实用医学杂志 ›› 2024, Vol. 40 ›› Issue (13): 1814-1821.doi: 10.3969/j.issn.1006-5725.2024.13.009

• 临床研究 • 上一篇    下一篇

肺癌合并肺结核的蛋白组学图谱及差异表达蛋白功能分析

周文娣1,2,林佳敏1,2,琚岱晨1,2,王琪1,朱家楼1,苏宁1,胡锦兴1()   

  1. 1.广州医科大学结核病防治研究院,广州市胸科医院 (广州 510095 )
    2.广州医科大学研究生院 (广州 511436 )
  • 收稿日期:2024-02-25 出版日期:2024-07-10 发布日期:2024-07-09
  • 通讯作者: 胡锦兴 E-mail:hujinxing2000@163.com
  • 基金资助:
    国家重点研发计划(2022YFC2304800);广州市科技计划项目(2023A03J0539)

Proteomic profiling and functional analysis of differentially expressed proteins in lung cancer coexistent with pulmonary tuberculosis

Wendi ZHOU1,2,Jiamin LIN1,2,Daichen JU1,2,Qi WANG1,Jialou ZHU1,Ning SU1,Jinxing. HU1()   

  1. 1.Institute of Tuberculosis,Guangzhou Medical University,Guangzhou Chest Hospital,Guangzhou 510095,China
    2.Groduate School,Guangzhou Medical University,Guangzhou 511436,China
  • Received:2024-02-25 Online:2024-07-10 Published:2024-07-09
  • Contact: Jinxing. HU E-mail:hujinxing2000@163.com

摘要:

目的 旨在分析肺癌合并肺结核(LC-PTB)患者的外周血蛋白组学特征,寻找其与肺癌(LC)患者的差异蛋白并对差异蛋白进行功能分析。 方法 研究共纳入8例LC-PTB患者和10例LC患者,LC均为经病理确诊且未接受任何治疗的初诊患者,PTB均为采样时结核杆菌病原性阳性。应用液相色谱-质谱串联技术对上述患者的外周血样本进行蛋白质组学检测,并评估其间的差异蛋白,进而通过生物信息学进行功能分析。 结果 两组共检测到5 185种蛋白质,识别出190种差异蛋白,其中58种表达上调,132种表达下调。亚细胞定位分析显示,差异蛋白主要集中在细胞质、细胞核和细胞外基质。KEGG通路及GO分析进一步揭示了差异蛋白在免疫反应、新陈代谢和分泌调控等生物过程中的作用。蛋白质互作网络分析指出SORT1、SAR1B、RPS6KB1、VWF、SHC1、SRPRB、CTSD、TARDBP、RPLP0、PSMA2、RPS6、XPO1、PRKACB、HLA?DRB1等可能在LC-PTB发生发展中发挥重要作用。此外,ADA2、MAP3K1、GLS2等蛋白的表达变化也可能与LC-PTB的发展密切相关。 结论 蛋白组学图谱全面描述了LC-PTB的蛋白组学特征并发现众多表达差异蛋白,有望为LC-PTB生物学机制研究提供进一步的线索。

关键词: 肺癌, 肺结核, 蛋白质组学, 液相色谱-质谱串联技术

Abstract:

Objective This study aims to analyze the proteomic characteristics of peripheral blood in patients with lung cancer coexistent with pulmonary tuberculosis (LC?PTB), identify the differential proteins compared with lung cancer (LC) patients, and conduct functional analysis on these proteins. Methods The study included 8 LC?PTB patients and 10 LC patients. The LC patients were newly diagnosed and confirmed by pathology and did not receive any anti?tumor treatment before, while the PTB patients were Mycobacterium tuberculosis positive at the time of sampling. Liquid chromatography?tandem mass spectrometry (LC?MS/MS) was applied to perform proteomic mass spectrometry to assess the differential proteins, and then functional analysis was conducted via bioinformatics. Results A total of 5,185 proteins were detected between two groups. Through differential expression screening, 190 proteins (58 upregulated and 132 downregulated) were identified to be differentially expressed. Subcellular localization analysis revealed that the differential proteins were mainly concentrated in the cytoplasm, nucleus, and extracellular matrix. KEGG pathway and GO analysis showed the roles of differential proteins in biological processes including immune response, metabolism, and secretion regulation. Protein interaction network analysis highlighted the importance of SORT1, SAR1B, RPS6KB1, VWF, SHC1, SRPRB, CTSD, TARDBP, RPLP0, PSMA2, RPS6, XPO1, PRKACB, and HLA?DRB1 in LC?PTB. Additionally, the expression changes in proteins like ADA2, MAP3K1, and GLS2 might be closely associated with the development of LC?PTB. Conclusions The proteomic profile comprehensively described the proteomic characteristics of LC?PTB and identified numerous differentially expressed proteins, which could provide further clues for research on biological mechanism of LC?PTB.

Key words: lung cancer, pulmonary tuberculosis, proteomics, liquid chromatography?tandem mass spectrometry

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