Lectin microarrays differentiate carcinoma cells from reactive mesothelial cells in pleural effusions
Lectin microarrays differentiate carcinoma cells from reactive mesothelial cells in pleural effusions
复制标题
凝集素微阵列区分胸腔积液中的癌细胞与反应性间皮细胞
DOI：
10.1007/s10616-012-9474-x
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发表时间：
2013-05-01
期刊：
影响因子：
2.2
通讯作者：
Wu, Guang-Ping
中科院分区：
文献类型：
--
作者：
Shi, Yu-Qing;He, Qun;Wu, Guang-Ping
本研究的目的是评估凝集素微阵列在肺癌患者胸腔积液中的诊断价值。应用凝集素微阵列技术，LTL、PSA、LCA、UEA-1、AAL、MAL-I、MAL-II、SNA、WGA、ECL、DSA、STL、SWGA、HPA、ConA、GNA、HHL、BPL、EEL、Jacalin、WFA、ACL、MPL、DBA、SBA，对54例肺癌和54例良性肺病患者胸腔积液细胞的糖蛋白谱进行了检测。用作实验对照的A549细胞系对AAL、MAL-I、WGA、STL、Jacalin和ACL结合呈阳性。胸腔积液中的腺癌细胞对ECL、DSA、AAL、MAL-I、WGA、STL、Jacalin和ACL结合呈阳性。AAL、WGA和ACL阳性结合最常见，分别见于54、48和38份样本。ECL和DSA结合仅在4个样品中呈阳性。相比之下，反应性间皮细胞对微阵列组中的所有标志物显示阳性结合。在大多数样本中检测到SNA和AAL阳性结合;分别为50/54和48/54份样本。DBA、MAL-II和EEL的阳性结合分别仅存在于2、4和4个样品中。SNA结合具有最高的灵敏度（92.6%）、特异性（100%）和准确性（96.3%）。SNA可用作区分反应性间皮细胞与腺癌细胞的生物标志物。凝集素微阵列被证明能够区分癌细胞和胸腔积液中的反应性间皮细胞。
The aim of this study was to evaluate the diagnostic utility of lectin microarrays in pleural effusions of patients with lung cancer. A lectin microarray, LTL, PSA, LCA, UEA-1, AAL, MAL-I, MAL-II, SNA, WGA, ECL, DSA, STL, SWGA, HPA, ConA, GNA, HHL, BPL, EEL, Jacalin, WFA, ACL, MPL, DBA, SBA, was used to determine the glycoprotein profile of cells in pleural effusions from patients with lung cancer (54 cases), and with benign lung disease (54 cases). The A549 cell line, used as an experimental control, was positive for AAL, MAL-I, WGA, STL, Jacalin and ACL binding. Adenocarcinoma cells in pleural effusions were positive for ECL, DSA, AAL, MAL-I, WGA, STL, Jacalin, and ACL binding. AAL, WGA, and ACL positive binding was the most common, found in 54, 48, and 38 samples, respectively. ECL and DSA binding was positive in only 4 samples. In comparison, reactive mesothelial cells displayed positive binding for all markers in the microarray panel. SNA and AAL positive binding was detected in the majority of samples; 50/54 and 48/54 samples, respectively. Positive binding of DBA, MAL-II and EEL was present in only 2, 4 and 4 samples, respectively. SNA binding had the highest sensitivity (92.6 %), specificity (100 %), and accuracy (96.3 %). SNA may be used as a biomarker to distinguish reactive mesothelial cells from adenocarcinoma cells. The lectin microarrays proved able to distinguish carcinoma cells from reactive mesothelial cells in pleural effusions.