Proteomic Analysis of Plasma Exosomes Enables the Identification of Lung Cancer in Patients With Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is confirmed as an independent risk factor for the development of lung cancer. Although low-dose CT screening significantly reduces the mortality rate of lung cancer, the misdiagnosis and missed diagnosis rates remain high in the COPD population. Additionally, several COPD patients are unable to undergo invasive histological examinations. Therefore, there is an urgent need for minimally invasive biomarkers to screen or diagnose lung cancer in COPD patients. In this study, peripheral blood samples were collected from COPD patients with and without lung cancer. Plasma exosomes (EVs) were extracted for proteomic analysis. Sixteen differentially expressed proteins (DEPs) were preliminarily selected via label-free quantification (LFQ) proteomic technology and comprehensive bioinformatics analysis. Parallel reaction monitoring (PRM) targeted validation identified five candidate proteins associated with COPD with lung cancer. Compared to the COPD group, KRT1, KRT9, and KRT10 were significantly upregulated in the COPD with lung cancer group, while GPLD1 and TF were downregulated. The biomarkers identified in our study provide a foundation for non-invasive screening and diagnosis of lung cancer in COPD patients and exploration of the mechanisms shared between COPD and lung cancer.

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Publication Details

Journal
Thoracic Cancer
Published
2025-01-01
DOI
https://doi.org/10.1111/1759-7714.15517
Citations
5
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
4.03

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article

Proteomic Analysis of Plasma Exosomes Enables the Identification of Lung Cancer in Patients With Chronic Obstructive Pulmonary Disease

Jiadi Gan, Guiyi Ji, Jiaxuan Wu, Yi Liu et al.
5 citations
Thoracic Cancer
Extracellular vesicles in disease
4.03
article

Proteomic Analysis of Plasma Exosomes Enables the Identification of Lung Cancer in Patients With Chronic Obstructive Pulmonary Disease

Jiadi Gan, Guiyi Ji, Jiaxuan Wu, Yi Liu, Yongfeng Yang, Weimin Li, Wei Wang, Tingting Song, Huohuo Zhang
article en
5 citations

Abstract

Chronic obstructive pulmonary disease (COPD) is confirmed as an independent risk factor for the development of lung cancer. Although low-dose CT screening significantly reduces the mortality rate of lung cancer, the misdiagnosis and missed diagnosis rates remain high in the COPD population. Additionally, several COPD patients are unable to undergo invasive histological examinations. Therefore, there is an urgent need for minimally invasive biomarkers to screen or diagnose lung cancer in COPD patients. In this study, peripheral blood samples were collected from COPD patients with and without lung cancer. Plasma exosomes (EVs) were extracted for proteomic analysis. Sixteen differentially expressed proteins (DEPs) were preliminarily selected via label-free quantification (LFQ) proteomic technology and comprehensive bioinformatics analysis. Parallel reaction monitoring (PRM) targeted validation identified five candidate proteins associated with COPD with lung cancer. Compared to the COPD group, KRT1, KRT9, and KRT10 were significantly upregulated in the COPD with lung cancer group, while GPLD1 and TF were downregulated. The biomarkers identified in our study provide a foundation for non-invasive screening and diagnosis of lung cancer in COPD patients and exploration of the mechanisms shared between COPD and lung cancer.

Thoracic CancerVol. 16(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Sichuan University (CN), West China Medical Center of Sichuan University (CN), West China Hospital of Sichuan University (CN)
National Natural Science Foundation of China, Sichuan University, Natural Science Foundation of Sichuan Province, Sichuan Province Science and Technology Support Program, West China Hospital, Sichuan University
Good health and well-being
Openalex Percentile: Top 7%
Extracellular vesicles in disease
4.03
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