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A safe haven for cancer cells: tumor plus stroma control by DYRK1B.
Oncogene
January 2025
Department of Gastroenterology, Endocrinology and Metabolism, Center for Tumor and Immune Biology, Philipps University Marburg, Marburg, Germany.
The development of resistance remains one of the biggest challenges in clinical cancer patient care and it comprises all treatment modalities from chemotherapy to targeted or immune therapy. In solid malignancies, drug resistance is the result of adaptive processes occurring in cancer cells or the surrounding tumor microenvironment (TME). Future therapy attempts will therefore benefit from targeting both, tumor and stroma compartments and drug targets which affect both sides will be highly appreciated.
View Article and Find Full Text PDFGenetic association of lipid-lowering drug target genes with pancreatic cancer: a Mendelian randomization study.
Sci Rep
January 2025
Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan, 250012, China.
Previous studies have found that dyslipidemia is a risk factor for pancreatic cancer (PC), and that lipid-lowering drugs may reduce the risk of PC. However, it is not clear whether dyslipidemia causes PC. The Mendelian randomization (MR) study aimed to investigate the causal role of lipid traits in pancreatic cancer and to assess the potential impact of lipid-lowering drug targets on pancreatic cancer.
View Article and Find Full Text PDFIntegrated Analysis of Bulk RNA Sequencing, eQTL, GWAS, and Single-Cell RNA Sequencing Reveals Key Genes in Hepatocellular Carcinoma.
J Cell Mol Med
January 2025
Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Hepatocellular carcinoma (HCC) poses a continual therapeutic challenge owing to its elevated incidence and unfavourable prognosis, underscoring the critical need for the discovery of new molecular targets for detection and therapy. This work included the analysis of three publically accessible HCC datasets from TCGA and GEO. Instrumental variables (IVs) were derived via expression quantitative trait loci (eQTL) analysis, then followed by two-sample Mendelian randomisation (MR) analysis utilising publically available summary statistics.
View Article and Find Full Text PDFIntegrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study.
Front Pharmacol
January 2025
Department of General Surgery, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Background: Pancreatic cancer remains one of the deadliest malignancies, largely due to its late diagnosis and lack of effective therapeutic targets.
Materials And Methods: Using traditional machine learning methods, including random-effects meta-analysis and forward-search optimization, we developed a robust signature validated across 14 publicly available datasets, achieving a summary AUC of 0.99 in training datasets and 0.
Downregulation of N6-Methyladenosine (m6A) Methylation of Sema4D mRNA Contributes to Treg Dysfunction and Allograft Rejection.
Am J Transplant
January 2025
Department of Gastrointestinal Surgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China; Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Chengdu, Sichuan Province, China. Electronic address:
Regulatory T cells (Tregs) has been shown to be involved in the induction of transplantation tolerance in numerous models. Our previous work demonstrated that METTL14 loss impaired Treg function and hindered the establishment of transplantation tolerance. However, the underlying mechanisms remain unclear.
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