A serum microRNA signature for enhanced selection of people for lung cancer screening

Abbreviations AUC area under the receiver operating characteristic curve CI confidence interval LASSO least absolute shrinkage and selection operator LC lung cancer LCRAT Lung Cancer Risk Assessment Tool LLP Liverpool Lung Project Risk Model LLPi Liverpool Lung Project Incidence Risk Model miRNA mic...

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Bibliographic Details
Published in:Cancer communications (London, England) England), 2022-11, Vol.42 (11), p.1222-1225
Main Authors: Yu, Haixin, Raut, Janhavi R., Bhardwaj, Megha, Zhang, Yan, Sandner, Evelin, Schöttker, Ben, Holleczek, Bernd, Schrotz‐King, Petra, Brenner, Hermann
Format: Article
Language:English
Subjects:
Confidence intervals
Cost analysis
Letter to the Editor
Letters to the Editor
Literature reviews
Lung cancer
Medical screening
MicroRNAs
Optimism
Ovarian cancer
Polymerase chain reaction
Prostate
Risk assessment
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Summary:Abbreviations AUC area under the receiver operating characteristic curve CI confidence interval LASSO least absolute shrinkage and selection operator LC lung cancer LCRAT Lung Cancer Risk Assessment Tool LLP Liverpool Lung Project Risk Model LLPi Liverpool Lung Project Incidence Risk Model miRNA microRNA miR-score microRNA risk score NGS next-generation sequencing n number OR odds ratio PLCOM2012 Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Model 2012 qRT-PCR quantitative real-time polymerase chain reaction Dear editor, Lung cancer (LC) is the leading cause of cancer-related mortality globally [ 1]. Risk stratification for LC screening, which is mostly based on smoking history [ 5], is far from perfect [ 6]. [...]additional criteria to better define those at highest risk of LC are needed to enhance the efficiency and cost-effectiveness of LC screening. Besides risk prediction models incorporating classical LC risk factors [ 7], blood-based biomarkers such as microRNAs (miRNAs) have emerged as potential candidates to improve LC risk prediction [ 8]. [...]we derived and validated a miRNA signature that substantially improved LC risk prediction when combined with pack-years or risk factor-based LC risk models. [...]the miRNA signature could potentially enhance LC risk stratification and might be useful for identifying high-risk populations for LC screening.
ISSN:2523-3548
2523-3548
DOI:10.1002/cac2.12346