JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2020, Vol. 40 ›› Issue (12): 1598-1606.doi: 10.3969/j.issn.1674-8115.2020.12.005

• Original article (Basic research) • Previous Articles     Next Articles

Transcriptional identification of potential biomarkers of lung adenocarcinoma

ZHANG Wei-ran1, 2, LIN Xue-feng3, LI Xin2, ZHANG Hao2, WANG Meng2, SUN Wei2, HAN Xing-peng2, SUN Da-qiang1, 4   

  1. 1.Graduate School, Tianjin Medical University, Tianjin 300070, China; 2.Department of Thoracic Surgery, Tianjin Chest Hospital, Tianjin 300222, China; 3.Department of Nursing, Tianjin Medical College, Tianjin 300222, China; 4.Department of Thoracic Surgery, Tianjin Hospital of ITCWM, Nankai Hospital, Tianjin 300100, China
  • Online:2020-12-28 Published:2021-02-02
  • Supported by:
    Science and Technology Project of Tianjin Jinnan District (201805006); Key Science and Technology Support Project of Tianjin Science and Technology Commission (17YFZCSY00850).

Abstract: Objective · To identify some related molecular markers for the diagnosis and treatment of lung adenocarcinoma by transcriptome analysis. Methods · The differentially expressed analyses were performed to identify the differentially expressed genes (DEGs), the differentially expressed miRNAs (DEMs), and the differentially expressed circRNAs (DECs). Functional and pathway enrichment analyses were conducted for DEGs, and the targets prediction for DEMs. Regulated network of the DEGs and DEMs was constructed, and some candidates were selected. The biomarkers obtained were verified by the Cancer Genome Atlas (TCGA) database and the qRT-PCR, and the correlation between their expression levels and overall survival and tumor stage were analyzed. Results · Sixty-one overlaps were contained in the 3 sets of DEGs in 3 gene expression profiles, which were enriched in 32 gene ontology (GO) terms and 10 pathways. Twenty-four DEMs were identified, and 612 miRNA-target pairs were screened out that the target genes were DEGs. In the circRNA microarray, 92 DECs were obtained. ADRA1A, hsa-miR-141-5p and hsa-miR-191-3p were important nodes in the network. TCGA and qRT-PCR results were consistent with the microarray analysis results, in addition, hsa-miR-191-3p was significantly correlated with tumor stage. Conclusion · ADRA1A, hsa-miR-141-5p, hsa-miR-191-3p, SFTPC, ITLN2 and SLC6A4 might be potential biomarkers of lung adenocarcinoma, and hsa-miR-191-3p might be associated with tumor progression.

Key words: lung adenocarcinoma, transcriptome analysis, bioinformatics analysis, potential biomarker

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