scholarly journals A microRNA prevents resistance to targeted therapy in chronic myeloid leukemia

2020 ◽  
Vol 4 ◽  
pp. 10-10
Author(s):  
Arevik Ghazaryan ◽  
Charles B. Goodwin ◽  
Ryan M. O’Connell
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Syarifah Faezah Syed Mohamad ◽  
Marjanu Hikmah Elias

Abstract Background Chronic myeloid leukemia (CML) is a myeloproliferative disorder characterized by the expression of the BCR-ABL1 fusion gene. Tyrosine kinase inhibitors (TKI) are used to treat CML, but mutations in the tyrosine kinase domain contribute to CML chemo-resistance. Therefore, finding alternative molecular-targeted therapy is important for the comprehensive treatment of CML. MicroRNAs (miRNA) are small non-coding regulatory RNAs which suppress the expression of their target genes by binding to the 3′ untranslated region (3′UTR) of the target mRNA. Hypothetically, the miRNA-mRNA interaction would suppress BCR-ABL1 expression and consequently reduce and inhibit CML cell proliferation. Thus, our objective was to determine the target interaction of human and plant miRNAs targeting the 3′UTR region of BCR-ABL1 in terms of miRNA binding conformity, protein interaction network, and pathways using in silico analysis. The 3′UTR sequence of BCR-ABL1 is obtained from Ensembl Genome Browser while the binding conformity was determined using the PsRNATarget Analysis Server, RNA22, Target Rank Server, and DIANA TOOLS. Protein-protein interaction network and pathway analysis are determined using STRING, Cytoscape, and KEGG pathway analysis. Results Five plants and five human miRNAs show strong binding conformity with 3′UTR of BCR-ABL1. The strongest binding conformity was shown by Oryza sativa’s Osa-miR1858a and osa-miR1858b with −24.4 kcal/mol folding energy and a p value of 0.0077. Meanwhile, in human miRNA, the hsa-miR-891a-3p shows the highest miTG score of 0.99 with −12 kcal/mol folding energy and a p value of 0.037. Apart from ABL1, osa-miR1858a/osa-miR1858b and hsa-miR891a-3p also target other 720 and 645 genes, respectively. The interaction network of Osa-miR1858a/osa-miR1858b and hsa-miR891a-3p identifies nineteen and twelve ABL1’s immediate neighboring proteins, respectively. The pathways analysis focuses on the RAS, MAPK, CML, and hematopoietic cell lineage pathway. Conclusion Both plant and human miRNAs tested in this study could be a potential therapeutic prospect in CML treatment, but thermodynamically, osa-miR1858a/osa-miR1858b binding to ABL1 is more favorable. However, it is important to carry out more research in vitro and in vivo and clinical studies to assess its efficacy as a targeted therapy for CML. Graphical abstract


Author(s):  
Laura B. Oswald ◽  
Kelly A. Hyland ◽  
Sarah L. Eisel ◽  
Aasha I. Hoogland ◽  
Hans Knoop ◽  
...  

Hematology ◽  
2010 ◽  
Vol 2010 (1) ◽  
pp. 122-128 ◽  
Author(s):  
Jerald P. Radich

Abstract Chronic myeloid leukemia is a model of how the molecular understanding of a disease can provide the platform for therapy and diagnostics. Clinicians are now empowered with first- and second-generation tyrosine kinases, as well as molecular tools to monitor disease and characterize resistance. However, there are still unanswered questions regarding optimization of therapy, the utility of molecular monitoring, and the search (or need) of “cure” that bears thought. In this review, we will discuss these issues, as they provide a roadmap for what may lie ahead in the therapy of other hematologic malignancies, particular the other myeloproliferative syndromes, where specific genetic lesions, and targeted therapy, are now being realized.


Author(s):  
Kelly A Hyland ◽  
Ashley M Nelson ◽  
Sarah L Eisel ◽  
Aasha I Hoogland ◽  
Javier Ibarz-Pinilla ◽  
...  

Abstract Background Cognitive behavioral therapy for targeted-therapy related fatigue (CBT-TTF) has demonstrated preliminary efficacy in reducing fatigue in patients treated with tyrosine kinase inhibitors (TKIs) for chronic myeloid leukemia (CML). Purpose The aim of the current analyses was to explore whether fatigue perpetuating factors (disturbed sleep/wake cycle, dysregulated activity patterns, maladaptive cognitions about fatigue and cancer, insufficient processing of cancer and treatment, inadequate social support and interactions, heightened fear of cancer progression) changed over time in patients receiving CBT-TTF, and whether the effect of CBT-TTF on fatigue was mediated by these factors. Methods Secondary data analyses were conducted from a pilot randomized controlled trial. Patients with CML treated with a TKI who reported moderate to severe fatigue were randomized 2:1 to CBT-TTF delivered via FaceTime for iPad or a waitlist control condition (WLC). Self-report measures of fatigue and fatigue perpetuating factors were obtained before randomization and post-intervention (i.e., approximately 18 weeks later). Mixed model and mediation analyses using bootstrap methods were used. Results A total of 36 participants (CBT-TTF n = 22, WLC n = 14) who had baseline and 18-week follow-up data and attended >5 sessions for CBT-TTF were included. Participants randomized to CBT-TTF reported improvements in activity (mental, physical, social, p’s ≤ .023) and cognitions (helplessness, catastrophizing, focusing on symptoms, self-efficacy, p’s ≤ .003) compared to WLC. Mental activity, social activity, self-efficacy, helplessness, and focusing on symptoms, as well as sleep and insufficient processing (avoidance) mediated the relationship between treatment group and fatigue. Conclusions CBT-TTF appears to improve TKI-related fatigue in CML patients through changes in behavior (sleep, activity patterns) and cognitions about fatigue and cancer. A larger randomized controlled trial is warranted to confirm these findings.


2010 ◽  
Vol 34 (11) ◽  
pp. 1459-1471 ◽  
Author(s):  
Dong-Wook Kim ◽  
Shripad D. Banavali ◽  
Udomsak Bunworasate ◽  
Yeow-Tee Goh ◽  
Peter Ganly ◽  
...  

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