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疑似肺癌患者支气管肺泡灌洗液蛋白质组学研究。

Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer.

机构信息

Computational and Experimental Biology Group, Health Promotion and Chronic Diseases Department, National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal.

Computational and Experimental Biology Group, CEDOC, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal.

出版信息

Sci Rep. 2017 Feb 7;7:42190. doi: 10.1038/srep42190.

Abstract

Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples.

摘要

肺癌是最致命的癌症类型之一。未来呼气冷凝物分析和低剂量计算机断层扫描(CT)等早期筛查方法的实施将替代目前基于胸部成像的筛查,这将导致支气管镜检查单位的负担增加。为改善支气管镜检查单位的诊断,提高患者管理水平,未来可能会产生临床影响。针对肺癌死亡率的诊断方法包括提高早期检测和根据其预后和对药物治疗的进一步反应对癌症进行分层。在这项研究中,我们对 90 例疑似肺癌患者的非细胞性支气管肺泡灌洗(BAL)液样本进行了基于质谱的蛋白质组学分析,这些患者在两年内进行了观察性前瞻性队列研究。根据液相色谱-质谱(LC-MS)数据,在随访期间诊断出的 13 例新肺癌病例与 BAL 采集时的肺癌病例聚类。在比较肺癌与非肺癌时,发现了 133 个有潜在差异的生物标志物,它们的表达存在显著差异。调节后的生物标志物与组织样本中检测到的生物标志物有很大的重叠。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c23/5294405/69872ca74da0/srep42190-f1.jpg

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