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支气管肺泡灌洗液中的蛋白质糖型作为肺癌诊断的新型潜在生物标志物

Protein Glycopatterns in Bronchoalveolar Lavage Fluid as Novel Potential Biomarkers for Diagnosis of Lung Cancer.

作者信息

Liu Lina, Li Dan, Shu Jian, Wang Li, Zhang Fan, Zhang Chen, Yu Hanjie, Chen Mingwei, Li Zheng, Guo Xuan

机构信息

Department of Clinical Laboratory, Xi'an No. 4 Hospital, Xi'an, China.

Department of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

出版信息

Front Oncol. 2021 Jan 14;10:568433. doi: 10.3389/fonc.2020.568433. eCollection 2020.

Abstract

Lung cancer is one of the most prevalent and life-threatening neoplasias worldwide due to the deficiency of ideal diagnostic biomarkers. Although aberrant glycosylation has been observed in human serum and tissue, little is known about the alterations in bronchoalveolar lavage fluid (BALF) that are extremely associated with lung cancer. In this study, our aim was to systematically investigate and assess the alterations of protein glycopatterns in BALF and possibility as biomarkers for diagnosis of lung cancer. Here, lectin microarrays and blotting analysis were utilized to detect the differential expression of BALF glycoproteins from patients with 80 adenocarcinomas (ADC), 77 squamous carcinomas (SCC), 51 small cell lung cancer (SCLC), and 73 benign pulmonary diseases (BPD). These 281 specimens were then randomly divided into a training cohort and validation cohort for constructing and verifying the diagnostic models based on the glycopattern abundances. Moreover, an independent test was performed with 120 newly collected BALF samples enrolled in the double-blind cohort to further assess the clinical application potential of the diagnostic models. According to the results, there were 15 (e.g., PHA-E, EEL, and BPL) and 14 lectins (e.g., PTL-II, LCA, and SJA) that individually showed significant variations in different types and stages of lung cancer compared to BPD. Notably, the diagnostic models achieved better discriminate power in the validation cohort and exhibited high accuracies of 0.917, 0.864, 0.712, 0.671, and 0.781 in the double-blind cohort for the diagnosis of lung cancer, early stage lung cancer, ADC, SCC, and SCLC, respectively. Taken together, the present study revealed that the abnormally altered protein glycopatterns in BALF are expected to be novel potential biomarkers for the identification and early diagnosis of lung cancer, which will contribute to explain the mechanism of the development of lung cancer from the perspective of glycobiology.

摘要

由于缺乏理想的诊断生物标志物,肺癌是全球最常见且危及生命的肿瘤之一。尽管在人血清和组织中已观察到异常糖基化,但对于与肺癌密切相关的支气管肺泡灌洗液(BALF)中的变化却知之甚少。在本研究中,我们的目的是系统地研究和评估BALF中蛋白质糖型的变化以及作为肺癌诊断生物标志物的可能性。在此,利用凝集素微阵列和印迹分析来检测80例腺癌(ADC)、77例鳞状细胞癌(SCC)、51例小细胞肺癌(SCLC)和73例良性肺部疾病(BPD)患者BALF糖蛋白的差异表达。然后将这281个样本随机分为训练队列和验证队列,以基于糖型丰度构建和验证诊断模型。此外,对纳入双盲队列的120个新收集的BALF样本进行独立测试,以进一步评估诊断模型的临床应用潜力。结果显示,与BPD相比,有15种凝集素(如PHA-E、EEL和BPL)和14种凝集素(如PTL-II、LCA和SJA)在肺癌的不同类型和阶段分别表现出显著差异。值得注意的是,诊断模型在验证队列中具有更好的区分能力,并且在双盲队列中对肺癌、早期肺癌、ADC、SCC和SCLC诊断的准确率分别达到0.917、0.864、0.712、0.671和0.781。综上所述,本研究表明BALF中异常改变的蛋白质糖型有望成为肺癌识别和早期诊断的新型潜在生物标志物,这将有助于从糖生物学角度解释肺癌的发生发展机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ea0/7840895/d5149a4dbf2f/fonc-10-568433-g001.jpg

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