Evidence map›Paper›PMID 39778061›Full record

ArticleThoracic cancer2025

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

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

Abstract read
In one paragraph

Article in Thoracic cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Huohuo ZhangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0005-8617-2536
Jiaxuan WuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0000-9694-7212
Jiadi GanDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0005-1199-7656
Wei WangHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yi LiuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tingting SongInstitute of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yongfeng YangInstitute of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Guiyi JiHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Weimin LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0003-0985-0311

Funding

National Natural Science Foundation of China 92159302Natural Science Foundation of Sichuan Province 2023NSFSC1458Sichuan Provincial Science and Technology Support Program 2022ZDZX0018West China Hospital, Sichuan University ZYGD22009
6 · The paper itself

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.

Indexed as

Biomarkers, TumorExosomesLung NeoplasmsProteomicsPulmonary Disease, Chronic ObstructiveAgedFemaleHumansMaleMiddle AgedBiomarkers, TumorCOPDexosomelabel‐free quantification (LFQ)lung cancerparallel reaction monitoring (PRM)plasma proteomics

Identifiers

PMID39778061
PMCPMC11717053

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.