ArticleFrontiers in oncology2023
Early detection of lung cancer in a real-world cohort
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.
- Autoantibodies in cancer: a systematic review of their clinical role in the most prevalent cancers.Frontiers in immunology · 2024Pooled it
- B cells in cancer: functions, mechanisms and therapeutic advances.Signal transduction and targeted therapy · 2026Review
- Liquid biopsy: current applications and future directions.Molecular biomedicine · 2026Review
- Rethinking biomarker strategy in gastric cancer immunotherapy: from tumor to host.Frontiers in immunology · 2026Review
- Tumor antigen-associated autoantibodies: generation mechanisms, roles in tumorigenesis and progression, and clinical application prospects.Frontiers in immunology · 2026Review
- Article
- Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.Frontiers in immunology · 2025Article
- The role of seven tumor-associated autoantibodies in the diagnosis, staging and treatment guidance of lung cancer.BMC pulmonary medicine · 2024Article
- Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.Frontiers in public health · 2024Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Efficient early detection methods for lung cancer can significantly decrease patient mortality. One promising approach is the use of tumor-associated autoantibodies (TAABs) as a diagnostic tool. In this study, the researchers aimed to evaluate the potential of seven TAABs in detecting lung cancer within a population undergoing routine health examinations. The results of this study could provide valuable insights into the utility of TAABs for lung cancer screening and diagnosis. Methods: In this study, the serum concentrations of specific antibodies were measured using enzyme-linked immunosorbent assay (ELISA) in a cohort of 15,430 subjects. The efficacy of both a 7-TAAB panel and LDCT for lung cancer detection were evaluated through receiver operating characteristic (ROC) analyses, with sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) being assessed and compared. These results could have significant implications for the development of improved screening methods for lung cancer. Results: Over the 12-month observation period, 26 individuals were diagnosed with lung cancer. The 7-TAAB panel demonstrated promising sensitivity (61.5%) and a high degree of specificity (88.5%). The panel's area under the receiver operating characteristic (ROC) curve was 0.8062, which was superior to that of any individual TAAB. In stage I patients, the sensitivity of the panel was 50%. In our cohort, there was no gender or age bias observed. This 7-TAAB panel showed a sensitivity of approximately 60% in detecting lung cancer, regardless of histological subtype or lesion size. Notably, ground-glass nodules had a higher diagnostic rate than solid nodules (83.3% vs. 36.4%, P = 0.021). The ROC analyses further revealed that the combination of LDCT with the 7-TAAB assay exhibited a significantly superior diagnostic efficacy than LDCT alone. Conclusion: In the context of the study, it was demonstrated that the 7-TAAB panel showed improved detective efficacy of LDCT, thus serving as an effective aid for the detection of lung cancer in real-world scenarios.
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