ArticleBioscience reports2020
Bioinformatics analysis and experimental validation of TTK as a biomarker for prognosis in non-small cell lung cancer.
Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Mitotic Machinery Dysregulation in Lung Cancer: Biological Roles, Therapeutic Targeting, and Combination Strategies.Pharmaceutics · 2026Review
- Article
- Prognostic model of hepatocellular carcinoma based on cancer grade.World journal of clinical cases · 2023Article
- MOCSS: Multi-omics data clustering and cancer subtyping via shared and specific representation learning.iScience · 2023Article
- Integrated multi-omics analyses and functional validation reveal TTK as a novel EMT activator for endometrial cancer.Journal of translational medicine · 2023Article
- Ethnic and racial-specific differences in levels of centrosome-associated mitotic kinases, proliferative and epithelial-to-mesenchymal markers in breast cancers.Cell division · 2022Article
- Network Pharmacology and Comparative Transcriptome Reveals Biotargets and Mechanisms of Curcumol Treating Lung Adenocarcinoma Patients With COVID-19.Frontiers in nutrition · 2022Article
- Comprehensive analysis of the prognostic value and immune implications of the TTK gene in lung adenocarcinoma: a meta-analysis and bioinformatics analysis.Animal cells and systems · 2022Article
- Single-cell RNA sequencing in human lung cancer: Applications, challenges, and pathway towards personalized therapy.Journal of the Chinese Medical Association : JCMA · 2021Review
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the prominent development of medical technology in recent years, the prognosis of non-small cell lung cancer (NSCLC) is still not optimistic. It is crucial to identify more reliable diagnostic biomarkers for the early diagnosis and personalized therapy of NSCLC and clarify the molecular mechanisms underlying NSCLC progression.
methodsIn the present study, bioinformatics analysis was performed on three datasets obtained from the Gene Expression Omnibus to identify the NSCLC-associated differentially expressed genes (DEGs). Immunohistochemistry-based tissue microarray of human NSCLC was used to experimental validating the potential targets obtained from bioinformatics analysis.
resultsBy using protein-protein interaction (PPI) network analysis, Kaplan-Meier plotter, and Gene Expression Profiling Interactive Analysis, we selected 40 core DEGs for further study. Then, a re-analysis of 40 selected genes via Kyoto Encyclopedia of Genes and Genomes pathway enrichment showed that nine key genes involved in the cell cycle and p53 signaling pathway participated in the development of NSCLC. Then, we checked the protein level of nine key genes by semi-quantitative of IHC and checked the distribution at a single-cell level. Finally, we validated dual-specificity protein kinase TTK as a biomarker for prognosis in a tissue microarray. High TTK expression associated with a higher histological stage, advanced TNM stage, high frequency of positive lymph nodes, and worse 5-year overall survival.
conclusionsWe found nine key genes were enriched in the cell cycle and p53 signaling pathway. TTK could be considered as a potential therapeutic target and for the prognosis biomarker of NSCLC. These findings will provide new insights for the development of individualized therapeutic targets for NSCLC.
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