The JAK2V617F mutation is a major molecular factor in Philadelphia chromosome-negative myeloproliferative neoplasms (MPNs) and has been increasingly associated with clonal progression to acute myeloid leukemia (AML), resulting in a poorer prognosis and resistance to conventional therapies. This study integrates a comprehensive literature review with bioinformatic approaches to investigate the potential inhibitory activity of Epigallocatechin Gallate (EGCG), a green tea polyphenol widely recognized for its antioxidant and anticancer properties, on the JAK2V617F mutation. Clinical data from case reports demonstrated heterogeneity in disease progression and frequent therapeutic failures. Molecular docking analysis using the Janus Kinase 2 (JAK2) protein structure (PDB ID: 6D2I) identified a high-affinity binding pocket for EGCG near the V617F mutation site. EGCG exhibited strong binding affinity (−9.2 kcal/mol), forming key interactions with residues Lys581, Ile559, and Leu680, suggesting allosteric modulation of the JH2 pseudokinase domain. To validate our docking protocol, redocking of the known inhibitor AT9283 yielded a favorable Root Mean Square Deviation (RMSD) 2.683 Å and binding energy (−8.3 kcal/mol), confirming the reliability of our approach. Notably, EGCG demonstrated superior binding affinity compared to AT9283 and targets a distinct allosteric site, highlighting its unique mechanism of action and potential as a selective allosteric inhibitor. These findings position EGCG as a promising candidate for future preclinical evaluation, offering a novel strategy to overcome therapy resistance in JAK2V617F-driven malignancies.

Acute leukemias are highly aggressive hematologic malignancies that demand intensive chemotherapy regimens. However, drug toxicity remains a major barrier to treatment success and patient survival. In this context, pharmacogenomics offers a promising strategy by identifying single-nucleotide variants (SNVs) that influence drug metabolism, efficacy, and toxicity, ultimately impacting treatment outcomes. This study analyzed data from the ClinPGx/PharmGKB database to identify clinically annotated variants related to chemotherapy response in Acute Myeloid Leukemia (AML) and Acute Lymphoblastic Leukemia (ALL). A total of 24 variants were curated for AML and 57 for ALL. Among these, nonsynonymous variants were most frequent in ALL (31.6%), while synonymous variants predominated in AML (33.3%). Although traditionally considered neutral, synonymous and intronic variants may influence gene expression through regulatory or splicing mechanisms. The analysis revealed clinically significant variants associated with chemotherapy response, particularly in the ABCB1 gene, observed in 12.5% of AML and 10.5% of ALL cases. Several variants, particularly TPMT, NUDT15, ABCC1, SLC28A3, and RARG, were associated with severe adverse effects such as myelotoxicity, mucositis, cardiotoxicity, and hepatotoxicity. This study reinforces the importance of genetic variants in modulating the therapeutic response and toxicity to chemotherapy drugs in acute leukemias. Analysis of ClinPGx/PharmGKB data emphasizes ABCB1 as a potential resistance marker and supports pre-treatment genotyping of genes like TPMT and NUDT15 to prevent severe toxicities. Future advances should include the expansion of pharmacogenetic studies in underrepresented populations and the clinical validation of new markers in prospective trials, aiming to consolidate precision medicine as a routine part of the therapeutic management of acute leukemias.

Acute myeloid leukemia (AML) is one of the most aggressive types of leukemia, represented by the clonal proliferation of hematopoietic precursors, which mainly promotes quantitative and differentiation alterations, as well as normal hematopoiesis suppression. Throughout leukemogenesis, modifications may occur in several elements that make up cellular signaling pathways; among these, AURKA, AURKB, and PLK1 are key related regulators of mitotic progression and cellular proliferation. This study investigated the hematological profile and the expression of the AURKA, AURKB, and PLK1 genes in a cohort of individuals with AML, in order to understand their roles in the pathophysiology of the disease. The analyses revealed a significant hypoexpression of AURKA in the bone marrow of AML individuals compared to the control group (p = 0.0254) and AURKB showed no significant difference in bone marrow and peripheral blood samples. It was also observed a hyperexpression of PLK1 in bone marrow (p < 0.0001) and in peripheral blood (p = 0.0144). Our results also point to PLK1 as a potential biomarker for AML, since its hyperexpression did not differ with respect to gender, risk stratification, or age of the individuals. Finally, survival analyses indicate that AURKA expression in the bone marrow is associated with a protective factor and increased survival, and that those with higher expression of the three target genes had a lower mortality rate (p = 0.043).

Background/Objectives: The PIM kinase family, comprising three serine/threonine kinase isoforms (PIM1, PIM2, and PIM3), plays a fundamental role in various cancer types, where they are frequently described as regulators of proliferation, survival, and metabolic pathways. Acute leukemia is a group of hematological malignancies characterized by the uncontrolled clonal proliferation of hematopoietic stem cells, encompassing myeloid (AML) and lymphoblastic (ALL) lineages, which together present limited therapeutic options and poor clinical outcomes. This study investigated the correlation between PIM kinase signaling pathways and the clinicopathological features, molecular pathway interactions, and cytogenetic risk stratification of patients with acute leukemia. Methods: Microarray data and clinical information from AML and ALL patients were retrieved from the Gene Expression Omnibus database. The expression levels of PIM1, PIM2, and PIM3 were assessed across leukemia subtypes and cytogenetic risk groups using ANOVA or Kruskal–Wallis tests, with Bonferroni post hoc correction, performed in R (v4.5.1). A transcriptome-wide co-expression analysis was conducted using Spearman’s rank correlation to identify genes correlated with each PIM isoform. Subsequently, Gene Set Enrichment Analysis (GSEA) was performed on pre-ranked gene lists using the clusterProfiler (v4.16.0) package and Hallmarks of Cancer gene signatures, with pathway significance determined by Benjamini–Hochberg-adjusted FDR < 0.05. Results: Transcriptomic analysis revealed distinct expression patterns of the PIM kinase family between AML and ALL subtypes, identifying PIM3 as the predominantly dysregulated isoform, marked by significant overexpression across both lineages. Risk-stratified analysis further demonstrated that PIM expression is highly context-dependent, exhibiting dynamic variation across cytogenetic risk groups. Functional enrichment analysis highlighted a potential functional redundancy and compensatory mechanisms among PIM isoforms, with enriched pathways predominantly associated with stress tolerance, hypoxia adaptation, and inflammatory signaling, rather than classical proliferative signatures. Conclusions: Collectively, these findings position the PIM kinase family as a dynamically regulated axis in acute leukemia, deeply integrated with cytogenetic risk profiles and stress-adaptation mechanisms. The consistent upregulation of PIM3 and its correlation with inflammatory and hypoxic signatures suggest a potential role in facilitating tumor survival within adverse microenvironments.

Background/Objectives: Multiple myeloma (MM) is a genetically complex hematological neoplasm driven by accumulating genomic events. Despite therapeutic advances, MM remains an incurable disease with a complex molecular picture. Characterizing copy number alterations (CNAs) represents a promising strategy to identify dysregulated biological pathways and reveal novel therapeutic targets. This study aimed to characterize the CNA profile across pre-malignant gammopathies, MM, and plasma cell leukemia, identifying the key molecular pathways involved in disease progression. Methods: Genomic analysis via array comparative genomic hybridization (aCGH) was performed on bone marrow samples from 21 patients representing all disease stages. Data were analyzed in CytoGenomics software version 5.3.0.14 utilizing the GRCh38/hg38 human genome. CNAs were identified with the ADM-2 algorithm, followed by functional enrichment analysis to determine significantly overrepresented pathways. Results: Pre-malignant evaluation suggested a potential functional switch from innate immunity and olfactory signaling in Monoclonal Gammopathy of Undetermined Significance (MGUS) to DNA repair mechanisms in Smoldering Multiple Myeloma (SMM), marking early genomic instability. In active MM, 280 CNAs were detected. Low-risk (ISS-I) patients retained cell adhesion signatures, whereas high-risk (ISS-III) profiles exhibited extensive genomic instability affecting tissue remodeling and cytokine signaling. Conclusions: In summary, our descriptive findings suggest that early alterations in immune response and olfactory signaling pathways may emerge as potential triggers driving pre-malignant dyscrasias and active MM development.