ArticleFrontiers in immunology2024
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Single-cell transcriptomics and machine-learning reveal M1 macrophage-driven progression from minimal change disease to focal segmental glomerulosclerosis.Renal failure · 2026Article
- LIG1 Loss in TP53-mutant Triple Negative Breast Cancer Rewires DNA Repair and Confers Sensitivity to PARP-ATR Inhibitor Combinations.Molecular cancer therapeutics · 2026Article
- Cation homeostasis-related prognostic genes uncovered by transcriptomic analysis in breast cancer.Translational cancer research · 2026Article
- Article
- Gut-Metabolome-Proteome Interactions in Age-Related Hearing Loss: Insights from Fecal Microbiota Transplantation and Multi-Omics Analyses.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Systematic investigation of the potential multi-target pharmacological mechanisms of Astragaloside IV in polycystic ovary syndrome via network pharmacology and in vivo/in vitro experiments.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Prognostic impact of the lymph node yield on survival in patients with stage I lung adenocarcinoma receiving sublobar resection.Frontiers in molecular biosciences · 2026Article
- A case analysis of Gitelman syndrome complicated with Sjögren's disease.Frontiers in medicine · 2026Article
- LIG1 overexpression enhances DNA repair and immune escape leading to poor prognosis in osteosarcoma.European journal of medical research · 2025Article
- Single cell RNA sequencing decodes cellular heterogeneity and identifies prognostic immune signatures in bladder cancer microenvironment.Discover oncology · 2025Article
- Cellular senescence in cancer: from mechanism paradoxes to precision therapeutics.Molecular cancer · 2025Review
- Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer.Scientific reports · 2025Article
- Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification.Discover oncology · 2025Review
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bladder cancer, a highly fatal disease, poses a significant threat to patients. Positioned at 19q13.2-13.3, LIG1, one of the four DNA ligases in mammalian cells, is frequently deleted in tumour cells of diverse origins. Despite this, the precise involvement of LIG1 in BLCA remains elusive. This pioneering investigation delves into the uncharted territory of LIG1's impact on BLCA. Our primary objective is to elucidate the intricate interplay between LIG1 and BLCA, alongside exploring its correlation with various clinicopathological factors. Methods: We retrieved gene expression data of para-carcinoma tissues and bladder cancer (BLCA) from the GEO repository. Single-cell sequencing data were processed using the "Seurat" package. Differential expression analysis was then performed with the "Limma" package. The construction of scale-free gene co-expression networks was achieved using the "WGCNA" package. Subsequently, a Venn diagram was utilized to extract genes from the positively correlated modules identified by WGCNA and intersect them with differentially expressed genes (DEGs), isolating the overlapping genes. The "STRINGdb" package was employed to establish the protein-protein interaction (PPI) network.Hub genes were identified through the PPI network using the Betweenness Centrality (BC) algorithm. We conducted KEGG and GO enrichment analyses to uncover the regulatory mechanisms and biological functions associated with the hub genes. A machine-learning diagnostic model was established using the R package "mlr3verse." Mutation profiles between the LIG1^high and LIG1^low groups were visualized using the BEST website. Survival analyses within the LIG1^high and LIG1^low groups were performed using the BEST website and the GENT2 website. Finally, a series of functional experiments were executed to validate the functional role of LIG1 in BLCA. Results: Our investigation revealed an upregulation of LIG1 in BLCA specimens, with heightened LIG1 levels correlating with unfavorable overall survival outcomes. Functional enrichment analysis of hub genes, as evidenced by GO and KEGG enrichment analyses, highlighted LIG1's involvement in critical function such as the DNA replication, cellular senescence, cell cycle and the p53 signalling pathway. Notably, the mutational landscape of BLCA varied significantly between LIG1 Conclusions: Our research demonstrates that LIG1 plays a crucial role in promoting bladder cancer malignant progression by heightening proliferation, invasion, EMT, and other key functions, thereby serving as a potential risk biomarker.
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