ArticleFrontiers in endocrinology2023
The integrated single-cell analysis developed a lactate metabolism-driven signature to improve outcomes and immunotherapy in lung adenocarcinoma.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- The entanglement of extracellular matrix molecules and immune checkpoint inhibitors in cancer: a systematic review of the literature.Frontiers in immunology · 2023Pooled it
- Predicting PD-L1 + CD8 - status in non-small cell lung cancer tissue from clinical indicators using machine learning.Chinese medical journal · 2026Article
- AHSA1 promotes the progression of lung cancer by enhancing the expression of HSP90α.Histology and histopathology · 2026Article
- Lactate-Mediated Epigenetic and Immunometabolic Reprogramming in Glioma: An Emerging Axis Linking Metabolism to Tumor Progression.Biomedicines · 2025Review
- Clinically Inspired Multimodal Treatment Using Induced Neural Stem Cells-Derived Exosomes Promotes Recovery of Traumatic Brain Injury through Microglial Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Integrative single-cell and bulk RNA-seq analysis identifies glycosyltransferases-related signature in triple negative breast cancer.Functional & integrative genomics · 2025Article
- Integrative Single-Cell and Machine Learning Analysis Reveals Immune Microenvironment Remodelling in Lymph Node Metastasis of Lung Adenocarcinoma.Journal of cellular and molecular medicine · 2025Article
- A method for the identification of lactate metabolism-related prognostic biomarkers and its validations in non-small cell lung cancer.Scientific reports · 2025Article
- Multi-omics dissection of fatty acid metabolism heterogeneity identifies PRDX1 as a prognostic marker in bladder cancer.Frontiers in immunology · 2025Article
- Cellular hierarchy framework based on single-cell and bulk RNA sequencing reveals fatty acid metabolic biomarker MYDGF as a therapeutic target for ccRCC.Frontiers in immunology · 2025Article
- The prognostic value of immune escape-related genes in lung adenocarcinoma.Translational cancer research · 2024Article
- Prognostic and immunotherapeutic potential of regulatory T cell-associated signature in ovarian cancer.Journal of cellular and molecular medicine · 2024Article
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- Unraveling the role of disulfidptosis-related LncRNAs in colon cancer: a prognostic indicator for immunotherapy response, chemotherapy sensitivity, and insights into cell death mechanisms.Frontiers in molecular biosciences · 2023Article
- Constructing a prognostic model for head and neck squamous cell carcinoma based on glucose metabolism related genes.Frontiers in endocrinology · 2023Article
- Deciphering Treg cell roles in esophageal squamous cell carcinoma: a comprehensive prognostic and immunotherapeutic analysis.Frontiers in molecular biosciences · 2023Article
- Uncovering the immune microenvironment and molecular subtypes of hepatitis B-related liver cirrhosis and developing stable a diagnostic differential model by machine learning and artificial neural networks.Frontiers in molecular biosciences · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: It has been suggested that lactate metabolism (LM) is crucial for the development of cancer. Using integrated single-cell RNA sequencing (scRNA-seq) analysis, we built predictive models based on LM-related genes (LMRGs) to propose novel targets for the treatment of LUAD patients. Methods: The most significant genes for LM were identified through the use of the AUCell algorithm and correlation analysis in conjunction with scRNA-seq analysis. To build risk models with superior predictive performance, cox- and lasso-regression were utilized, and these models were validated on multiple external independent datasets. We then explored the differences in the tumor microenvironment (TME), immunotherapy, mutation landscape, and enriched pathways between different risk groups. Finally, cell experiments were conducted to verify the impact of AHSA1 in LUAD. Results: A total of 590 genes that regulate LM were identified for subsequent analysis. Using cox- and lasso-regression, we constructed a 5-gene signature that can predict the prognosis of patients with LUAD. Notably, we observed differences in TME, immune cell infiltration levels, immune checkpoint levels, and mutation landscapes between different risk groups, which could have important implications for the clinical treatment of LUAD patients. Conclusion: Based on LMRGs, we constructed a prognostic model that can predict the efficacy of immunotherapy and provide a new direction for treating LUAD.
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