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miR-122 and miR-21 are Stable Components of miRNA Signatures of Early Lung Cancer after Validation in Three Independent Cohorts.
Zyla, Joanna; Dziadziuszko, Rafal; Marczyk, Michal; Sitkiewicz, Magdalena; Szczepanowska, Magdalena; Bottoni, Edoardo; Veronesi, Giulia; Rzyman, Witold; Polanska, Joanna; Widlak, Piotr.
Afiliação
  • Zyla J; Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland.
  • Dziadziuszko R; Medical University of Gdansk, Gdansk, Poland.
  • Marczyk M; Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland; Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut.
  • Sitkiewicz M; Medical University of Gdansk, Gdansk, Poland.
  • Szczepanowska M; Medical University of Gdansk, Gdansk, Poland.
  • Bottoni E; Humanitas Research Hospital, Milan, Italy.
  • Veronesi G; School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy; Department of Thoracic Surgery, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Rzyman W; Medical University of Gdansk, Gdansk, Poland.
  • Polanska J; Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland. Electronic address: joanna.polanska@polsl.pl.
  • Widlak P; Medical University of Gdansk, Gdansk, Poland. Electronic address: piotr.widlak@gumed.edu.pl.
J Mol Diagn ; 26(1): 37-48, 2024 Jan.
Article em En | MEDLINE | ID: mdl-37865291
ABSTRACT
Several panels of circulating miRNAs have been reported as potential biomarkers of early lung cancer, yet the overlap of components between different panels is limited, and the universality of proposed biomarkers has been minimal across proposed panels. To assess the stability of the diagnostic potential of plasma miRNA signature of early lung cancer among different cohorts, a panel of 24 miRNAs tested in the frame of one lung cancer screening study (MOLTEST-2013, Poland) was validated with material collected in the frame of two other screening studies (MOLTEST-BIS, Poland; and SMAC, Italy) using the same standardized analytical platform (the miRCURY LNA miRNA PCR assay). On analysis of selected miRNAs, two associated with lung cancer development, miR-122 and miR-21, repetitively differentiated healthy participants from individuals with lung cancer. Additionally, miR-144 differentiated controls from cases specifically in subcohorts with adenocarcinoma. Other tested miRNAs did not overlap in the three cohorts. Classification models based on neither a single miRNA nor multicomponent miRNA panels (24-mer and 7-mer) showed classification performance sufficient for a standalone diagnostic biomarker (AUC, 75%, 71%, and 53% in MOLTEST-2013, SMAC, and MOLTEST-BIS, respectively, in the 7-mer model). The performance of classification in the MOLTEST-BIS cohort with the lowest contribution of adenocarcinomas was increased when only this cancer type was considered (AUC, 60% in 7-mer model).
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adenocarcinoma / MicroRNAs / Neoplasias Pulmonares Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adenocarcinoma / MicroRNAs / Neoplasias Pulmonares Idioma: En Ano de publicação: 2024 Tipo de documento: Article