Reference genes are used as internal reaction controls for gene expression analysis, and for this reason, they are considered reliable and must meet several important criteria. In view of the absence of studies regarding the best reference gene for the analysis of acute leukemia patients, a panel of genes commonly used as endogenous controls was selected from the literature for stability analysis: Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), Abelson murine leukemia viral oncogene human homolog 1 (ABL), Hypoxanthine phosphoribosyl-transferase 1 (HPRT1), Ribosomal protein lateral stalk subunit P0 (RPLP0), β-actin (ACTB) and TATA box binding protein (TBP). The stability of candidate reference genes was analyzed according to three statistical methods of assessment, namely, NormFinder, GeNorm and R software (version 4.0.3). From this study’s analysis, it was possible to identify that the endogenous set composed of ACTB, ABL, TBP and RPLP0 demonstrated good performances and stable expressions between the analyzed groups. In addition to that, the GAPDH and HPRT genes could not be classified as good reference genes, considering that they presented a high standard deviation and great variability between groups, indicating low stability. Given these findings, this study suggests the main endogenous gene set for use as a control/reference for the gene expression in peripheral blood and bone marrow samples from patients with acute leukemias is composed of the ACTB, ABL, TBP and RPLP0 genes. Researchers may choose two to three of these housekeeping genes to perform data normalization.

Acute Lymphoblastic Leukemia (ALL) is a neoplasm of the hematopoietic system defined as a clonal expansion of an abnormal lymphoid precursor cell. It mostly affects children under five years of age and is the most common tumor to afflict pediatric patients. The expression of the human telomerase gene (hTERT) in patients with ALL has been studied as a biomarker and could become a new therapeutic target. We evaluate the role of hTERT gene expression in ALL pediatric patients, through quantitative real-time PCR technique, and the possible correlation between hTERT expression and clinical variables: gender, age, white blood cells (WBC), gene fusions, and immunophenotyping. The analysis between healthy controls and ALL patients (N = 244) was statistically significant (p < 0.001), demonstrating hTERT overexpression in these patients. In comparison with the usual set of clinical variables, the data were not statistically significant (p > 0.05), indicating that hTERT is equally overexpressed among patients regardless of gender, age, gene fusions, and immunophenotyping. Moreover, patients who presented a higher hTERT expression level had a significant (p < 0.0001) lower overall survival rate. In summary, hTERT expression emerges as an important molecular pathway in leukemogenesis regardless patient’s clinical variables, thus, the data here presented pointed it as a valuable biomarker in pediatric acute lymphoblastic leukemia and a promising target for new therapeutic and prognostic measures.

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.

Circadian rhythms (CRs) are a key biological system regulating physiological processes such as metabolism, cell growth, DNA repair, and immunity, adapting to environmental changes like the light/dark cycle. Governed by internal clocks, it modulates gene expression through feedback loops involving Clock Genes (CGs), with the cycle initiated by CLOCK–BMAL1 and NPAS2–BMAL1 heterodimers. Disruptions in circadian rhythms have been linked to diseases including metabolic disorders, neurodegeneration, and cancer. CIPC (CLOCK-interacting pacemaker) has been studied as a negative regulator of the CLOCK–BMAL1 complex, focusing on its role in cancer, particularly leukemias. Public datasets and bioinformatics tools were used to examine CIPC gene expression in healthy patients and acute myeloid leukemia (AML) samples. Our analysis revealed significant overexpression of CIPC in AML compared to healthy tissues (p < 0.0001 ****). Additionally, survival analysis indicated significant differences in overall survival based on CIPC expression, with a log-rank test p-value = 0.014, suggesting that CIPC expression may affect overall patient survival. Altered CIPC expression may contribute to leukemogenesis by inhibiting circadian genes, which are often disrupted in leukemia. Furthermore, CIPC interacts with oncogenic pathways, including the MAPK/ERK pathway, which is essential for cell proliferation. Additional studies are needed to validate these findings and explore the detailed role of CIPC in cancer development.

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.

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.