Diagnostic value of PPAR delta and miRNA-17 expression levels in patients with non-small cell lung cancer

SCIENTIFIC REPORTS(2021)

引用 5|浏览16
暂无评分
摘要
The PPAR delta gene codes protein that belongs to the peroxisome proliferator-activated receptor (PPAR) family engaged in a variety of biological processes, including carcinogenesis. Specific biological and clinical roles of PPAR delta in non-small cell lung cancer (NSCLC) is not fully explained. The association of PPAR alpha with miRNA regulators (e.g. miRNA-17) has been documented, suggesting the existence of a functional relationship of all PPARs with epigenetic regulation. The aim of the study was to determine the PPAR delta and miR-17 expression profiles in NSCLC and to assess their diagnostic value in lung carcinogenesis. PPAR delta and miR-17 expressions was assessed by qPCR in NSCLC tissue samples (n = 26) and corresponding macroscopically unchanged lung tissue samples adjacent to the primary lesions served as control (n = 26). PPAR delta and miR-17 expression were significantly lower in NSCLC than in the control (p = 0.0001 and p = 0.0178; respectively). A receiver operating characteristic (ROC) curve analysis demonstrated the diagnostic potential in discriminating NSCLC from the control with an area under the curve (AUC) of 0.914 for PPAR delta and 0.692 for miR-17. Significant increase in PPAR delta expression in the control for current smokers vs. former smokers (p = 0.0200) and increase in miR-17 expression in control tissue adjacent to adenocarcinoma subtype (p = 0.0422) were observed. Overexpression of miR-17 was observed at an early stage of lung carcinogenesis, which may suggest that it acts as a putative oncomiR. PPAR delta and miR-17 may be markers differentiating tumour tissue from surgical margin and miR-17 may have diagnostic role in NSCLC histotypes differentiation.
更多
查看译文
关键词
Biomarkers,Cancer,Genetics,Medical research,Molecular biology,Science,Humanities and Social Sciences,multidisciplinary
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要