Sunesis Pharmaceuticals, Inc., 395 Oyster Point Boulevard, South San Francisco, CA 94080, United States.
Published: July 2019
AI Article Synopsis
Article Abstract
Since the approval of ibrutinib for the treatment of B-cell malignancies in 2012, numerous clinical trials have been reported using covalent inhibitors to target Bruton's tyrosine kinase (BTK) for oncology indications. However, a formidable challenge for the pharmaceutical industry has been the identification of reversible, selective, potent molecules for inhibition of BTK. Herein, we report application of Tethering-fragment-based screens to identify low molecular weight fragments which were further optimized to improve on-target potency and ADME properties leading to the discovery of reversible, selective, potent BTK inhibitors suitable for pre-clinical proof-of-concept studies.
Contemporary studies of Bruton tyrosine kinase inhibitor (BTKi) resistance focus on mutations in the B-cell receptor (BCR) pathway, but alternative mechanisms of resistance remain undefined. Here, we sought to identify novel predictive markers of acquired resistance to acalabrutinib, a second-generation BTKi, in patients with chronic lymphocytic leukemia (CLL). Clinical samples from 41 patients with relapsed/refractory or treatment-naive CLL receiving acalabrutinib as part of a clinical trial (NCT02029443) were divided into two groups: those who continued to respond to treatment (NP, n = 23) and those who developed progressive disease on acalabrutinib therapy (PD, n = 18).
Identifying potential drug-drug interactions (DDIs) before clinical use is essential for patient safety yet remains a significant challenge in drug development. We presented DDI-GPT, a deep learning framework that predicts DDIs by combining knowledge graphs (KGs) and pre-trained large language models (LLMs), enabling early detection of potential drug interactions. We demonstrated that DDI-GPT outperforms current state-of-the-art methods by capturing contextual dependencies between biomedical entities to infer potential DDIs.
Brexucabtagene autoleucel (brexu-cel) has revolutionized the treatment of patients affected by mantle cell lymphomas. In this prospective, observational multicentre study, we evaluated 106 patients, with longitudinal brexu-cel kinetics in peripheral blood monitored in 61 of them. Clinical outcomes and toxicities are consistent with previous real-world evidence studies.
Purpose: Venetoclax and Bruton's tyrosine kinase inhibitors (BTKis) are key treatment options for patients with chronic lymphocytic leukemia (CLL) in the frontline setting. This study characterized postdiscontinuation treatment patterns and hospitalization of frontline venetoclax and BTKis in a national sample of older adults with CLL.
Methods: We identified 1,770 Medicare beneficiaries 66 years and older with CLL initiating venetoclax with obinutuzumab (VEN-O, n = 193) or BTKi treatment (n = 1,577) in the frontline setting between June 01, 2019, and June 30, 2020.
Bruton's tyrosine kinase inhibitors (BTKis) exhibit significant interindividual pharmacokinetics, making therapeutic drug monitoring (TDM) a promising approach for personalized therapy. However, simultaneous quantification of multiple BTKis poses technical challenges. A unified protocol for BTKis detection would be clinically desirable.
