ArticleComputational and structural biotechnology journal2023
Mitochondrial energy metabolism correlates with an immunosuppressive tumor microenvironment and poor prognosis in esophageal squamous cell carcinoma.
Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolomic profiling of upper GI malignancies in blood and tissue: a systematic review and meta-analysis.Journal of cancer research and clinical oncology · 2024Pooled it
- Article
- Apolipoprotein E promotes papillary thyroid carcinoma progression by activating PINK1/Parkin-mediated mitophagy.Translational cancer research · 2026Article
- Expression Analysis of Mitochondrial Energy Metabolism-Related Genes Identifies IRS2 as a Key Modulator in M2 Synovial Macrophages of Osteoarthritis.Biomedicines · 2026Article
- Integrated Analysis of Proteomics and Metabolomics Uncovered the Anti-Inflammatory Mechanisms of Baicalin in CIA Rat FLS.Current issues in molecular biology · 2026Article
- Integrated metabolome and transcriptome analysis reveals ferroptosis involvement in cisplatin resistance of esophageal squamous cancer cell.Computational and structural biotechnology journal · 2026Article
- MicroRNA Enrichment and Docking-Based Evaluation of Ilomastat Targeting of MMP-2 in Esophageal Squamous Cell Carcinoma: Insights from a South African Cohort.Computational and structural biotechnology journal · 2026Article
- A novel lipid droplet-related prognostic signature reveals CIDEC as a key biomarker for pancreatic adenocarcinoma.Frontiers in oncology · 2026Article
- The metabolic crossroads: glycolysis in cancer and neurodegeneration.BMC neurology · 2025Article
- Identification of lipid metabolism-related signature in nonalcoholic fatty liver: evidences from transcriptomics and single cell RNA-sequencing analysis.European journal of medical research · 2025Article
- Pan-cancer and multi-omics analysis: NDUFA1 is a potential therapeutic target and prognostic marker for esophageal cancer.Cell biology and toxicology · 2025Article
- Mechanisms of tumor immunosuppressive microenvironment formation in esophageal cancer.World journal of gastroenterology · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Reprogramming of mitochondrial energy metabolism (MEM) is an important hallmark of tumorigenesis and cancer progression. Currently, there are no studies that have examined MEM in the tumor microenvironment (TME) of esophageal squamous cell carcinoma (ESCC), and relevant drug targets have not yet been identified. Methods: The ESCC single-cell transcriptome sequencing dataset, GSE145370, was analyzed, using the AUCell R package to screen for MEM-related genes in high-scoring cell populations. Monocle was used to infer cell differentiation and CellChat to analyze intercellular communication networks. Finally, transcription levels of prognostic genes were analyzed using a complementary DNA microarray from 15 patients with ESCC. Results: A total of 121 MEM-related genes were differentially expressed in seven cell populations in the TME, and four high-scoring cell populations were identified. As a result, the MEM state of T cells is significantly different from that of macrophages and epithelial cells, and signaling communication between T cells and macrophages is the strongest. These findings suggest that immunosuppression is related to metabolic reprogramming. Additionally, marker genes of high-scoring cells and the top10 receptor-ligand pairs may become new targets for rebuilding immune cell metabolism. Furthermore, the 4-MEM gene risk signature had good predictive power for overall survival and drug sensitivity. MAP1LC3A, APOE, APPL1, and NDUFA are novel potential immunotherapeutic targets for remodeling the TME. Finally, teal-time quantitative PCR was used to verify APOE and MAP1LC3A expression. Conclusion: MEM heterogeneity was observed in the immunosupressive TME of ESCC. Prognostic models based on MEM-related genes are helpful for screening early treatment patient groups and realizing personalized treatment. APOE and MAP1LC3A are potential target genes for the development of anti-ESCC drugs based on MEM-related genes.
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