Eithar Mohamed
Identification of biomarkers for the early detection of non-small cell lung cancer: a systematic review and meta-analysis
Mohamed, Eithar; García Martínez, Daniel J.; Hosseini, Mohammad Salar; Yoong, Si Qi; Fletcher, Daniel; Hart, Simon; Guinn, Barbara Ann
Authors
Daniel J. García Martínez
Mohammad Salar Hosseini
Si Qi Yoong
Daniel Fletcher
Professor Simon Hart S.Hart@hull.ac.uk
Professor in Respiratory Medicine
Dr Barbara Guinn B.Guinn@hull.ac.uk
Reader in Biomedical Sciences
Abstract
Lung cancer (LC) causes few symptoms in the earliest stages, leading to one of the highest mortality rates among cancers. Low-dose computerised tomography (LDCT) is used to screen high-risk individuals, reducing the mortality rate by 20%. However, LDCT results in a high number of false positives and is associated with unnecessary follow-up and cost. Biomarkers with high sensitivities and specificities could assist in the early detection of LC, especially in patients with high-risk features. Carcinoembryonic antigen (CEA), cytokeratin 19 fragments and cancer antigen 125 have been found to be highly expressed during the later stages of LC but have low sensitivity in the earliest stages. We determined the best biomarkers for the early diagnosis of LC, using a systematic review of eight databases. We identified 98 articles that focussed on the identification and assessment of diagnostic biomarkers and achieved a pooled area under curve of 0.85 (95% CI 0.82–0.088), indicating that the diagnostic performance of these biomarkers when combined was excellent. Of the studies, 30 focussed on single/antigen panels, 22 on autoantibodies, 31 on miRNA and RNA panels, and 15 suggested the use of circulating DNA combined with CEA or neuron-specific enolase (NSE) for early LC detection. Verification of blood biomarkers with high sensitivities (Ciz1, exoGCC2, ITGA2B), high specificities (CYFR21-1, antiHE4, OPNV) or both (HSP90α, CEA) along with miR-15b and miR-27b/miR-21 from sputum may improve early LC detection. Further assessment is needed using appropriate sample sizes, control groups that include patients with non-malignant conditions, and standardised cut-off levels for each biomarker.
Citation
Mohamed, E., García Martínez, D. J., Hosseini, M. S., Yoong, S. Q., Fletcher, D., Hart, S., & Guinn, B. A. (2024). Identification of biomarkers for the early detection of non-small cell lung cancer: a systematic review and meta-analysis. Carcinogenesis, 45(1-2), Article bgad091. https://doi.org/10.1093/carcin/bgad091
Journal Article Type | Review |
---|---|
Acceptance Date | Nov 30, 2023 |
Online Publication Date | Dec 8, 2023 |
Publication Date | 2024 |
Deposit Date | Dec 8, 2023 |
Publicly Available Date | Dec 9, 2024 |
Journal | Carcinogenesis |
Print ISSN | 0143-3334 |
Electronic ISSN | 1460-2180 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 45 |
Issue | 1-2 |
Article Number | bgad091 |
DOI | https://doi.org/10.1093/carcin/bgad091 |
Keywords | Non-small cell lung cancer (NSCLC); Blood/serum/plasma biomarkers; Early diagnosis; Systematic literature review |
Public URL | https://hull-repository.worktribe.com/output/4468216 |
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Copyright Statement
© The Author(s) 2023. This is a pre-copyedited, author-produced version of an article accepted for publication in Carcinogenesis following peer review. The version of record, Eithar Mohamed, Daniel J García Martínez, Mohammad-Salar Hosseini, Si Qi Yoong, Simon Hart, Barbara-ann Guinn, Identification of biomarkers for the early detection of non-small cell lung cancer: a systematic review and meta-analysis, Carcinogenesis, 2023;, bgad091, is available online at: https://doi.org/10.1093/carcin/bgad091.
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