Diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma are the most prevalent B-lymphocyte neoplasms in which abnormal activation of the Bruton tyrosine kinase (BTK)-mediated B-cell receptor signaling pathway contributes to pathogenesis. Ibrutinib is an oral covalent BTK inhibitor that has shown some efficacy in both indications. To improve ibrutinib efficacy through combination therapy, we first investigated differential gene expression in parental and ibrutinib-resistant cell lines to better understand the mechanisms of resistance. Ibrutinib-resistant TMD8 cells had higher gene expression and increased sensitivity to ABT-199, a BCL-2 inhibitor. Consistently, clinical samples from ABC-DLBCL patients who experienced poorer response to ibrutinib had higher gene expression. We further demonstrated synergistic growth suppression by ibrutinib and ABT-199 in multiple ABC-DLBCL, GCB-DLBCL, and follicular lymphoma cell lines. The combination of both drugs also reduced colony formation, increased apoptosis, and inhibited tumor growth in a TMD8 xenograft model. A synergistic combination effect was also found in ibrutinib-resistant cells generated by either genetic mutation or drug treatment. Together, these findings suggest a potential clinical benefit from ibrutinib and ABT-199 combination therapy. .
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http://dx.doi.org/10.1158/1535-7163.MCT-16-0555 | DOI Listing |
Br J Haematol
January 2025
Department of Medicine and Surgery, University of Insubria, Varese, Italy.
Allogeneic hematopoietic stem cell transplantation (alloHSCT) remains an option for young and fit chronic lymphocytic leukaemia (CLL) patients with high-risk disease features. However, allotransplanted patients are generally excluded from clinical trials, making data regarding the use of venetoclax after alloHSCT extremely rare. We report data from 7 CLL patients who received venetoclax after alloHSCT among 53 Italian centers.
View Article and Find Full Text PDFExpert Rev Anticancer Ther
January 2025
Department of Hematology, S. M. Goretti Hospital, Polo Universitario Pontino, Latina, Italy.
Blood Res
January 2025
Department of Hematology-Oncology, Inha University College of Medicine and Hospital, 7-206 Third Street, Shinheung-Dong Jung-Gu, Incheon, Republic of Korea.
Purpose: This network meta-analysis aimed to evaluate the relative efficacy of systemic treatments in patients with relapsed/refractory chronic lymphocytic leukemia (R/R CLL), focusing on key genetic mutations, specifically the 17p deletion and TP53 mutations.
Methods: We conducted a systematic literature review to identify all publicly available randomized controlled trials (RCTs) using PubMed, EMBASE, the Cochrane database, and meeting abstracts published through December 2023. A Bayesian network meta-analysis was performed to estimate the hazard ratios (HRs) for progression-free survival (PFS) with 95% confidence intervals (CIs) and to determine the ranking of the included regimens.
Int J Mol Sci
November 2024
Haematology-Pathology Research Laboratory, Research Unit for Haematology and Research Unit for Pathology, University of Southern Denmark and Odense University Hospital, 5000 Odense, Denmark.
Chronic lymphocytic leukemia (CLL) is characterized by the accumulation of B cells due to constitutive B-cell receptor (BCR) signaling, leading to apoptosis resistance and increased proliferation. This study evaluates the effects of the Bruton Tyrosine Kinase (BTK) inhibitor ibrutinib on the molecular composition, clonality, and kinetics of B cells during treatment in CLL patients. Employing a multi-omics approach of up to 3.
View Article and Find Full Text PDFCancers (Basel)
November 2024
Haematology Department, Hospital Universitario de la Princesa, 28004 Madrid, Spain.
The SRealCLL study described the occurrence of adverse events (AEs) and healthcare resource utilization in patients with chronic lymphocytic leukaemia (CLL) using artificial intelligence in a real-world scenario in Spain. We collected real-world data on patients with CLL from seven Spanish hospitals between January 2016 and December 2018, focusing on their AE and healthcare service utilization. Data extraction from electronic health records of 385,904 patients was performed using the EHRead technology, which is based on natural language processing and machine learning.
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