ArticleScientific reports2023
Predicting lung adenocarcinoma prognosis, immune escape, and pharmacomic profile from arginine and proline-related genes.
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 18 papers.
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18 citing papers in PubMed, 19 citations in OpenAlex.
- Metabolic signature of phosphoethanolamine and arginine pathways predicts prognosis and immunotherapy resistance in lung adenocarcinoma.Translational cancer research · 2026Article
- Multi-omics analysis of arginine metabolism in ovarian cancer: A prognostic signature and GTF2F2-driven stromal remodeling.Translational oncology · 2026Article
- SEFA: Semantic Embedding-Based Feature Augmentation of Biomedical Language-Model Embeddings Improves Interpretable Metabolomic Prediction of Lung Cancer.Biomedicines · 2026Article
- Metabolic-immunoregulatory subtypes reveal prognostic and therapeutic insights in multiple primary lung cancer.Frontiers in immunology · 2026Article
- Identification of potential biomarkers and therapeutic targets for osteoarthritis associated with arginine and proline metabolism based on transcriptome sequencing and bioinformatics.Frontiers in genetics · 2026Article
- A novel risk model incorporating 4 mitochondrial unfolded protein response-related genes to predict the prognosis, gene mutation landscape, and immunotherapy response in lung adenocarcinoma.European journal of medical research · 2025Article
- Transcriptomics combined withTranslational cancer research · 2025Article
- Neurogenic locus notch homolog protein 1 (NOTCH 1) SNP informatics coupled with intrinsically disordered regions and post-translational modifications reveals the complex structural crosstalk of Lung Adenocarcinoma (LUAD).Frontiers in bioinformatics · 2025Article
- Exosomal PVRL4 Promotes Lung Adenocarcinoma Progression by Enhancing the Generation of Myeloid-Derived Suppressor Cell-Secreted TGF-β1.Thoracic cancer · 2025Article
- Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3.Frontiers in immunology · 2025Article
- Identification of the molecular subtype and prognostic characteristics of lung adenocarcinoma based on CD8Cancer biomarkers : section A of Disease markers · 2024Article
- Development of a novel centrosome-related risk signature to predict prognosis and treatment response in lung adenocarcinoma.Discover oncology · 2024Article
- Prognostic model of lung adenocarcinoma based on immunoprognosis-related genes and related drug prediction.Journal of thoracic disease · 2024Article
- Identification of a novel immunogenic death-associated model for predicting the immune microenvironment in lung adenocarcinoma from single-cell and Bulk transcriptomes.Journal of Cancer · 2024Article
- Identification of an 11-miRNA-regulated and surface-protein genes signature predicts the prognosis of lung adenocarcinoma based on multi-omics study.American journal of translational research · 2024Article
- Copper-binding protein modelling by single-cell transcriptome and Bulk transcriptome to predict overall survival in lung adenocarcinoma patients.Journal of Cancer · 2024Article
- Identification of T-cell exhaustion-related genes and prediction of their immunotherapeutic role in lung adenocarcinoma.Journal of Cancer · 2024Article
- Identification and validation of tryptophan-related gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma reveals a critical role for PTTG1.Frontiers in immunology · 2024Article
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8 authors at 3 institutions in 1 country.
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Abstract
Lung adenocarcinoma (LUAD) is a highly heterogeneous disease that ranks first in morbidity and mortality. Abnormal arginine metabolism is associated with inflammatory lung disease and may influence alterations in the tumor immune microenvironment. However, the potential role of arginine and proline metabolic patterns and immune molecular markers in LUAD is unclear. Gene expression, somatic mutations, and clinicopathological information of LUAD were downloaded from The Cancer Genome Atlas (TCGA) database. Univariate Cox regression analysis was performed to identify metabolic genes associated with overall survival (OS). Unsupervised clustering divided the sample into two subtypes with different metabolic and immunological profiles. Gene set enrichment analysis (GESA) and gene set variation analysis (GSVA) were used to analyze the underlying biological processes of the two subtypes. Drug sensitivity between subtypes was also predicted; then prognostic features were developed by multivariate Cox regression analysis. In addition, validation was obtained in the GSE68465, and GSE50081 dataset. Then, gene expression, and clinical characterization of hub genes CPS1 and SMS were performed; finally, in vitro validation experiments for knockdown of SMS were performed in LUAD cell lines. In this study, we first identified 12 arginine and proline-related genes (APRGs) significantly associated with OS and characterized the clinicopathological features and tumor microenvironmental landscape of two different subtypes. Then, we established an arginine and proline metabolism-related scoring system and identified two hub genes highly associated with prognosis, namely CPS1, and SMS. In addition, we performed CCK8, transwell, and other functional experiments on SMS to obtain consistent results. Our comprehensive analysis revealed the potential molecular features and clinical applications of APRGs in LUAD. A model based on 2 APRGs can accurately predict survival outcomes in LUAD, improve our understanding of APRGs in LUAD, and pave a new pathway to guide risk stratification and treatment strategy development for LUAD patients.
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