ArticleJournal of cardiothoracic surgery2021
Integrated transcriptomics explored the cancer-promoting genes CDKN3 in esophageal squamous cell cancer.
Article in Journal of cardiothoracic surgery, 2021. 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, 12 citations in OpenAlex.
- An estrogen receptor/E2F1/CDKN3 axis protects from UV-induced skin cancers in females.EMBO reports · 2026Article
- Identification of CDKN3 overexpression as a marker of poor prognosis and potential therapeutic target in low-grade glioma.Scientific reports · 2025Article
- Article
- Newly Established Anoikis-Associated Genes Predict the Prognosis of Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2025Article
- Characterization of breast cancer tumors in older patients who show de novo resistance to endocrine therapy.Scientific reports · 2024Article
- The role of Cyclin Dependent Kinase Inhibitor 3 (Heliyon · 2024Review
- Multi-Omics Data Analysis Identifies Prognostic Biomarkers across Cancers.Medical sciences (Basel, Switzerland) · 2023Article
- Identification of Potential Biomarkers Using Integrative Approach: A Case Study of ESCC.SN computer science · 2023Article
- CDKN3 Overcomes Bladder Cancer Cisplatin Resistance via LDHA-Dependent Glycolysis Reprogramming.OncoTargets and therapy · 2022Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectivesEach individual studies is limited to multi-factors and potentially lead to a significant difference of results among them. The present study aim to explore the critical genes related to the development of Esophageal squamous cell carcinoma (ESCC) by integrated transcriptomics and to investigate the clinical significance by experimental validation.
methodsDatasets of protein-coding genes expression which involved in ESCC were downloaded from Gene Expression Omnibus (GEO) database. The "Robustrankaggreg" package in language was used for data integration, and the different expression genes (DEGs) were identified based the cut-off criteria as follows: adjust p-value < 0.05, |fold change (FC)| ≥ 1.5; The protein expression of seed gene in 184 cases of primary ESCC tissues and 50 tumor adjacent normal tissues (at least 5 cm away from the tumor, and defind as the controls) were detected by immunohistochemistry; The relationship between the expression level of seed genes and clinical parameter were analyze. Enumeration data were represented by frequency or percentage (%) and were tested by x
resultsA total of 244 DEGs were identified by comparing gene expression patterns between ESCC patients and the controls based on integrating dataset of GSE77861, GSE77861, GSE100942, GSE26886, GSE17351, GSE38129, GSE33426, GSE20347 and GSE23400; The Cyclin-dependent kinase inhibitor 3 (CDKN3) were identified the top 1 seed gene of top cluster by use of protein-protein Interaction network and plug-in Molecular Complex Detection; The level of CDKN3 mRNA was significantly increased in ESCC patients compared to controls; The positive expression rate of CDKN3 protein in ESCC tissue samples was 32 and 61.4% in control, respectively. The correlations between the expression level of CDKN3 and lymph node metastasis or clinical staging of ESCC patients are statistically significant.
conclusionIntegrated transcriptomics is an efficient approach to system biology. By this procedure, our study improved the understanding of the transcriptome status of ESCC.
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