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肺腺癌与 CT 检测良性肺结节患者呼出气冷凝物的比较蛋白质组学分析。

Comparative proteomic analysis of exhaled breath condensate between lung adenocarcinoma and CT-detected benign pulmonary nodule patients.

机构信息

State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai, China.

Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Penn State Hershey Medical Center, Hershey, PA, USA.

出版信息

Cancer Biomark. 2022;34(2):163-174. doi: 10.3233/CBM-203269.

DOI:10.3233/CBM-203269
PMID:34334381
Abstract

BACKGROUND

Lung cancer is the leading cause of cancer mortality worldwide. The collection of exhaled breath condensate (EBC) is a non-invasive method that may have enormous potential as a biomarker for the early detection of lung cancer.

OBJECTIVE

To investigate the proteomic differences of EBC between lung cancer and CT-detected benign nodule patients, and determine whether these proteins could be potential biomarkers.

METHODS

Proteomic analysis was performed on individual samples from 10 lung cancer patients and 10 CT-detected benign nodule patients using data-independent acquisition (DIA) mass spectrometry.

RESULTS

A total of 1,254 proteins were identified, and 21 proteins were differentially expressed in the lung adenocarcinoma group compared to the benign nodule group (p< 0.05). The GO analysis showed that most of these proteins were involved in neutrophil-related biological processes, and the KEGG analysis showed these proteins were mostly annotated to pyruvate and propanoate metabolism. Through protein-protein interactions (PPIs) analysis, ME1 and LDHB contributed most to the interaction-network of these proteins.

CONCLUSION

Significantly differentially expressed proteins were detected between lung cancer and the CT-detected benign nodule group from EBC samples, and these proteins might serve as potential novel biomarkers of EBC for early lung cancer detection.

摘要

背景

肺癌是全球癌症死亡的主要原因。呼出气冷凝液(EBC)的采集是非侵入性的方法,具有作为肺癌早期检测的生物标志物的巨大潜力。

目的

研究肺癌与 CT 检测良性结节患者 EBC 的蛋白质组学差异,并确定这些蛋白质是否可以作为潜在的生物标志物。

方法

使用数据非依赖性采集(DIA)质谱法对 10 例肺癌患者和 10 例 CT 检测良性结节患者的个体样本进行蛋白质组学分析。

结果

共鉴定出 1254 种蛋白质,与良性结节组相比,肺腺癌组有 21 种蛋白质表达差异(p<0.05)。GO 分析表明,这些蛋白质大多数参与中性粒细胞相关的生物学过程,KEGG 分析表明这些蛋白质大多注释为丙酮酸和丙酸代谢。通过蛋白质-蛋白质相互作用(PPI)分析,ME1 和 LDHB 对这些蛋白质的相互作用网络贡献最大。

结论

从 EBC 样本中检测到肺癌与 CT 检测良性结节组之间存在明显差异表达的蛋白质,这些蛋白质可能作为 EBC 早期肺癌检测的潜在新型生物标志物。

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