New insights into PSAT1 as a therapeutic target for myelodysplastic syndrome (MDS).

The metabolomic landscape in myelodysplastic syndrome (MDS) is highly deregulated and presents promising avenues for understanding disease pathogenesis and potential molecular dependencies. Here, we evaluated the transcriptomic landscape in MDS in multiple independent studies focusing more on metabolomics pathways. Identifying molecular dependencies will pave the way for a more precise disease stratification as well as the development of novel personalized treatment strategies. The study adopted a retrospective, cross-sectional approach, utilizing transcriptomic data from multiple MDS studies. The transcriptomic data were then subjected to comprehensive analyses, including differential gene expression, gene enrichment analysis, gene co-expression analysis, protein-protein interaction analyses, and survival analyses. PSAT1 showed a significant upregulation profile in MDS patients. This observed upregulation is correlated with the deregulation of immune-related pathways in MDS samples. This observation suggests a novel role for PSAT1 in immune modulation and potentially in augmenting immune evasion, which may lead to poor prognosis. This was evident in other tumors in the TCGA database, where cancer patients with high PSAT1 expression have a shorter overall survival. This study unveils a novel potential therapeutic avenue in MDS. Identifying the role of the PSAT1 gene sheds light on the disease's intricate biology, highlighting the ongoing cross-talk between metabolism and immune regulation, which may pave the way for innovative treatment modalities.

Whole-Exome Sequencing Detecting a Recurrent Pathogenic Mutation, HFE p.His63Asp (H63D) in COVID-19 Patients and Its Effect on Mortality.

BACKGROUND: In recent years, various coronaviruses have caused severe respiratory illnesses worldwide. For example the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections of COVID-19 outbreak in 2019 in Wuhan, China. Genome-wide association studies (GWAS) have significantly expanded our comprehension of how specific genetic variations are linked to diseases. Research has demonstrated the existence of genetic factors influencing susceptibility to coronaviruses. The objective of this study was to examine the association of certain loci with the COVID-19 in Saudi population. METHODS: In the present study we have examined the link between the COVID-19 disease and certain genetic variants in hospitalized COVID-19 patients (n = 16) in Tabuk and Bisha, Kingdom Saudi Arabia. We used the genome Analysis Toolkit (GATK) and Comprehensive variant annotation was performed different databases and tools such as Search Tool for the Retrieval of Interacting Genes (STRING), PanelApp and PolyPhen-2. RESULTS: The study showed that the genetic variants associated with genes such as Homeostatic Iron Regulator (HFE) (found in 7 patients, representing 44%), complement factor H (CFH) (6 patients, 38%), cadherin 23 (CDH23) (4 patients, 25%), cytotoxic T-lymphocyte associated protein 4 (CTLA-4) (3 patients, 19%), Transforming Growth Factor Beta 1 (TGFB1) (3 patients, 19%), CREB-binding protein (CREBBP) (2 patients, 13%), E1A Binding Protein P300 (EP300) (2 patients, 13%), hemoglobin subunit beta (HBB) (2 patients, 13%), interferon regulatory factor 7 (IRF7) (2 patients, 13%), and unc-119 lipid binding chaperone (UNC119) (2 patients, 13%) might be associated with susceptibility to coronavirus. We also identified mutations in the COVID-19 patient that are pathogenic or likely pathogenic. CONCLUSION: A recurrent pathogenic mutation, HFE p.His63Asp (H63D), was identified in 7 patients, suggesting its potential contribution to disease severity. Additionally, a likely pathogenic variant, HBB p.Glu7Val (E7V), was present in 2 patients, highlighting its potential role in disease susceptibility. Our results shed light on the key genetic mechanisms of COVID-19 pathogenesis and help to identify and stratify the individuals or populations that are at risk to corona virus infection. The identification of susceptible individuals or populations assist in prevention and/or in treatment programs.

Genome-scale clustered regularly interspaced short palindromic repeats screen identifies nucleotide metabolism as an actionable therapeutic vulnerability in diffuse large B-cell lymphoma.

Diffuse large B-cell lymphoma (DLBCL) is the most common malignancy that develops in patients with ataxia-telangiectasia, a cancer-predisposing inherited syndrome characterized by inactivating germline ATM mutations. ATM is also frequently mutated in sporadic DLBCL. To investigate lymphomagenic mechanisms and lymphoma-specific dependencies underlying defective ATM, we applied ribonucleic acid (RNA)-seq and genome-scale loss-offunction clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 screens to systematically interrogate B-cell lymphomas arising in a novel murine model (Atm-/-nu-/-) with constitutional Atm loss, thymic aplasia but residual T-cell populations. Atm-/-nu-/-lymphomas, which phenotypically resemble either activated B-cell-like or germinal center Bcell-like DLBCL, harbor a complex karyotype, and are characterized by MYC pathway activation. In Atm-/-nu-/-lymphomas, we discovered nucleotide biosynthesis as a MYCdependent cellular vulnerability that can be targeted through the synergistic nucleotidedepleting actions of mycophenolate mofetil (MMF) and the WEE1 inhibitor, adavosertib (AZD1775). The latter is mediated through a synthetically lethal interaction between RRM2 suppression and MYC dysregulation that results in replication stress overload in Atm-/-nu-/-lymphoma cells. Validation in cell line models of human DLBCL confirmed the broad applicability of nucleotide depletion as a therapeutic strategy for MYC-driven DLBCL independent of ATM mutation status. Our findings extend current understanding of lymphomagenic mechanisms underpinning ATM loss and highlight nucleotide metabolism as a targetable therapeutic vulnerability in MYC-driven DLBCL.

Antiapoptotic Gene Genotype and Allele Variations and the Risk of Lymphoma.

BACKGROUND: The findings of earlier investigations of antiapoptotic gene genotypes and allele variants on lymphoma risk are ambiguous. This study aimed to examine the relationship between the mutation in the antiapoptotic genes and lymphoma risk among Saudi patients. METHODS: This case-control study included 205 patients, 100 of whom had lymphoma (cases) and 105 who were healthy volunteers (controls). We used tetra amplification refractory mutation polymerase chain reaction (PCR) to identify antiapoptotic genes such as B-cell lymphoma-2 (BCL2-938 C > A), MCL1-rs9803935 T > G, and survivin (BIRC5-rs17882312 G > C and BIRC5-rs9904341 G > C). Allelic-specific PCR was used to identify alleles such as BIRC5-C, MCL1-G, and BIRC5-G. RESULTS: The dominant inheritance model among cases showed that mutations in all four antiapoptotic genes were more likely to be associated with the risk of lymphoma by the odds of 2.0-, 1.98-, 3.90-, and 3.29-fold, respectively, compared to controls. Apart from the BCL-2-A allele, all three specified alleles were more likely to be associated with lymphoma by the odds of 2.04-, 1.65-, and 2.11-fold, respectively. CONCLUSION: Unlike healthy individuals, lymphoma patients are more likely to have antiapoptotic gene genotypes and allele variants, apart from BCL-2-A alterations. In the future, these findings could be used to classify and identify patients at risk of lymphoma.