SLC25A1-associated prognostic signature predicts poor survival in acute myeloid leukemia patients

The Role of Mitochondrial Solute Carriers SLC25 in Cancer Metabolic Reprogramming: Current Insights and Future Perspectives

Cancer cells undergo remarkable metabolic changes to meet their high energetic and biosynthetic demands. The Warburg effect is the most well-characterized metabolic alteration, driving cancer cells to catabolize glucose through aerobic glycolysis to promote proliferation. Another prominent metabolic hallmark of cancer cells is their increased reliance on glutamine to replenish tricarboxylic acid (TCA) cycle intermediates essential for ATP production, aspartate and fatty acid synthesis, and maintaining redox homeostasis. In this context, mitochondria, which are primarily used to maintain energy homeostasis and support balanced biosynthesis in normal cells, become central organelles for fulfilling the heightened biosynthetic and energetic demands of proliferating cancer cells. Mitochondrial coordination and metabolite exchange with other cellular compartments are crucial. The human SLC25 mitochondrial carrier family, comprising 53 members, plays a pivotal role in transporting TCA intermediates, amino acids, vitamins, nucleotides, and cofactors across the inner mitochondrial membrane, thereby facilitating this cross-talk. Numerous studies have demonstrated that mitochondrial carriers are altered in cancer cells, actively contributing to tumorigenesis. This review comprehensively discusses the role of SLC25 carriers in cancer pathogenesis and metabolic reprogramming based on current experimental evidence. It also highlights the research gaps that need to be addressed in future studies. Understanding the involvement of these carriers in tumorigenesis may provide valuable novel targets for drug development.

High expression of EBP is an adverse prognostic factor for de novo acute myeloid leukemia

BACKGROUND

Acute myeloid leukemia (AML) is a heterogeneous disease, for which identifying reliable prognostic markers is critical for accurate clinical prognosis and treatment optimization. The inhibition of emopamil-binding protein gene (EBP) expression has been demonstrated to induce cancer cell death via depleting downstream sterols. Nevertheless, no comprehensive studies have been conducted specifically in tumors, including AML.

METHOD

Herein, survival analyses were performed on the dataset obtained from The Cancer Genome Atlas (TCGA). Besides, the EBP levels were quantified using real-time qPCR in a cohort of 120 AML patients, and the value of EBP was further assessed using our clinical data.

RESULTS

Patients with high EBP expression had worse overall survival (OS) and event-free survival (EFS) than patients with low EBP expression, both in the TCGA dataset and our clinical data. Additionally, white blood cell (WBC) counts were higher in patients with high EBP expression (P = 0.032). Moreover, in patients with intermediate-risk AML, it was discovered that elevated EBP expression was linked to a worse EFS (P = 0.038). Multivariate analysis demonstrated that high EBP expression was an independent prognostic factor in AML patients and was associated with a shorter OS and EFS (OS: P = 0.041; EFS: P = 0.017). Furthermore, the data revealed that transplantation in the high-EBP group led to an improvement in survival (OS: P = 0.001; EFS: P = 0.001). The same benefit was also observed in intermediate-risk AML patients (OS: P = 0.026; EFS: P = 0.026).

CONCLUSION

Collectively, our findings indicated that high expression of EBP in AML patients was an adverse prognostic factor, but transplantation had the otential to alleviate its negative effects.

In-depth analysis of de novo lipogenesis in non-alcoholic fatty liver disease: Mechanism and pharmacological interventions

Non-alcoholic fatty liver disease (NAFLD) is characterized by the abnormal buildup of lipids in the liver tissue. Non-alcoholic fatty liver (NAFL) may progress to non-alcoholic steatohepatitis. Triglycerides in the liver can originate from various sources, including de novo lipogenesis (DNL). Research indicates that DNL significantly escalates in NAFLD, worsening steatosis. However, the precise regulatory mechanism of DNL in the development of this disease is not fully understood. Therefore, the targeted reduction of DNL could be a crucial therapeutic strategy. Currently, numerous pharmaceutical agents targeting DNL have been developed, attracting significant attention. This review examines the mechanism of DNL upregulation in NAFLD, assessing its potential as a therapeutic target for hepatic steatosis. Furthermore, we thoroughly examine hepatocellular lipotoxicity and provide an extensive review of the application and limitations of relevant therapeutic drugs, with a focus on key enzymes involved in DNL. The implementation of these pharmacological strategies is expected to significantly improve the management and overall outcomes for patients with NAFLD.

Construction of an acute myeloid leukemia prognostic model based on m6A-related efferocytosis-related genes

Background

One of the most prevalent hematological system cancers is acute myeloid leukemia (AML). Efferocytosis-related genes (ERGs) and N6-methyladenosine (m6A) have an important significance in the progression of cancer, and the metastasis of tumors.

Methods

The AML-related data were collected from The Cancer Genome Atlas (TCGA; TCGA-AML) database and Gene Expression Omnibus (GEO; GSE9476, GSE71014, and GSE13159) database. The "limma" R package and Venn diagram were adopted to identify differentially expressed ERGs (DE-ERGs). The m6A related-DE-ERGs were obtained by Spearman analysis. Subsequently, univariate Cox and Least Absolute Shrinkage and Selection Operator (LASSO) were used to construct an m6A related-ERGs risk signature for AML patients. The possibility of immunotherapy for AML was explored. The pRRophetic package was adopted to calculate the IC50 of drugs for the treatment of AML. Finally, the expression of characterized genes was validated by quantitative reverse transcription-PCR (qRT-PCR).

Results

Based on m6A related-DE-ERGs, a prognostic model with four characteristic genes (UCP2, DOCK1, SLC14A1, and SLC25A1) was constructed. The risk score of model was significantly associated with the immune microenvironment of AML, with four immune cell types, 14 immune checkpoints, 20 HLA family genes and, immunophenoscore (IPS) all showing differences between the high- and low-risk groups. A total of 56 drugs were predicted to differ between the two groups, of which Erlotinib, Dasatinib, BI.2536, and bortezomib have been reported to be associated with AML treatment. The qRT-PCR results showed that the expression trends of DOCK1, SLC14A1 and SLC25A1 were consistent with the bioinformatics analysis.

Conclusion

In summary, 4 m6A related- ERGs were identified and the corresponding prognostic model was constructed for AML patients. This prognostic model effectively stratified the risk of AML patients.