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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

Eithar Mohamed

Daniel J. García Martínez

Mohammad Salar Hosseini

Si Qi Yoong

Daniel Fletcher



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