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Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination

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 lu...

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Autores principales: Liu, Zhong, Zhang, Feng, Jiang, Jianwen, Zhao, Chenzhao, Zhu, Lu, Liu, Chenbing, Li, Nan, Qiu, Lihong, Shen, Chao, Sheng, Di, Zeng, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110964/
https://www.ncbi.nlm.nih.gov/pubmed/37081975
http://dx.doi.org/10.3389/fonc.2023.1166894
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author Liu, Zhong
Zhang, Feng
Jiang, Jianwen
Zhao, Chenzhao
Zhu, Lu
Liu, Chenbing
Li, Nan
Qiu, Lihong
Shen, Chao
Sheng, Di
Zeng, Qiang
author_facet Liu, Zhong
Zhang, Feng
Jiang, Jianwen
Zhao, Chenzhao
Zhu, Lu
Liu, Chenbing
Li, Nan
Qiu, Lihong
Shen, Chao
Sheng, Di
Zeng, Qiang
author_sort Liu, Zhong
collection PubMed
description 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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spelling pubmed-101109642023-04-19 Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination Liu, Zhong Zhang, Feng Jiang, Jianwen Zhao, Chenzhao Zhu, Lu Liu, Chenbing Li, Nan Qiu, Lihong Shen, Chao Sheng, Di Zeng, Qiang Front Oncol Oncology 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. Frontiers Media S.A. 2023-04-04 /pmc/articles/PMC10110964/ /pubmed/37081975 http://dx.doi.org/10.3389/fonc.2023.1166894 Text en Copyright © 2023 Liu, Zhang, Jiang, Zhao, Zhu, Liu, Li, Qiu, Shen, Sheng and Zeng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Liu, Zhong
Zhang, Feng
Jiang, Jianwen
Zhao, Chenzhao
Zhu, Lu
Liu, Chenbing
Li, Nan
Qiu, Lihong
Shen, Chao
Sheng, Di
Zeng, Qiang
Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination
title Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination
title_full Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination
title_fullStr Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination
title_full_unstemmed Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination
title_short Early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination
title_sort early detection of lung cancer in a real-world cohort via tumor-associated immune autoantibody and imaging combination
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110964/
https://www.ncbi.nlm.nih.gov/pubmed/37081975
http://dx.doi.org/10.3389/fonc.2023.1166894
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