Serum miR-223: A Validated Biomarker for Detection of Early-Stage Non-Small Cell Lung Cancer.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 30 05 2019
revised: 15 07 2019
accepted: 23 08 2019
pubmed: 7 9 2019
medline: 22 9 2020
entrez: 7 9 2019
Statut: ppublish

Résumé

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. 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. 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. 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. Serum miR-223 determination may be proposed as a tool for refining NSCLC risk stratification, independent of smoking habit and age.

Sections du résumé

BACKGROUND 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 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 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 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 CONCLUSIONS
Serum miR-223 determination may be proposed as a tool for refining NSCLC risk stratification, independent of smoking habit and age.

Identifiants

pubmed: 31488416
pii: 1055-9965.EPI-19-0626
doi: 10.1158/1055-9965.EPI-19-0626
doi:

Substances chimiques

Biomarkers, Tumor 0
MIRN223 microRNA, human 0
MicroRNAs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1926-1933

Informations de copyright

©2019 American Association for Cancer Research.

Auteurs

Paola D'Antona (P)

Department of Biotechnology and Life Sciences, DBSV, University of Insubria, Varese, Italy.

Maria Cattoni (M)

Department of Biotechnology and Life Sciences, DBSV, University of Insubria, Varese, Italy.
Department of Medicine and Surgery, DMS, Center for Thoracic Surgery, University of Insubria, Varese, Italy.

Lorenzo Dominioni (L)

Department of Medicine and Surgery, DMS, Center for Thoracic Surgery, University of Insubria, Varese, Italy.

Albino Poli (A)

Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Francesca Moretti (F)

Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Raffaella Cinquetti (R)

Department of Biotechnology and Life Sciences, DBSV, University of Insubria, Varese, Italy.

Elisabetta Gini (E)

Department of Biotechnology and Life Sciences, DBSV, University of Insubria, Varese, Italy.

Elisa Daffrè (E)

Department of Medicine and Surgery, DMS, Center for Thoracic Surgery, University of Insubria, Varese, Italy.

Douglas M Noonan (DM)

Department of Biotechnology and Life Sciences, DBSV, University of Insubria, Varese, Italy.
Scientific and Technological Pole, IRCCS MultiMedica, Milan, Italy.

Andrea Imperatori (A)

Department of Medicine and Surgery, DMS, Center for Thoracic Surgery, University of Insubria, Varese, Italy.

Nicola Rotolo (N)

Department of Medicine and Surgery, DMS, Center for Thoracic Surgery, University of Insubria, Varese, Italy.

Paola Campomenosi (P)

Department of Biotechnology and Life Sciences, DBSV, University of Insubria, Varese, Italy. paola.campomenosi@uninsubria.it.

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