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


Journal

Cancer biomarkers : section A of Disease markers
ISSN: 1875-8592
Titre abrégé: Cancer Biomark
Pays: Netherlands
ID NLM: 101256509

Informations de publication

Date de publication:
2022
Historique:
pubmed: 3 8 2021
medline: 3 6 2022
entrez: 2 8 2021
Statut: ppublish

Résumé

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. 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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 34334381
pii: CBM203269
doi: 10.3233/CBM-203269
doi:

Substances chimiques

Biomarkers 0
Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163-174

Auteurs

Lin Ma (L)

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.

Guanghong Xiu (G)

Yantaishan Hospital, Yantai, Shandong, China.

Joshua Muscat (J)

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

Raghu Sinha (R)

Department of Biochemistry and Molecular Biology, Penn State Hershey Medical Center, Hershey, PA, USA.

Dongxiao Sun (D)

Department of Pharmacology, Mass Spectrometry Core Facility, The Pennsylvania State University, PA, USA.

Guangli Xiu (G)

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.

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Classifications MeSH