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Albiruni Ryan Abdul Razak

Researcher at Princess Margaret Cancer Centre

Publications -  253
Citations -  7154

Albiruni Ryan Abdul Razak is an academic researcher from Princess Margaret Cancer Centre. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 39, co-authored 195 publications receiving 5045 citations. Previous affiliations of Albiruni Ryan Abdul Razak include Harvard University & University Health Network.

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Evaluation of hyperprogression in patients with sarcoma treated with targeted therapy and/or immunotherapy in early-phase clinical trials.

TL;DR: In this paper , the authors evaluated hyper-progressive disease (HPD) in sarcoma patients treated in early-phase trials by assessing tumor growth rate (TGR) and describing their subsequent clinical outcomes.
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Abstract CT185: A phase I dose escalation study of a tegavivint (BC2059) a first-in-class TBL1 inhibitor for patients with progressive, unresectable desmoid tumors

TL;DR: Tegavivint is well tolerated with mostly Grade 1/2 adverse events and no Grade 3 TRAEs occurring in more than one patient, and the preliminary objective response rate of 18% in progressive desmoid tumors warrants continued research in the ongoing dose expansion portion of the study at the 5 mg/kg RP2D.
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34TiP Prospective analysis of intestinal microbiome and autoimmune panels as predictors of toxicity in immunoncology patients (INSPECT-IO Study)

TL;DR: This paper showed that individuals with irAE have higher baseline IgG autoantibody (autoAb) levels with a greater increase in IgG and IgM autoAb after ICI administration, compared to those without irAE.
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Referrals to a Phase I Clinic and Trial Enrollment in the Molecular Screening Era

TL;DR: This study evaluates patient referral and enrollment patterns in a large academic phase I clinical trials program following the implementation of a molecular profiling program and found performance status and referral from a physician within the institution were associated with successful trial enrollment, whereas prior molecular profiling was not an independent predictor.