ArticleBioMed research international2022
Development of a Clinical Prognostic Model for Metabolism-Related Genes in Squamous Lung Cancer and Correlation Analysis of Immune Microenvironment.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Purinergic signal transduction and metabolic regulation by ENTPD5 and ENTPD6.Frontiers in endocrinology · 2026Review
- Systematic pan-cancer analysis reveals the prognostic and immunological roles of ectonucleoside triphosphate diphosphohydrolase 6.World journal of clinical oncology · 2025Article
- Identification ofJournal of the American Heart Association · 2024Article
- Prognostic significance and immunological role of HPRT1 in human cancers.Biomolecules & biomedicine · 2024Article
- Integrated Bulk and Single-cell RNA Sequencing Data Constructs and Validates a Prognostic Model for Non-small Cell Lung Cancer.Journal of Cancer · 2024Article
- Human Aldehyde Dehydrogenases: A Superfamily of Similar Yet Different Proteins Highly Related to Cancer.Cancers · 2023Review
- Exploring tumor-normal cross-talk with TranNet: Role of the environment in tumor progression.PLoS computational biology · 2023Article
- Exploring tumor-normal cross-talk with TranNet: role of the environment in tumor progression.bioRxiv : the preprint server for biology · 2023Article
- Editorial: Complexity of tumor microenvironment: A major culprit in cancer development, volume II.Frontiers in endocrinology · 2022Article
- Editorial: Complexity of tumor microenvironment: A major culprit in cancer development.Frontiers in endocrinology · 2022Article
- Aldehyde Dehydrogenase-1A1 (ALDH1A1): The Novel Regulator of Chemoresistance in Pancreatic Cancer Cells.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The incidence of squamous lung cancer (LUSC) has substantially increased. Systematic studies of metabolic genomic patterns are fundamental for the treatment and prediction of LUSC. Because cancer metabolism and immune cell metabolism have been studied in depth, metabolism and the state and function of immune cells have become key factors in tumor development. This also indicates that metabolic genes and the tumor immune microenvironment (TME) are crucial in tumor treatment. This study is aimed at dissecting the connection between TME and LUSC digestion-related qualities. Methods: The information used in this study was obtained from The Cancer Genome Atlas dataset. Metabolism-related genes in patients with LUSC were screened, and relevant clinical data were collated. Next, genes associated with prognosis were screened using univariate COX regression and LASSO regression analyses. Finally, a timer database study was conducted to analyze the molecular mechanisms of immune cell infiltration of LUSC prognosis-related metabolic genes at the immune cell level. Results: Nine metabolism-related genes were identified: Conclusion: Our study identified metabolic genes associated with the prognosis of LUSC, which are important markers for its diagnosis, clinically relevant assessments, and prognosis. The relationship between metabolic genes with prognostic impact and immune infiltration was also analyzed, and a metabolic gene-based clinical prediction model was identified, providing a new perspective for LUSC treatment.
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