Disease Score gda Association Type Type Original DB Sentence supporting the association PMID PMID Year
CUI: C0684249
Disease: Carcinoma of lung
Carcinoma of lung
0.060 Biomarker disease BEFREE Herein, we develop an isothermal miRNA detection platform based on the highly efficient, multiple primer-mediated rolling circle amplification method coupled with a graphene oxide-based fluorescence (MPRCA-GO) assay, using lung cancer-associated miRNAs (miR-21 and miR-210) and a reference miRNA (miR-16) as model targets. 31123738 2019
CUI: C0684249
Disease: Carcinoma of lung
Carcinoma of lung
0.060 Biomarker disease BEFREE miR-16-5p can protect LPS-induced A549 cell injury, and its mechanism may be related to the targeted regulation of CXCR3, which could provide a new target for targeted therapy of lung cancer. 30957556 2019
CUI: C0684249
Disease: Carcinoma of lung
Carcinoma of lung
0.060 AlteredExpression disease BEFREE Correlation between smoking exposure and miR-16 levels could provide novel clues regarding the formation of a tumor-proficient milieu during the early phases of lung cancer development. 29558956 2018
CUI: C0684249
Disease: Carcinoma of lung
Carcinoma of lung
0.060 AlteredExpression disease BEFREE Expression levels of miR-19b, miR-126, miR-25, miR-205, and miR-125b have been evaluated by quantitative reverse transcription PCR versus control miR-16 in blood plasma samples from 23 lung cancer (LC) patients. 26986825 2016
CUI: C0684249
Disease: Carcinoma of lung
Carcinoma of lung
0.060 Biomarker disease BEFREE Our results indicated that though miR-17 and miR-16 had no common target, both miR-16 and miR-17 jointly played roles in the development of paclitaxel resistance in lung cancer. miR-17 overexpression reduced cytoprotective autophagy by targeting Beclin-1, whereas overexpression of miR-16 potentiated paclitaxel induced apoptotic cell death by inhibiting anti-apoptotic protein Bcl-2. 25435430 2015
CUI: C0684249
Disease: Carcinoma of lung
Carcinoma of lung
0.060 AlteredExpression disease BEFREE Consistent with the bioinformatic analyses, we identified an inverse correlation between the miR-16 and FEAT protein levels in lung cancer, breast cancer, and hepatocellular cancer tissues. 26031775 2015