Paola D'Antona 1 , Maria Cattoni 1,2 , Lorenzo Dominioni 2 , Albino Poli 3 , Francesca Moretti 3 , Raffaella Cinquetti 1 , Elisabetta Gini 1 , Elisa Daffrè 2 , Douglas M Noonan 1,4 , Andrea Imperatori 2 , Nicola Rotolo 2 , Paola Campomenosi 5 . Show Affiliations »
Abstract
BACKGROUND: The published circulating miRNA signatures proposed for early-stage non-small cell lung cancer (NSCLC) detection are inconsistent and difficult to replicate. Reproducibility and validation of an miRNA simple signature of NSCLC are prerequisites for translation to clinical application. METHODS: The serum level of miR-223 and miR-29c, emerging from published studies, respectively, as a highly sensitive and a highly specific biomarker of early-stage NSCLC, was measured with droplet digital PCR (ddPCR) technique in an Italian cohort of 75 patients with stage I-II NSCLC and 111 tumor-free controls. By ROC curve analysis we evaluated the miR-223 and miR-29c performance in discerning NSCLC cases from healthy controls. RESULTS: Reproducibility and robust measurability of the two miRNAs using ddPCR were documented. In a training set (40 stage I-II NSCLCs and 56 controls), miR-223 and miR-29c, respectively, showed an AUC of 0.753 [95% confidence interval (CI), 0.655-0.836] and 0.632 (95% CI, 0.527-0.729) in identifying NSCLC. Combination of miR-223 with miR-29c yielded an AUC of 0.750, not improved over that of miR-223 alone. Furthermore, in an independent blind set (35 stage I-II NSCLCs and 55 controls), we validated serum miR-223 as an effective biomarker of stage I-II NSCLC (AUC = 0.808; 95% CI, 0.712-0.884), confirming the miR-223 diagnostic performance reported by others in Chinese cohorts. CONCLUSIONS: Using ddPCR technology, miR-223 was externally validated as a reproducible, effective serum biomarker of early-stage NSCLC in ethnically different subjects. Combination with miR-29c did not improve the miR-223 diagnostic performance. IMPACT: Serum miR-223 determination may be proposed as a tool for refining NSCLC risk stratification, independent of smoking habit and age. ©2019 American Association for Cancer Research.
BACKGROUND: The published circulating miRNA signatures proposed for early-stage non-small cell lung cancer (NSCLC ) detection are inconsistent and difficult to replicate. Reproducibility and validation of an miRNA simple signature of NSCLC are prerequisites for translation to clinical application. METHODS: The serum level of miR-223 and miR-29c , emerging from published studies, respectively, as a highly sensitive and a highly specific biomarker of early-stage NSCLC , was measured with droplet digital PCR (ddPCR) technique in an Italian cohort of 75 patients with stage I-II NSCLC and 111 tumor -free controls. By ROC curve analysis we evaluated the miR-223 and miR-29c performance in discerning NSCLC cases from healthy controls. RESULTS: Reproducibility and robust measurability of the two miRNAs using ddPCR were documented. In a training set (40 stage I-II NSCLCs and 56 controls), miR-223 and miR-29c , respectively, showed an AUC of 0.753 [95% confidence interval (CI), 0.655-0.836] and 0.632 (95% CI, 0.527-0.729) in identifying NSCLC . Combination of miR-223 with miR-29c yielded an AUC of 0.750, not improved over that of miR-223 alone. Furthermore, in an independent blind set (35 stage I-II NSCLCs and 55 controls), we validated serum miR-223 as an effective biomarker of stage I-II NSCLC (AUC = 0.808; 95% CI, 0.712-0.884), confirming the miR-223 diagnostic performance reported by others in Chinese cohorts. CONCLUSIONS: Using ddPCR technology, miR-223 was externally validated as a reproducible, effective serum biomarker of early-stage NSCLC in ethnically different subjects. Combination with miR-29c did not improve the miR-223 diagnostic performance. IMPACT: Serum miR-223 determination may be proposed as a tool for refining NSCLC risk stratification, independent of smoking habit and age. ©2019 American Association for Cancer Research.
Entities: Disease
Gene
Species
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Year: 2019
PMID: 31488416 DOI: 10.1158/1055-9965.EPI-19-0626
Source DB: PubMed Journal: Cancer Epidemiol Biomarkers Prev ISSN: 1055-9965 Impact factor: 4.254