Autor: |
Chenglong Zhao, Jianghua Li, Yongchang Zhang, Rui Han, Yubo Wang, Li Li, Yimin Zhang, Mengxiao Zhu, Jie Zheng, Haiwei Du, Chen Hu, Chengzhi Zhou, Nong Yang, Shangli Cai, Yong He |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Cancer Medicine, Vol 12, Iss 5, Pp 5603-5614 (2023) |
Druh dokumentu: |
article |
ISSN: |
2045-7634 |
DOI: |
10.1002/cam4.5410 |
Popis: |
Abstract Background Plasma and tissue biopsy have both used for targeting actionable driver gene mutations in lung cancer, whose concordance is imperfect. A reliable method to predict the concordance is urgently needed to ease clinical application. Methods A total of 1012 plasma samples, including 519 with paired‐tissue biopsy samples, derived from lung adenocarcinoma patients were retrospectively enrolled. We assessed the associations of several clinicopathological characteristics and serum tumor markers with the concordance between plasma and tissue biopsies. Results When carcinoembryonic antigen (CEA) levels were higher than thresholds of 15.01 ng/ml and 51.15 ng/ml, the positive predictive value of concordance reached 90% and 95%, respectively. When CEA levels were lower than thresholds of 5.19 ng/ml and 3.26 ng/mL, the negative predictive value of concordance reached 45% and 50%. The performance of CYFRA21‐1 in predicting concordance was similar but inferior to CEA (AUC: 0.727 vs. 0.741, p = 0.633). The performance of CEA combined with CYFRA21‐1 in predicting the concordance was similar to that of the combination of independent factors derived from the LASSO regression model (AUC: 0.796 vs. 0.818, p = 0.067). CEA (r = 0.47, p |
Databáze: |
Directory of Open Access Journals |
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