ArticleJTCVS open2024
Glucose metabolism transcriptome clustering identifies subsets of resectable lung adenocarcinoma with different prognoses.
Article in JTCVS open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Will We Need a Novel Heuristic in Resectable Lung Cancer?: A Narrative Review.Current oncology (Toronto, Ont.) · 2026Review
- Metabolic marker profiling of circulating tumour cells in NSCLC patients treated with osimertinib: focus on MCT1 and MCT4.Therapeutic advances in medical oncology · 2026Article
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Authors and funding
3 authors.
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Abstract
Objectives: Reprogramming of energy metabolism is a well-established hallmark of cancer, with aerobic glycolysis classically considered a prominent feature. We investigate the heterogeneity in glucose metabolism pathways within resectable primary lung adenocarcinoma and its clinical significance. Methods: Using The Cancer Genome Atlas data, RNA expressions were extracted from 489 primary lung adenocarcinoma samples. Prognostic influence of glycolytic, aerobic, and mitochondrial markers (monocarboxylate transporter [ Results: Classical statistical approach showed that higher expression of Conclusions: This study demonstrates the existence of distinct glucose metabolism clusters in resectable lung adenocarcinoma, providing valuable prognostic information. The findings highlight the potential relevance of considering metabolic profiles when designing strategies for reprogramming energy metabolism. Further studies are warranted to validate these findings in different cancer types and populations.
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