ArticleOncology letters2026
Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses.
Article in Oncology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 authors.
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Abstract
The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates antitumor immunity, although the underlying mechanisms remain unclear. The present study investigates the role of polyamine metabolism-related genes (PMRGs) in LUAD using transcriptomic data, single-cell RNA sequencing (scRNA-seq) and Mendelian randomization. Differentially expressed PMRGs were identified through differential expression analysis and weighted gene co-expression network analysis. Prognostic genes were selected via Cox regression and least absolute shrinkage and selection operator regression to construct a risk model. Immune infiltration, machine learning and scRNA-seq were employed to explore molecular mechanisms whilst reverse transcription-quantitative PCR (RT-qPCR) validated gene expression in LUAD tissues. A nomogram incorporating risk scores assisted in predicting LUAD prognosis (area under the curve >0.6). Distinct immune cell profiles, particularly involving B cells and CD4
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