
Session: Poster Display session 3
Resources:
Abstract
5632 - Feasibility study of a ctEGFR prototype assay on the fully automated Idylla™ platform
Presenter: Martin Reijans
Session: Poster Display session 3
Resources:
Abstract
3614 - Enhanced Access to EGFR Molecular Testing in NSCLC using a Cell-Free DNA Tube for Liquid Biopsy
Presenter: Theresa May
Session: Poster Display session 3
Resources:
Abstract
5664 - Analysis of circulating tumor DNA in paired plasma and sputum samples of EGFR-mutated NSCLC patients
Presenter: Christina Grech
Session: Poster Display session 3
Resources:
Abstract
4945 - Liquid biopsy and Array Comparative Genomic Hybridization (aCGH)
Presenter: Panagiotis Apostolou
Session: Poster Display session 3
Resources:
Abstract
5746 - Next-generation sequencing panel verification to detect low frequency single nucleotide and copy number variants from mixing cell line studies
Presenter: Rocio Rosas-Alonso
Session: Poster Display session 3
Resources:
Abstract
5901 - Automated rarefaction analysis for precision B and T cell receptor repertoire profiling from peripheral blood and FFPE-preserved tumor
Presenter: Luca Quagliata
Session: Poster Display session 3
Resources:
Abstract
2027 - A Heptamethine cyanine dye is a potential diagnostic marker for Myeloid-Derived Suppressor Cells
Presenter: Chaeyong Jung
Session: Poster Display session 3
Resources:
Abstract
5517 - Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: a prospective pilot study.
Presenter: Jean-Marc Nabholtz
Session: Poster Display session 3
Resources:
Abstract