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2
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3
Application of circulating genetically abnormal cells in the diagnosis of early-stage lung cancer.循环遗传异常细胞在早期肺癌诊断中的应用。
J Cancer Res Clin Oncol. 2022 Mar;148(3):685-695. doi: 10.1007/s00432-021-03648-w. Epub 2021 Apr 24.
4
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5
The metastasizing mechanisms of lung cancer: Recent advances and therapeutic challenges.肺癌转移机制:最新进展与治疗挑战。
Biomed Pharmacother. 2021 Jun;138:111450. doi: 10.1016/j.biopha.2021.111450. Epub 2021 Mar 6.
6
Detection of circulating genetically abnormal cells using 4-color fluorescence in situ hybridization for the early detection of lung cancer.应用四色荧光原位杂交技术检测循环中遗传异常细胞用于肺癌的早期检测。
J Cancer Res Clin Oncol. 2021 Aug;147(8):2397-2405. doi: 10.1007/s00432-021-03517-6. Epub 2021 Feb 6.
7
Detection of circulating genetically abnormal cells in peripheral blood for early diagnosis of non-small cell lung cancer.检测外周血循环中遗传异常细胞用于非小细胞肺癌的早期诊断。
Thorac Cancer. 2020 Nov;11(11):3234-3242. doi: 10.1111/1759-7714.13654. Epub 2020 Sep 28.
8
Systematic review and meta-analysis on the impact of lung cancer screening by low-dose computed tomography.系统评价和荟萃分析低剂量计算机断层扫描肺癌筛查的影响。
Eur J Cancer. 2020 Jul;134:107-114. doi: 10.1016/j.ejca.2020.04.035. Epub 2020 Jun 2.
9
Identification of circulating tumor cells using 4-color fluorescence in situ hybridization: Validation of a noninvasive aid for ruling out lung cancer in patients with low-dose computed tomography-detected lung nodules.使用 4 色荧光原位杂交技术鉴定循环肿瘤细胞:验证一种非侵入性辅助方法,用于排除低剂量计算机断层扫描检测到肺部结节的患者的肺癌。
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10
Non-Small Cell Lung Cancer: Epidemiology, Screening, Diagnosis, and Treatment.非小细胞肺癌:流行病学、筛查、诊断和治疗。
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循环异常细胞在早期肺癌中的诊断价值。

The diagnostic value of circulating abnormal cells in early lung cancer.

作者信息

Meng Hui, Yao Wu, Nan Man-Man, Zhou Fu-Guang, Song Wen-Yan, Li Yi-Zhen, Yin Yu-Hui, Ding Yi

机构信息

Department of Pathology, First Affiliated Hospital of Zhengzhou University Zhengzhou, Henan, China.

College of Public Health, Zhengzhou University Zhengzhou, Henan, China.

出版信息

Am J Cancer Res. 2023 Apr 15;13(4):1594-1601. eCollection 2023.

PMID:37168347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10164803/
Abstract

Lung cancer is the leading cause of cancer-related deaths globally. Early detection of lung cancer can lead to more effective treatment and improved survival. Circulatory abnormal cells (CACs) with specific chromosomal variation may be used to diagnose lung cancer and to differentiate benign from malignant nodules. The value of CAC in precancer diagnosis, however, remains controversial. In this study, a systematic review and meta-analysis are conducted to clarify the diagnostic value of CAC in early-stage lung cancer. A systematic literature search was conducted using the following medical topic title terms and text-free words: "circulating genetically abnormal cells", "CACs", "liquid biopsy", "early lung cancer", "non-small cell lung cancer", "diagnostic accuracy", "sensitivity" and "specificity" in Science Direct, CNKI and Wanfang databases, respectively. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and area under the curve were analyzed by STATA15.0 (MP) software. Deek funnel plots were used to assess potential publication bias. Heterogeneity was tested using the I2 statistic and the Cochrane Q test. 7 major studies were included in this meta-analysis, and a total of 53728 participants were analyzed. In the diagnosis of early lung cancer, CAC had pooled sensitivity, specificity, and receiver operating characteristics of 0.80 (95% CI: 0.73-0.86), 0.85 (95% CI: 0.69-0.94), and 0.87 (95% CI: 0.84-0.90). The combined positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and diagnostic score were 23.36 (95% CI: 7.33-74.46), 5.42 (95% CI: 2.37-12.43), 0.23 (95% CI: 0.16-0.35) and 3.15 (95% CI: 1.99-4.31) respectively. Publication bias was not detected. The CAC is effective at detecting lung cancer in its early stages.

摘要

肺癌是全球癌症相关死亡的主要原因。早期发现肺癌可带来更有效的治疗并提高生存率。具有特定染色体变异的循环异常细胞(CACs)可用于诊断肺癌,并区分良性和恶性结节。然而,CAC在癌前诊断中的价值仍存在争议。在本研究中,进行了一项系统评价和荟萃分析,以阐明CAC在早期肺癌中的诊断价值。分别在科学Direct、中国知网和万方数据库中使用以下医学主题标题词和无文本词进行系统文献检索:“循环基因异常细胞”、“CACs”、“液体活检”、“早期肺癌”、“非小细胞肺癌”、“诊断准确性”、“敏感性”和“特异性”。使用STATA15.0(MP)软件分析敏感性、特异性、阳性似然比、阴性似然比和曲线下面积。使用Deek漏斗图评估潜在的发表偏倚。使用I2统计量和Cochrane Q检验检验异质性。本荟萃分析纳入了7项主要研究,共分析了53728名参与者。在早期肺癌的诊断中,CAC的合并敏感性、特异性和受试者操作特征分别为0.80(95%CI:0.73-0.86)、0.85(95%CI:0.69-0.94)和0.87(95%CI:0.84-0.90)。合并的阳性似然比、阴性似然比、诊断比值比和诊断分数分别为23.36(95%CI:7.33-74.46)、5.42(95%CI:2.37-12.43)、0.23(95%CI:0.16-0.35)和3.15(95%CI:1.99-4.31)。未检测到发表偏倚。CAC在早期检测肺癌方面是有效的。