Lymph node microenvironment provides chronic lymphocytic leukaemia (CLL) cells with signals promoting their survival and granting resistance to chemotherapeutics. CLL cells overexpress PIM kinases, which regulate apoptosis, cell cycle and migration. We demonstrate that BCR crosslinking, CD40 stimulation, and coculture with stromal cells increases PIMs expression in CLL cells, indicating microenvironment‐dependent PIMs regulation. PIM1 and PIM2 expression at diagnosis was higher in patients with advanced disease (Binet C vs. Binet A/B) and in those, who progressed after first‐line treatment. In primary CLL cells, inhibition of PIM kinases with a pan‐PIM inhibitor, SEL24‐B489, decreased PIM‐specific substrate phosphorylation and induced dose‐dependent apoptosis in leukaemic, but not in normal B cells. Cytotoxicity of SEL24‐B489 was similar in TP53‐mutant and TP53 wild‐type cells. Finally, inhibition of PIM kinases decreased CXCR4‐mediated cell chemotaxis in two related mechanisms‐by decreasing CXCR4 phosphorylation and surface expression, and by limiting CXCR4‐triggered mTOR pathway activity. Importantly, PIM and mTOR inhibitors similarly impaired migration, indicating that CXCL12‐triggered mTOR is required for CLL cell chemotaxis. Given the microenvironment‐modulated PIM expression, their pro‐survival function and a role of PIMs in CXCR4‐induced migration, inhibition of these kinases might override microenvironmental protection and be an attractive therapeutic strategy in this disease.
Prognostic impact of cytogenetic evolution in multiple myeloma 483 transplant (auto -HSCT) 11 have significantly improved the prognosis of patients with MM. However, most cases of MM are still incurable.Recent studies using next -generation sequencing (NGS) approaches have provided evidence that MM is characterized by spatial and temporal genetic heterogeneity and is composed of multiple populations of genetically distinct subclones, which evolve over time following a pattern INTRODUCTION Multiple myeloma (MM) is the third most common hematologic malignancy in the European Union, with approximately 33 000 new cases and 20 000 deaths annually. 1 The introduction of novel agents, such as proteasome inhibitors (PIs), 2-4 immunomodulatory drugs (IMiDs), 5 -7 and anti -CD38 monoclonal antibodies 8 -10 along with high -dose melphalan followed by autologous hematopoietic stem cell
Clonal evolution drives treatment failure in multiple myeloma (MM). Here, we used a custom 372-gene panel to track genetic changes occurring during MM progression at different stages of the disease. A tumor-only targeted next-generation DNA sequencing was performed on 69 samples sequentially collected from 30 MM patients. The MAPK/ERK pathway was mostly affected with KRAS mutated in 47% of patients. Acquisition and loss of mutations were observed in 63% and 37% of patients, respectively. Four different patterns of mutation evolution were found: branching-, mutation acquisition-, mutation loss- and a stable mutational pathway. Better response to anti-myeloma therapy was more frequently observed in patients who followed the mutation loss—compared to the mutation acquisition pathway. More than two-thirds of patients had druggable genes mutated (including cases of heavily pre-treated disease). Only 7% of patients had a stable copy number variants profile. Consequently, a redistribution in stages according to R-ISS between the first and paired samples (R-ISS″) was seen. The higher the R-ISS″, the higher the risk of MM progression and death. We provided new insights into the genetics of MM evolution, especially in heavily pre-treated patients. Additionally, we confirmed that redefining R-ISS at MM relapse is of high clinical value.
Background Ibrutinib, an inhibitor of the Bruton's kinase (BTK), is characterized by high efficacy in the therapy of patients with relapsed and refractory chronic lymphocytic leukemia (RR‐CLL). Aims To analyze the potential significance of the mutational status of selected 30 genes on the disease outcome in 45 patients with RR‐CLL using custom‐made gene panel and sequencing on Illumina MiSeq FGx platform. Results The highest rate of mutations was observed in TP53 (n = 18; 40.0%), NOTCH1 (n = 13; 28.8%), SF3B1 (n = 11; 24.4%), ATM (n = 7; 15.6%), MED12 (n = 6, 13.3%), CHD2 (n = 5; 11.1%), XPO1 (n = 5; 11.1%), NFKBIE (n = 5; 11.1%), BIRC3 (n = 4; 8.9%), SPEN (n = 4; 8.9%), POT1 (n = 4; 8.9%), EGR2 (n = 3; 6.7%), and RPS15 (n = 3; 6.7%). With a median observation time of 45.9 months, the median progression‐free survival (PFS) and overall survival (OS) were not reached. The 36‐month estimated rate of PFS and OS were 64% and 68.2%, respectively. The overall response rate was noted in 23 patients (51.1%), while twenty (44.4%) patients achieved stability. Progression was noted in 2 (4.5%) cases. Analyzed molecular factors had no impact on PFS and OS. Conclusion Despite accumulation of several poor prognostic factors in our real‐life cohort of heavily pretreated patients with CLL, ibrutinib treatment showed long‐term clinical benefit.
Abstract:The genetic basis of the peripheral blood cell parameters is not fully elucidated. Thus, it is essential to research the correlation between blood cell counts levels and the genome in laboratory animals and subsequently in humans. In the present study, we examined 288 F 2 mice from a cross between BALB/cW and C57BL/6J-Mpl hlb219 /J. The C57BL/6J-Mpl hlb219 /J strain is a mouse model of thrombocytopenia. We found very strong correlations for PLT counts and revealed some highly significant correlations for RBC counts. On the basis of the obtained results, we presume that genetic control of erythrocyte parameters is divided into two pathways: first, the morphological determinants responsible for the red blood cell count (RBC), hematocrit (HCT), and mean corpuscular volume (MCV), and second, the functional pathway determining the hemoglobin content (HGB). The locus on Chromosome 4 is the only detected quantitative trait locus (QTL) influencing the analyzed platelets parameters. We also detected highly significant correlations for erythrocyte parameters on Chromosome 1 (RBC, MCV, MCH), Chr 7 (HGB), Chr 9 (MCHC), Chr 11 (RBC), and Chr 17 (MCH). Finally, with regards to the given correlations, using the Mouse Genome Database resource, we proposed candidate genes with possible meaning for the level of these parameters: cytokine receptor genes (e.g., Mpl), transcription factor genes (e.g., Xbp1, Ikzf1), hemoglobin chain genes (e.g., , and many others localized in the confidence intervals of found QTLs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.