Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Lymphotoxin beta receptor (LTBR) is a positive T cell proliferation regulator gene. It is closely associated with the tumor immune microenvironment. However, its role in cancer and immunotherapy is unclear. Firstly, the expression level and prognostic value of LTBR were analyzed. Secondly, the expression of LTBR in clinical stages, immune subtypes, and molecular subtypes was analyzed. The correlation between LTBR and immune regulatory genes, immune checkpoint genes, and RNA modification genes was then analyzed. Correlations between LTBR and immune cells, scores, cancer-related functional status, tumor stemness index, mismatch repair (MMR) genes, and DNA methyltransferase were also analyzed. In addition, we analyzed the role of LTBR in DNA methylation, mutational status, tumor mutation burden (TMB), and microsatellite instability (MSI). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the role of LTBR in pan-cancer. Finally, the drugs associated with LTBR were analyzed. The expression of LTBR was confirmed using quantitative real-time PCR and Western blot. LTBR is significantly overexpressed in most cancers and is associated with low patient survival. In addition, LTBR expression was strongly correlated with immune cells, score, cancer-related functional status, tumor stemness index, MMR genes, DNA methyltransferase, DNA methylation, mutational status, TMB, and MSI. Enrichment analysis revealed that LTBR was associated with apoptosis, necroptosis, and immune-related pathways. Finally, multiple drugs targeting LTBR were identified. LTBR is overexpressed in several tumors and is associated with a poor prognosis. It is related to immune-related genes and immune cell infiltration.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10817409 | PMC |
| http://dx.doi.org/10.18632/aging.205356 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key contributors to JIA risk prediction.
RMD Open
July 2025
Liggins Institute, The University of Auckland, Auckland, New Zealand
Background: Previous genome-wide association studies (GWAS) have identified numerous genetic loci associated with juvenile idiopathic arthritis (JIA). However, the functional impact of these variants-particularly on tissue-specific gene expression-and which regulatory interactions make the greatest relative contribution to JIA risk remain unclear. Identifying these key single-nucleotide polymorphism (SNP)-gene-tissue combinations can help prioritise targets for future functional studies and therapeutic interventions.
View Article and Find Full Text PDFTranscriptomic analysis reveals novel targets in benign schwannoma using machine learning.
Neuroscience
August 2025
Department of Neurosurgery, Third Hospital of Hebei Medical University, Shijiazhuang 050051, China. Electronic address:
Background & Objective: This study aimed to identify key immune-related biomarkers of benign schwannoma through machine learning-assisted transcriptomic and single-cell analyses, and to construct a predictive model for disease evaluation.
Methods: Transcriptomic data from the GSE108524 dataset were utilized for immune subtyping and immune cell infiltration analysis. Key biomarkers were screened using the Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), and Random Forest algorithms.
Anatomic Consideration of the Medial Cuts for Lateral Temporal Bone Resection: Cadaveric Study.
J Craniofac Surg
June 2025
Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University.
Two widely used en bloc resection techniques for external auditory canal malignancies are lateral temporal bone resection (LTBR) and subtotal temporal bone resection (STBR). STBR is a surgical procedure that requires a skull base team, whereas LTBR is a widely practiced procedure worldwide that can be completed as an otological procedure. In LTBR, the external auditory canal is removed en bloc with basic otological techniques, including mastoidectomy and extended posterior tympanotomy.
View Article and Find Full Text PDFN-glycosylated LTβR increases the Th17/Treg cell ratio in liver cancer by blocking RORC ubiquitination and FOXP3 transcription.
Cell Death Dis
May 2025
Department of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
LTβR-overexpressing CAR-T cells have demonstrated surprising effectiveness against solid tumors, exhibiting strong anti-exhaustion and proliferation capabilities. However, the role of LTβR in CD4 T cell differentiation and anti-tumor activity remains unclear. In this study, we employed primary or subcutaneous mouse hepatocellular carcinoma (HCC) models and flow cytometry to study the impact of conditional knock-in of Ltbr on CD4 T cell differentiation and response, particularly the Th17/Treg cell ratio, and its influence on HCC progression.
View Article and Find Full Text PDFIdentification of therapeutic targets for neonatal respiratory distress: A systematic druggable genome-wide Mendelian randomization.
Medicine (Baltimore)
May 2025
Department of Neonatal Intensive Care Center (NICU), Henan Provincial Key Medicine Laboratory of Nursing, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Currently, there remains a significant gap in effective pharmacologic interventions for neonatal respiratory distress syndrome (NRDS). To address this critical unmet medical need, we aimed to systematically identify novel therapeutic targets and preventive strategies through comprehensive integration and analysis of multiple publicly accessible datasets. In this study, we employed an integrative approach combining druggable genome data, cis-expression quantitative trait loci (cis-eQTL) from human blood and lung tissues, and genome-wide association study summary statistics for neonatal respiratory distress.
View Article and Find Full Text PDF