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Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer
With the discovery of many tumor markers, there are new strategies for the early diagnosis and treatment of lung cancer and the prediction of prognosis. We examined the multi-protein markers panel (4MP, consisting of Pro-SFTPB, CA125, Cyfra21-1, and CEA) diagnosis performance in differentiating beni...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355209/ https://www.ncbi.nlm.nih.gov/pubmed/37476198 http://dx.doi.org/10.7150/jca.85846 |
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author | Yao, Lige Li, Yanli Wang, Qin Chen, Tian Li, Jiayin Wang, Yingjie Zhang, Liuyan Su, Li Li, Lanqing Lou, Qinqin Li, Fang Zhao, Jiali Gao, Junli Gao, Junshun Li, Huiqin |
author_facet | Yao, Lige Li, Yanli Wang, Qin Chen, Tian Li, Jiayin Wang, Yingjie Zhang, Liuyan Su, Li Li, Lanqing Lou, Qinqin Li, Fang Zhao, Jiali Gao, Junli Gao, Junshun Li, Huiqin |
author_sort | Yao, Lige |
collection | PubMed |
description | With the discovery of many tumor markers, there are new strategies for the early diagnosis and treatment of lung cancer and the prediction of prognosis. We examined the multi-protein markers panel (4MP, consisting of Pro-SFTPB, CA125, Cyfra21-1, and CEA) diagnosis performance in differentiating benign and malignant lung diseases and identifying pathological types of lung cancer. Meantime, the complementary performance of three conventional tumor markers (NSE, SCC, and Pro-GRP) for 4MP was assessed. A total of 294 patients with lung cancer or benign lung disease are contained in this study. The AUCs of 4MP and 7MP (NSE, SCC, Pro-GRP, and 4MP) in distinguishing benign lung disease and lung cancer were 0.808 and 0.832, respectively. In distinguishing SQCLC and SCLC, the AUCs were 0.716 and 0.985, respectively. In distinguishing LADC and SCLC, the AUCs were 0.849 and 0.998, respectively. This study demonstrated that 4MP can distinguish lung cancer from benign disease. Traditional biomarkers NSE, SCC, and Pro-GRP can significantly improve the performance of 4MP in the differentiation of LADC, SQCLC, and SCLC, which is expected to contribute to the accurate diagnosis and personalized treatment of patients. |
format | Online Article Text |
id | pubmed-10355209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-103552092023-07-20 Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer Yao, Lige Li, Yanli Wang, Qin Chen, Tian Li, Jiayin Wang, Yingjie Zhang, Liuyan Su, Li Li, Lanqing Lou, Qinqin Li, Fang Zhao, Jiali Gao, Junli Gao, Junshun Li, Huiqin J Cancer Research Paper With the discovery of many tumor markers, there are new strategies for the early diagnosis and treatment of lung cancer and the prediction of prognosis. We examined the multi-protein markers panel (4MP, consisting of Pro-SFTPB, CA125, Cyfra21-1, and CEA) diagnosis performance in differentiating benign and malignant lung diseases and identifying pathological types of lung cancer. Meantime, the complementary performance of three conventional tumor markers (NSE, SCC, and Pro-GRP) for 4MP was assessed. A total of 294 patients with lung cancer or benign lung disease are contained in this study. The AUCs of 4MP and 7MP (NSE, SCC, Pro-GRP, and 4MP) in distinguishing benign lung disease and lung cancer were 0.808 and 0.832, respectively. In distinguishing SQCLC and SCLC, the AUCs were 0.716 and 0.985, respectively. In distinguishing LADC and SCLC, the AUCs were 0.849 and 0.998, respectively. This study demonstrated that 4MP can distinguish lung cancer from benign disease. Traditional biomarkers NSE, SCC, and Pro-GRP can significantly improve the performance of 4MP in the differentiation of LADC, SQCLC, and SCLC, which is expected to contribute to the accurate diagnosis and personalized treatment of patients. Ivyspring International Publisher 2023-06-26 /pmc/articles/PMC10355209/ /pubmed/37476198 http://dx.doi.org/10.7150/jca.85846 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Yao, Lige Li, Yanli Wang, Qin Chen, Tian Li, Jiayin Wang, Yingjie Zhang, Liuyan Su, Li Li, Lanqing Lou, Qinqin Li, Fang Zhao, Jiali Gao, Junli Gao, Junshun Li, Huiqin Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer |
title | Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer |
title_full | Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer |
title_fullStr | Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer |
title_full_unstemmed | Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer |
title_short | Multi-Biomarkers Panel in Identifying Benign and Malignant Lung Diseases and Pathological Types of Lung Cancer |
title_sort | multi-biomarkers panel in identifying benign and malignant lung diseases and pathological types of lung cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355209/ https://www.ncbi.nlm.nih.gov/pubmed/37476198 http://dx.doi.org/10.7150/jca.85846 |
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