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MRD-guided zanubrutinib, venetoclax and obinutuzumab in relapsed CLL: primary endpoint analysis from the CLL2-BZAG trial.

Blood

January 2025

Department I of Internal Medicine and German CLL Study Group; Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD); University of Cologne, Faculty of Medicine and University Hos, Cologne, Germany.

The phase 2 CLL2-BZAG trial tested a measurable residual disease (MRD)-guided combination treatment of zanubrutinib, venetoclax and obinutuzumab after an optional bendamustine debulking in patients with relapsed/refractory CLL. In total, 42 patients were enrolled and two patients with ≤2 induction cycles were excluded from the analysis population per protocol. Patients had a median of one prior therapy (range 1-5), 18 patients (45%) had already received a BTK inhibitor (BTKi), seven patients (17.

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In plasma, the zymogens factor XII (FXII) and prekallikrein reciprocally convert each other to the proteases FXIIa and plasma kallikrein (PKa). PKa cleaves high-molecular-weight kininogen (HK) to release bradykinin, which contributes to regulation of blood vessel tone and permeability. Plasma FXII is normally in a "closed" conformation that limits activation by PKa.

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Kratom is a plant with alkaloids acting at opioid, serotonergic, adrenergic, and other receptors. Consumers report numerous use motivations. To distinguish subgroups of kratom consumers by kratom-use motivations using latent-class analysis.

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Purpose: Asparaginase (ASN) is a critical component of pediatric ALL protocols. Until recently, ASN was available in three formulations: native Escherichia coli, PEGylated E. coli (PEG), and Erwinase, with native E.

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A feature-based approach for atlas selection in automatic pelvic segmentation.

PLoS One

January 2025

Department of Radiation Physics, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.

Accurate and efficient automatic segmentation is essential for various clinical tasks such as radiotherapy treatment planning. However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. In this work, we have proposed an atlas selection procedure (subset atlas grouping approach, MAS-SAGA) which utilized both image similarity and volume features for selecting the best-fitting atlases for contour propagation.

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