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

Lin Ma, Guanghong Xiu, Joshua Muscat, Raghu Sinha, Dongxiao Sun, Guangli Xiu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)163-174
Number of pages12
JournalCancer Biomarkers
Volume34
Issue number2
DOIs
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Oncology
  • Genetics
  • Cancer Research

Fingerprint

Dive into the research topics of 'Comparative proteomic analysis of exhaled breath condensate between lung adenocarcinoma and CT-detected benign pulmonary nodule patients'. Together they form a unique fingerprint.

Cite this