Jia Liyuan, Ma Tianran, Liang Yiqian, Du Haoqi, Shu Jian, Liu Xiawei, Zhang Zhiwei, Yu Hanjie, Chen Mingwei, Li Zheng
Laboratory for Functional Glycomics, College of Life Sciences, Northwest University Xi'an 710069 P. R. China
Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of School of Medicine of Xi'an, Jiaotong University Xi'an 710061 China.
RSC Adv. 2020 Feb 18;10(12):7181-7193. doi: 10.1039/c9ra10077f. eCollection 2020 Feb 13.
: The main reason why lung cancer has maintained a high rate of morbidity and mortality is that its early diagnosis is difficult. No current lung cancer screening is recommended by any major medical organization due to the lack of sensitive and specific screening technologies. Thus, this study aimed to systematically investigate the correlation between the alterations in serum glycosylation and three main types of lung cancers (SCLC, ADC and SqCC). : We investigated the protein glycopatterns in sera from 333 subjects (65 healthy volunteers, 38 benign lung disease patients, 49 small cell lung cancer patients, and 181 NSCLC patients) using a lectin microarray. A serum microarray was produced to evaluate and verify the terminal carbohydrate moieties of the glycoproteins in individual serum samples from 30 cases simultaneously. : There were 16 lectins (, RCA120, BS-I, and UEA-I), 24 lectins (, HHL, PTL-I, and MAL-II), and 18 lectins (, GSL-I, LEL, and ACA) that exhibited significant differences in serum protein glycopatterns in the patients with SCLC, ADC and SqCC compared with the controls (HV and BPD). There were 6 lectins (, EEL, NPA, and LEL) that exhibited significantly increased NFIs in ADC and SqCC compared with SCLC. Also, there were 5 lectins (, Jacalin, BS-I, and UEA-I) that exhibited significantly decreased NFIs in ADC compared with SCLC and SqCC. : This study can facilitate the discovery of potential biomarkers for the differential diagnosis of lung cancer based on the precise alteration in serum protein glycopatterns.
肺癌发病率和死亡率居高不下的主要原因是其早期诊断困难。由于缺乏灵敏且特异的筛查技术,目前尚无任何主要医学组织推荐进行肺癌筛查。因此,本研究旨在系统地探究血清糖基化改变与三种主要类型肺癌(小细胞肺癌、腺癌和鳞癌)之间的相关性。
我们使用凝集素微阵列研究了333名受试者(65名健康志愿者、38名良性肺病患者、49名小细胞肺癌患者和181名非小细胞肺癌患者)血清中的蛋白质糖型。制作了血清微阵列,以同时评估和验证来自30例个体血清样本中糖蛋白的末端碳水化合物部分。
与对照组(健康志愿者和良性肺病患者)相比,有16种凝集素(如RCA120、BS-I和UEA-I)、24种凝集素(如HHL、PTL-I和MAL-II)以及18种凝集素(如GSL-I、LEL和ACA)在小细胞肺癌、腺癌和鳞癌患者的血清蛋白质糖型中表现出显著差异。与小细胞肺癌相比,有6种凝集素(如EEL、NPA和LEL)在腺癌和鳞癌中表现出显著增加的归一化荧光强度(NFI)。此外,与小细胞肺癌和鳞癌相比,有5种凝集素(如Jacalin、BS-I和UEA-I)在腺癌中表现出显著降低的NFI。
本研究基于血清蛋白质糖型的精确改变,有助于发现用于肺癌鉴别诊断的潜在生物标志物。