ArticleScientific reports2023
Metabolic profiles of lung adenocarcinoma via peripheral blood and diagnostic model construction.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Real-time breath metabolomics as catalyst for personalized lung cancer diagnostics: prospective matched case-control trial (LUCAbreath).Translational lung cancer research · 2026Article
- Bile acid metabolism and invasion-related genes as therapeutic monitoring biomarkers in non-small cell lung cancer.Discover oncology · 2025Article
- Metabolic profiles of squamous cell lung carcinoma and diagnostic model construction.Scientific reports · 2025Article
- Differential cellular communication in tumor immune microenvironment during early and advanced stages of lung adenocarcinoma.Molecular genetics and genomics : MGG · 2024Article
- Evaluation of the role of EGFR exon 19 747-750 deletion mutation and plasma amino acid profile in the development of lung cancer.Molecular biology reports · 2024Article
- Article
- Metabolomics-based search for lung cancer markers among patients with different smoking status.Scientific reports · 2024Article
- Immune Gene Networks from Lung Cancer Patients Treated with Immune Checkpoint Inhibitors.Biomedicines · 2024Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The metabolic profile of cancerous cells is shifted to meet the cellular demand required for proliferation and growth. Here we show the features of cancer metabolic profiles using peripheral blood of healthy control subjects (n = 78) and lung adenocarcinoma (LUAD) patients (n = 64). Among 121 detected metabolites, diagnosis of LUAD is based on arginine, lysophosphatidylcholine-acyl (Lyso.PC.a) C16:0, and PC-diacyl (PC.aa) C38:3. Network analysis revealed that network heterogeneity, diameter, and shortest path were decreased in LUAD. On the contrary, these parameters were increased in advanced-stage compared to early-stage LUAD. Clustering coefficient, network density, and average degree were increased in LUAD compared to the healthy control, whereas these topologic parameters were decreased in advanced-stage compared to early-stage LUAD. Public LUAD data verified that the genes encoding enzymes for arginine (NOS, ARG, AZIN) and for Lyso.PC and PC (CHK, PCYT, LPCAT) were related with overall survival. Further studies are required to verify these results with larger samples and other histologic types of lung cancer.
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