Identification of miRNAs as prognostic factors for esophageal squamous cell carcinoma
| Autor: | Meng Chen, Xin Chun Dong, Yun Jiu Gou, Dacheng Jin, Bing Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
tumor
Esophageal Neoplasms Geo database 02 engineering and technology Biology medicine.disease_cause Esophageal squamous cell carcinoma Mirna expression 0502 economics and business microRNA QA1-939 0202 electrical engineering electronic engineering information engineering medicine Humans micrornas genes Gene Mutation Applied Mathematics Carcinoma 05 social sciences General Medicine Tumor tissue esophageal squamous cell carcinoma Gene Expression Regulation Neoplastic Computational Mathematics Modeling and Simulation Cancer research 020201 artificial intelligence & image processing prognosis General Agricultural and Biological Sciences TP248.13-248.65 Mathematics 050203 business & management Biotechnology |
| Zdroj: | Mathematical Biosciences and Engineering, Vol 17, Iss 3, Pp 2302-2309 (2020) |
| ISSN: | 1551-0018 |
| DOI: | 10.3934/mbe.2020122 |
| Popis: | Objective: The prognostic value of microRNAs for esophageal squamous cell carcinoma (ESCC) is still not be well identified. Methods: The microRNA expression profiles of 119 paired ESCC tissue samples and para-carcinoma tissues from GEO database under accession number of GSE43732. A mutation information based feature selection method was applied to identify the discriminative microRNAs between paired ESCC tissues and para-carcinoma tissues. Results: In para-carcinoma tissues, patients had better survival with higher has-miR-410 (log-rank p = 0.0123), has-miR-411-5p (log-rank p = 0.0152), has-miR-193b-5p (log-rank p = 0.0188) and has-miR-4486 (log-rank p = 0.0307) expression levels. When compared with para-carcinoma tissues, there has more correlations between miRNA expression levels and survival in tumor tissues. We identified 20 potential miRNAs associated with prognosis. Besides, a heatmap was draw to explore miRNA expression levels in tumor tissues and survival. Conclusions: The present study identified 24 miRNAs in 119 paired ESCC tissue samples and para-carcinoma tissues, including 4 miRNAs in para-carcinoma tissues and 20 in tumor tissues, respectively. The dysregulation of these miRNAs were associated with different outcomes. We thought this study could provide novel noninvasive early biomarkers for ESCC patients. |
| Databáze: | OpenAIRE |
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