Identification of miRNAs as prognostic factors for esophageal squamous cell carcinoma

Meng Chen; Dacheng Jin; Bing Wang; Yunjiu Gou; Xinchun Dong; Meng Chen; Dacheng Jin; Bing Wang; Yunjiu Gou; Xinchun Dong

doi:10.3934/mbe.2020122

Mathematical Biosciences and Engineering

2020, Volume 17, Issue 3: 2302-2309. doi: 10.3934/mbe.2020122

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Identification of miRNAs as prognostic factors for esophageal squamous cell carcinoma

1.
Gansu University of Chinese Medicine, Lanzhou 730000, China
2.
Department of Thoracic Surgery, Gansu Provincial Hospital, No. 204 Donggang West Road, Lanzhou 730000, China

Received: 31 May 2019 Accepted: 20 November 2019 Published: 17 January 2020

ObjectiveThe prognostic value of microRNAs for esophageal squamous cell carcinoma (ESCC) is still not be well identified. MethodsThe 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. ResultsIn 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. ConclusionsThe 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.
- esophageal squamous cell carcinoma,
- microRNAs,
- prognosis,
- genes,
- tumor
Citation: Meng Chen, Dacheng Jin, Bing Wang, Yunjiu Gou, Xinchun Dong. Identification of miRNAs as prognostic factors for esophageal squamous cell carcinoma[J]. Mathematical Biosciences and Engineering, 2020, 17(3): 2302-2309. doi: 10.3934/mbe.2020122

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Abstract

ObjectiveThe prognostic value of microRNAs for esophageal squamous cell carcinoma (ESCC) is still not be well identified. MethodsThe 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. ResultsIn 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. ConclusionsThe 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.

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