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Background: Malnutrition is a nutritional disorder observed in 52% of patients with head and neck cancer (HNC). Malnutrition is frequently related to the increased level of proinflammatory cytokines. In turn, ongoing inflammation is associated with increased catabolism of skeletal muscle and lipolysis. Tumor necrosis factor α (TNF-α) is a proinflammatory cytokine that plays a pivotal role in the development of malnutrition and cachexia in cancer patients. The aim of the study was to assess the relationship between a functional single-nucleotide polymorphism (SNP) −610 T > G (rs4149570) of the TNFRSF1A gene and the occurrence of nutritional disorders in patients subjected to RT due to HNC. Methods: The study group consisted of 77 patients with HNC treated at the Oncology Department of the Medical University in Lublin. Genotyping of the TNFRSF1A gene was performed using capillary electrophoresis (Genetic Analyzer 3500). Results: Multivariable analysis revealed that the TT genotype of the TNFRSF1A gene (−610 T > G) was an independent predictor of severe malnutrition (odds ratio—OR = 5.05; p = 0.0350). Moreover, the TT genotype of this gene was independently related to a higher risk of critical weight loss (CWL) (OR = 24.85; p = 0.0009). Conclusions: SNP (−610 T > G) of the TNFRSF1A may be a useful marker in the assessment of the risk of nutritional deficiencies in HNC patients treated with intensity-modulated radiotherapy (IMRT).
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http://dx.doi.org/10.3390/cancers14143407 | DOI Listing |
Front Genet
August 2025
Qingdao Agricultural University, Qingdao, China.
Introduction: Identifying genetic markers associated with economically important traits in dairy goats helps enhance breeding efficiency, thereby increasing industry value. However, the potential genetic structure of key economic traits in dairy goats is still largely unknown.
Methods: This study used three genome-wide association study (GWAS) models (GLM, MLM, FarmCPU) to analyze dairy goat milk production traits (milk yield, fat percentage, protein percentage, lactose percentage, ash percentage, total dry matter, and somatic cell count).
Front Immunol
September 2025
Department of Pathophysiology, School of Basic Medical Science, Xinjiang Medical University, Urumqi, Xinjiang, China.
Objective: Diabetes mellitus combined with nonalcoholic fatty liver disease is a prevalent and intricate metabolic disorder that presents a significant global health challenge, imposing economic and emotional burdens on society and families. An in-depth understanding of the disease pathogenesis is crucial for enhancing diagnostic and therapeutic efficacy. Therefore, the study aims to identify and validate autophagy-related diagnostic biomarkers associated with T2DM-associated MAFLD, investigate regulatory mechanisms in disease progression, and explore cellular diversity within the same tissue using single-cell sequencing data.
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August 2025
The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, China.
Melanoma immunotherapy urgently requires approaches that can accurately predict drug responses to minimize unnecessary treatments. Deep learning models have emerged as powerful tools in this domain due to their robust predictive capabilities. Integrating functional characteristics with expression data from mRNA transcripts shows promise for enhancing prediction accuracy.
View Article and Find Full Text PDFMedicina (Kaunas)
July 2025
Department of Biochemistry, Faculty of Pharmacy, Sivas Cumhuriyet University, 58140 Siva, Turkey.
: A thorough comprehension of the essential molecules and related processes underlying the carcinogenesis, proliferation, and recurrence of acute myeloid leukemia (AML) is crucial. This study aimed to investigate the expression levels, diagnostic and prognostic significance and biological roles of Bcl-2-associated athanogene 4 (BAG4) in AML carcinogenesis. : Gene expression profiles were analyzed using publicly available datasets, particularly GSE9476 and TCGA, using tools such as GEO2R, GEPIA2, UALCAN and TIMER2.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Anatomy and Neurobiology, Xiangya School of Basic Medical Sciences, Central South University, Changsha, 410013, China.
Oxidative stress (OS) plays an important role in trabecular meshwork (TM) dysfunction in glaucoma, but its molecular mechanism remains unclear. We integrated the GSE27276 dataset and OS-related gene sets from GeneCards to screen 61 differentially expressed OS-related genes (DEOSGs). Functional enrichment analysis revealed that these genes are primarily involved in inflammatory and OS-related signaling pathways, including IL-17, TNF, and NF-κB.
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