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Here we describe the rationale and design of MAJIC, a phase III, prospective, multicenter, randomized trial comparing the combination of the BTK inhibitor acalabrutinib plus the BCL2 inhibitor venetoclax versus the combination of venetoclax plus obinutuzumab as frontline treatment for chronic lymphocytic leukemia or small lymphocytic lymphoma. In both treatment arms, disease response (assessed by International Workshop on Chronic Lymphocytic Leukemia criteria) and minimal residual disease will be used to guide therapy duration, with all patients ultimately discontinuing treatment after a maximum of 2 years. The primary end point is progression-free survival. Key secondary end points include rates of undetectable minimal residual disease, overall response and overall survival. This study will address key unanswered questions in frontline chronic lymphocytic leukemia/small lymphocytic lymphoma therapy by investigating the optimal duration of finite treatment and identifying the optimal venetoclax doublet regimen.This article describes the design of the MAJIC clinical trial, which investigates two different treatment combinations for patients with chronic lymphocytic leukemia (CLL) or small lymphocytic lymphoma (SLL) who have not received treatment for their disease previously. Patients will be randomized (put into a group by chance) to receive either acalabrutinib + venetoclax (AV) or venetoclax + obinutuzumab (VO). VO is already an approved initial treatment option for CLL/SLL. Acalabrutinib is also an approved initial treatment option when given by itself, but the AV combination is not yet approved. We are doing this study to better understand and directly compare how well AV and VO work when used for the treatment of CLL/SLL. A test done on the blood and bone marrow called ‘minimal residual disease’ will be used to help guide the length of time that patients receive treatment.

Background and aims We hypothesized that a drug’s clinical signature (or phenotype) of liver injury can be assessed and used to quantitatively develop a computer-assisted DILI causality assessment-tool (DILI-CAT). Therefore, we evaluated drug-specific DILI-phenotypes for amoxicillin-clavulanate (AMX/CLA), cefazolin, cyproterone, and Polygonum multiflorum using data from published case series, to develop DILI-CAT scores for each drug. Methods Drug specific phenotypes were made up of the following three clinical features: (1) latency, (2) R-value, and (3) AST/ALT ratio. A point allocation system was developed with points allocated depending on the variance from the norm (or “core”) for the 3 variables in published datasets. Results The four drugs had significantly different phenotypes based on latency, R-value, and AST/ALT ratio. The median cyproterone latency was 150 days versus < 43 days for the other three drugs (median: 26 for AMX/CLA, 20 for cefazolin, and 20 for Polygonum multiflorum; pPolygonum multiflorum [median 10.9]) from AMX/CLA [median 1.44] and cefazolin [median 1.57; pPolygonum multiflorum from AMX/CLA and cefazolin, respectively (p Conclusions DILI-CAT is a data-driven, diagnostic tool built to define drug-specific phenotypes for DILI adjudication. The data provide proof of principle that a drug-specific, data-driven causality assessment tool can be developed for different drugs and raise the possibility that such a process could enhance causality assessment methods.