https://www.selleckchem.com/ALK.html 4%. The Autolab GA assay also showed reliable results with within-run, between-run, and total CVs below 3.9%. The Lucica GA-L assay showed a very high correlation with the Autolab GA assay (r = 0.9993). However, at the median decision point (MDP, 14.3%), the estimated bias of the Autolab GA assay was 4.5%, exceeding the allowable bias (2.9%) accounting for the biological variation. For the correlation analysis between HbA1c and GA (%), the two assays demonstrated the same pattern, with no statistical differences between the two independent correlation coefficients. Both GA assays evaluated in this study showed good precision and excellent correlation, but the comparability at MDP did not meet the acceptance criteria. Both GA assays evaluated in this study showed good precision and excellent correlation, but the comparability at MDP did not meet the acceptance criteria. Lung cancer is the most prevalent and deadliest cancer worldwide. The present study aims to determine the prognosis value of low expression long non-coding RNAs (lncRNAs) in LUAD. RNA-seq data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) data-base. Dysregulated genes between LUAD and paracancerous tissue were screened by GeneSpringGX. Prognostic lncRNAs which were low expressed in LUAD were filtrated by Ualcan, then further verified through the TCGA database. The association between clinicopathological features and the expression level of these lncRNAs was tested by chi-square test. Cox regression analysis was performed to test independent prognosis risk factors. Diagnostic efficiency was predicted by receiver operating characteristic (ROC) analysis. Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to explore potential functions of these prognostic signatures. Nine prognostic lncRNAs (LINC00092, LIthat four lncRNAs (LINC00908, WWC2-AS2, CYP2B7P, SIGLEC17P) may