ArticleDiscover oncology2024
Construction of a novel lipid drop-mitochondria-associated genetic profile for predicting the survival and prognosis of lung adenocarcinoma.
Article in Discover oncology, 2024. 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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Who cites it
4 citing papers in PubMed.
- Deciphering the Molecular Basis: Integrative Multi-Method Analysis of Bioactive Constituents and Their Anti-Lung Cancer Mechanisms in Clinical Traditional Chinese Medicine Formulations.Chemistry & biodiversity · 2026Article
- Development of a risk model for outcome prediction and treatment guidance in lung adenocarcinoma based on hypoxia, glycolysis, and lymph node metastasis-related genes.Discover oncology · 2026Article
- Lipid droplet-mitochondria contact sites as druggable spatial-pharmacology targets in respiratory disease: cross-cell-type mechanisms and translational strategies.Frontiers in cell and developmental biology · 2026Review
- Interactions between lipid droplets and mitochondria in metabolic diseases.Lipids in health and disease · 2025Review
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Authors and funding
6 authors.
Funding
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Abstract
backgroundLung adenocarcinoma (LUAD) is one of the most common malignant tumors. Although several treatments have been proposed, the long-term prognosis of this cancer is poor. Lipid droplets and mitochondria are important organelles that regulate energy metabolism in cells and are postulated to promote the occurrence and progression of tumors. However, few risk prediction models have been constructed based on lipid drop-mitochondria-related genes (LMRGs).
methodsIn this study, we constructed a lipid drop-mitochondrial (LD-M) risk score model based on data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Biological functions and clinical benefits associated with the various risk scores were analyzed using R software, GraphPad Prism 9, and the online database system.
resultsAn LD-M risk score model comprising ABLIM3, AK4, CAV2, CPS1, CYP24A1, DLGAP5, FGR, and SH3BP5, was developed and its predictive power was validated. The risk score was closely associated with the cell cycle. Immunophenoscore (IPS) and Tumor immune dysfunction and exclusion (TIDE) results demonstrated that the low-risk group was more sensitive to immunotherapy. Drug sensitivity analysis indicated that BMS-754807, ZM447439, SB216763, and other drugs had lower IC50 values in the low-risk group.
conclusionOur results suggest that the LD-M risk score is an effective prognostic indicator for individualized treatment of LUAD.
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