Lack of Efficacy of Combined Carbohydrate Antigen Markers for Lung Cancer Diagnosis
Joint Authors
Huang, Ying
Deng, Youping
Su, Rui
Wen, Zhineng
Ling, Zhougui
Chen, Jifei
Wei, Xiaomou
Tang, Zhenming
Wen, Zhongwei
Hu, Zhuojun
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Background.
Lung cancer (LC) is top-ranked in cancer incidence and is the leading cause of cancer death globally.
Combining serum biomarkers can improve the accuracy of LC diagnosis.
The identification of the best potential combination of traditional tumor markers is essential for LC diagnosis.
Patients and Methods.
Blood samples were collected from 132 LC cases and 118 benign lung disease (BLD) controls.
The expression levels of ten serum tumor markers (CYFR21, CEA, NSE, SCC, CA15-3, CA 19-9, CA 125, CA50, CA242, and CA724) were assayed, and that the expression in the levels of tumor markers were evaluated, isolated, and combined in different patients.
The performance of the biomarkers was analyzed by receiver operating characteristic (ROC) analyses, and the difference between combinations of biomarkers was compared by Chi-square (χ2) tests.
Results.
As single markers, CYFR21 and CEA showed good diagnostic efficacy for nonsmall cell lung cancer (NSCLC) patients, while NSE and CEA were the most sensitive in the diagnosis of small cell lung cancer (SCLC).
The area under the curve (AUC) value was 0.854 for the panel of four biomarkers (CYFR21, CEA, NSE, and SCC), 0.875 for the panel of six biomarkers (CYFR21, CEA, NSE, SCC, CA125, and CA15-3), and 0.884 for the panel of ten markers (CYFR21, CEA, NSE, SCC, CA125, CA15-3, CA19-9, CA50, CA242, and CA724).
With a higher sensitivity and negative predictive value (NPV), the diagnostic accuracy of the three panels was better than that of any single biomarker, but there were no statistically significant differences among them (all P values > 0.05).
However, the panel of six carbohydrate antigen (CA) biomarkers (CA125, CA15-3, CA19-9, CA50, CA242, and CA724) showed a lower diagnostic value (AUC: 0.776, sensitivity: 59.8%, specificity: 73.0%, and NPV: 60.4%) than the three panels (P value < 0.05).
The performance was similar even when analyzed individually by LC subtypes.
Conclusion.
The biomarkers isolated are elevated for different types of lung cancer, and the panel of CYFR21, CEA, NSE, and SCC seems to be a promising serum biomarker for the diagnosis of lung cancer, while the combination with carbohydrate antigen markers does not improve the diagnostic efficacy.
American Psychological Association (APA)
Wen, Zhineng& Huang, Ying& Ling, Zhougui& Chen, Jifei& Wei, Xiaomou& Su, Rui…[et al.]. 2020. Lack of Efficacy of Combined Carbohydrate Antigen Markers for Lung Cancer Diagnosis. Disease Markers،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153854
Modern Language Association (MLA)
Wen, Zhineng…[et al.]. Lack of Efficacy of Combined Carbohydrate Antigen Markers for Lung Cancer Diagnosis. Disease Markers No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1153854
American Medical Association (AMA)
Wen, Zhineng& Huang, Ying& Ling, Zhougui& Chen, Jifei& Wei, Xiaomou& Su, Rui…[et al.]. Lack of Efficacy of Combined Carbohydrate Antigen Markers for Lung Cancer Diagnosis. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153854
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153854