ArticleBMC immunology2023
Transcriptomic analysis identifies CYP27A1 as a diagnostic marker for the prognosis and immunity in lung adenocarcinoma.
Article in BMC immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 9 citations in OpenAlex.
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- Leveraging mitochondrial dynamics-related risk signatures to predict the prognosis and tumor microenvironment of lung adenocarcinoma.Discover oncology · 2026Article
- Comprehensive analysis of a machine learning prognostic model for the interaction between mitochondrial function and lactylation in lung adenocarcinoma.Discover oncology · 2025Article
- Genome-scale metabolic modeling and machine learning unravel metabolic reprogramming and mast cell role in lung cancer: a multi-level analysis.Translational lung cancer research · 2025Article
- [Curcumin inhibits lipid metabolism in non-small cell lung cancer by downregulating the HIF-1α pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- Integrative analysis reveals key molecular mechanisms and prognostic model for Ethylnitrosourea-induced gliomagenesis.BMC pharmacology & toxicology · 2025Article
- MEF2C is a Potential Prognostic Biomarker and is Correlated with Immune Infiltrates in Lung Adenocarcinoma.Current medicinal chemistry · 2025Article
- Integrated multi-omics profiling landscape of organising pneumonia.Clinical and translational medicine · 2024Article
- The immune cell infiltration-associated molecular subtypes and gene signature predict prognosis for osteosarcoma patients.Scientific reports · 2024Article
- Analysis of Nucleoporin 107 Overexpression and Its Association with Prognosis and Immune Infiltration in Lung Adenocarcinoma by Bioinformatics Methods.International journal of general medicine · 2023Article
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4 authors at 2 institutions in 1 country.
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Abstract
backgroundThe association between lipid metabolism disorder and carcinogenesis is well-established, but there is limited research on the connection between lipid metabolism-related genes (LRGs) and lung adenocarcinoma (LUAD). The objective of our research was to identify LRGs as the potential biomarkers for prognosis and assess their impact on immune cell infiltration in LUAD.
methodsWe identified novel prognostic LRGs for LUAD patients via the bioinformatics analysis. CYP27A1 expression level was systematically evaluated via various databases, such as TCGA, UALCAN, and TIMER. Subsequently, LinkedOmics was utilized to perform the CYP27A1 co-expression network and GSEA. ssGSEA was conducted to assess the association between infiltration of immune cells and CYP27A1 expression. CYP27A1's expression level was validated by qRT-PCR analysis.
resultsCYP27A1 expression was decreased in LUAD. Reduced CYP27A1 expression was linked to unfavorable prognosis in LUAD. Univariate and multivariate analyses indicated that CYP27A1 was an independent prognostic biomarker for LUAD patients. GSEA results revealed a positive correlation between CYP27A1 expression and immune-related pathways. Furthermore, CYP27A1 expression was positively correlated with the infiltration levels of most immune cells.
conclusionCYP27A1 is a potential biomarker for LUAD patients, and our findings provided a novel perspective to develop the prognostic marker for LUAD patients.
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