ArticleMedicine2019
CALD1, CNN1, and TAGLN identified as potential prognostic molecular markers of bladder cancer by bioinformatics analysis.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 42 citations in OpenAlex.
- A molecular landscape tracking the progression of non-muscle invasive bladder cancer.World journal of urology · 2026Review
- A GRK5 centered prognostic framework for bladder cancer based on palmitoylation and epigenetic regulation.Discover oncology · 2025Article
- Article
- Comprehensive analysis of single-cell and bulk transcriptomes reveals key B-cell genes and immune microenvironment regulation in bladder cancer.Frontiers in immunology · 2025Article
- Upregulation of CALD1 predicted a poor prognosis for platinum-treated ovarian cancer and revealed it as a potential therapeutic resistance target.BMC genomics · 2024Article
- The Role of H2-Calponin Antigen in Cancer Metastasis: Presence of Autoantibodies in Liver Cancer Patients.International journal of molecular sciences · 2023Article
- Chronic Obstructive Pulmonary Disease: Novel Genes Detection with Penalized Logistic Regression.Cell journal · 2023Article
- Role of anoikis-related gene PLK1 in kidney renal papillary cell carcinoma: a bioinformatics analysis and preliminary verification on promoting proliferation and migration.Frontiers in pharmacology · 2023Article
- Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database.Advanced biomedical research · 2023Article
- Identification of the hub genes associated with prostate cancer tumorigenesis.Frontiers in oncology · 2023Article
- Potential prognostic and immunotherapeutic value of calponin 1: A pan-cancer analysis.Frontiers in pharmacology · 2023Article
- Polygenic risk modeling of tumor stage and survival in bladder cancer.BioData mining · 2022Article
- Emerging role of caldesmon in cancer: A potential biomarker for colorectal cancer and other cancers.World journal of gastrointestinal oncology · 2022Review
- Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer.Journal of clinical laboratory analysis · 2022Article
- Identification of hub genes and pathways in bladder cancer using bioinformatics analysis.American journal of clinical and experimental urology · 2022Article
- CNN1 Represses Bladder Cancer Progression and Metabolic Reprogramming by Modulating HIF-1α Signaling Pathway.Frontiers in oncology · 2022Article
- LINC00337 promotes tumor angiogenesis in colorectal cancer by recruiting DNMT1, which suppresses the expression of CNN1.Cancer gene therapy · 2021Article
- Multi-omics reveals novel prognostic implication of SRC protein expression in bladder cancer and its correlation with immunotherapy response.Annals of medicine · 2021Article
- CALD1 promotes the expression of PD-L1 in bladder cancer via the JAK/STAT signaling pathway.Annals of translational medicine · 2021Article
- DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.Genome medicine · 2021Article
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBladder cancer (BC) is one of the most common malignant neoplasms in the genitourinary tract. We employed the GSE13507 data set from the Gene Expression Omnibus (GEO) database in order to identify key genes related to tumorigenesis, progression, and prognosis in BC patients.
methodsThe data set used in this study included 10 normal bladder mucosae tissue samples and 165 primary BC tissue samples. Differentially expressed genes (DEGs) in the 2 types of samples were identified by GEO2R. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the online website DAVID. The online website STRING was used to construct a protein-protein interaction network. Moreover, the plugins in MCODE and cytoHubba in Cytoscape were employed to find the hub genes and modules in these DEGs.
resultsWe identified 154 DEGs comprising 135 downregulated genes and 19 upregulated genes. The GO enrichment results were mainly related to the contractile fiber part, extracellular region part, actin cytoskeleton, and extracellular region. The KEGG pathway enrichment results mainly comprised type I diabetes mellitus, asthma, systemic lupus erythematosus, and allograft rejection. A module was identified from the protein-protein interaction network. In total, 15 hub genes were selected and 3 of them comprising CALD1, CNN1, and TAGLN were associated with both overall survival and disease-free survival.
conclusionCALD1, CNN1, and TAGLN may be potential biomarkers for diagnosis as well as therapeutic targets in BC patients.
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