Open AccessThe rational application of liquid biopsy based on next‐generation sequencing in advanced non‐small cell lung cancer
Author(s) -
Zhao Chenglong,
Li Jianghua,
Zhang Yongchang,
Han Rui,
Wang Yubo,
Li Li,
Zhang Yimin,
Zhu Mengxiao,
Zheng Jie,
Du Haiwei,
Hu Chen,
Zhou Chengzhi,
Yang g,
Cai Shangli,
He Yong
Publication year - 2023
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.5410
Subject(s) - concordance , medicine , biopsy , carcinoembryonic antigen , lung cancer , liquid biopsy , predictive value , oncology , cancer
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 < 0.01) and CYFRA21‐1 levels ( r = 0.45, p < 0.05) were significantly correlated with the maximum variant allele frequency, respectively. Conclusions CEA combined with CYFRA21‐1 could effectively predict the concordance between plasma and tissue biopsies, which could be used for evaluating the priority of plasma and tissue biopsies for gene testing to timely guide clinical applications in advanced lung adenocarcinoma patients.