ArticleCurrent oncology (Toronto, Ont.)2023
Molecular Characterization and Prognosis of Lactate-Related Genes in Lung Adenocarcinoma.
Article in Current oncology (Toronto, Ont.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- A method for the identification of lactate metabolism-related prognostic biomarkers and its validations in non-small cell lung cancer.Scientific reports · 2025Article
- Hypoxia studies in non‑small cell lung cancer: Pathogenesis and clinical implications (Review).Oncology reports · 2025Review
- Investigating the Role of Lactate-Related Genes in Radiotherapy Resistance of Lung Cancer by Integrated Bioinformatics and Experiment Validation.Journal of Cancer · 2025Article
- Targeting Lactate: An Emerging Strategy for Macrophage Regulation in Chronic Inflammation and Cancer.Biomolecules · 2024Review
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8 authors.
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Abstract
objectiveTo explore the lactate-related genes (LRGs) in lung adenocarcinoma (LUAD) by various methods, construct a prognostic model, and explore the relationship between lactate subtypes and the immune tumor microenvironment (TME).
methods24 LRGs were collected. The mutation landscape and the prognosis value of LRGs were explored by using The Cancer Genome Atlas (TCGA) data. Consensus clustering analysis was used for different lactate subtype identification. Based on the lactate subtypes, we explore the landscape of TME cell infiltration. A risk-score was calculated by using the LASSO-Cox analysis. A quantitative real-time PCR assay was utilized to validate the expression of characteristic genes in clinical cancer tissues and paracarinoma tissues from LUAD patients.
resultsComparing the normal samples, 18 LRGs were differentially expressed in tumor samples, which revealed that the differential expression of LRGs may be related to Copy Number Variation (CNV) alterations. The two distinct lactate subtypes were defined. Compared to patients in the LRGcluster A group, LUAD patients in the LRGcluster B group achieved better survival. The prognostic model was constructed based on differentially expressed genes (DEGs) via the LASSO-Cox analysis, which showed the accuracy of predicting the prognosis of LUAD patients using the ROC curve. A high-risk score was related to a high immune score, stromal score, and tumor mutation burden (TMB). Patients had better OS with low risk compared with those with high risk. The sensitivities of different risk groups to chemotherapeutic drugs were explored. Finally, the expression of characteristic genes in clinical cancer tissues and paracarinoma tissues from LUAD patients was verified via qRT-PCR.
conclusionsThe lactate subtypes were independent prognostic biomarkers in LUAD. Additionally, the difference in the lactate subtypes was an indispensable feature for the individual TME. The comprehensive evaluation of the lactate subtypes in the single tumor would help us to understand the infiltration characteristics of TME and guide immunotherapy strategies.
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