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Mitochondrial cholesterol metabolism related gene model predicts prognosis and treatment response in hepatocellular carcinoma.
Transl Cancer Res
December 2024
Department of Biomedical Engineering, School of Life Sciences, Guangxi Medical University, Nanning, China.
Background: The persistently high mortality and morbidity rates of hepatocellular carcinoma (HCC) remain a global concern. Notably, the disruptions in mitochondrial cholesterol metabolism (MCM) play a pivotal role in the progression and development of HCC, underscoring the significance of this metabolic pathway in the disease's etiology. The purpose of this research was to investigate genes associated with MCM and develop a model for predicting the prognostic features of patients with HCC.
View Article and Find Full Text PDFExpression and purification of E140 protein antigen fragments of Plasmodium vivax and Plasmodium berghei for serological assays.
FEBS Open Bio
January 2025
Synthetic and Systems Biology Unit, Institute of Biochemistry, HUN-REN Biological Research Centre, Szeged, Hungary.
Malaria, a life-threatening disease caused by Plasmodium parasites, continues to pose a significant global health threat, with nearly 250 million infections and over 600 000 deaths reported annually by the WHO. Fighting malaria is particularly challenging partly due to the complex life cycle of the parasite. However, technological breakthroughs such as the development of the nucleoside-modified mRNA lipid nanoparticle (mRNA-LNP) vaccine platform, along with the discovery of novel conserved Plasmodium antigens such as the E140 protein, present new opportunities in malaria prevention.
View Article and Find Full Text PDFALC-0315 Lipid-Based mRNA LNP Induces Stronger Cellular Immune Responses Postvaccination.
Mol Pharm
January 2025
Ningbo No.2 Hospital, Ningbo, Zhejiang 315010, P. R. China.
At the end of 2019, SARS-CoV-2 emerged and rapidly spread, having a profound negative impact on human health and socioeconomic conditions. In response to this unprecedented global health crisis, significant advancements were made in the mRNA vaccine technology. In this study, we have compared the difference between two SARS-CoV-2 receptor-binding domain (RBD) mRNA-Lipid nanoparticle (LNP) vaccines prepared from two different ionizable cationic lipids: ALC-0315 and MC3.
View Article and Find Full Text PDFThe multifaceted roles of aldolase A in cancer: glycolysis, cytoskeleton, translation and beyond.
Hum Cell
January 2025
Institute of Translational Medicine, Medical College, Yangzhou University, No. 136 Jiangyangzhonglu, Yangzhou, 225009, Jiangsu, China.
Cancer, a complicated disease characterized by aberrant cellular metabolism, has emerged as a formidable global health challenge. Since the discovery of abnormal aldolase A (ALDOA) expression in liver cancer for the first time, its overexpression has been identified in numerous cancers, including colorectal cancer (CRC), breast cancer (BC), cervical adenocarcinoma (CAC), non-small cell lung cancer (NSCLC), gastric cancer (GC), hepatocellular carcinoma (HCC), pancreatic cancer adenocarcinoma (PDAC), and clear cell renal cell carcinoma (ccRCC). Moreover, ALDOA overexpression promotes cancer cell proliferation, invasion, migration, and drug resistance, and is closely related to poor prognosis of patients with cancer.
View Article and Find Full Text PDFInvestigating combined hypoxia and stemness indices for prognostic transcripts in gastric cancer: Machine learning and network analysis approaches.
Biochem Biophys Rep
March 2025
Department of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Introduction: Gastric cancer (GC) is among the deadliest malignancies globally, characterized by hypoxia-driven pathways that promote cancer progression, including stemness mechanisms facilitating invasion and metastasis. This study aimed to develop a prognostic decision tree using genes implicated in hypoxia and stemness pathways to predict outcomes in GC patients.
Materials And Methods: GC RNA-seq data from The Cancer Genome Atlas (TCGA) were analyzed to compute hypoxia and stemness scores using Gene Set Variation Analysis (GSVA) and the mRNA expression-based stemness index (mRNAsi).
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