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Machine-learning-guided single-cell transcriptomic interrogation identifies biomarkers and candidate therapeutics for immune-cold lung adenocarcinoma

2025-05-27

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<title>Abstract</title> <p>Background The heterogeneity of the tumor immune microenvironment (TME) significantly influences the efficacy of immunotherapy in lung adenocarcinoma (LUAD). However, a systematic classification framework to distinguish immune-inflamed (hot) and immune-desert (cold) tumors in LUAD remains lacking. Methods We performed consensus clustering based on immune gene expression profiles to st...

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Literature Corpus work
ce5ca247-8681-5029-a364-c8ccc5623671
DOI
10.21203/rs.3.rs-6629742/v1
Open publication

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Machine-learning-guided single-cell transcriptomic interrogation identifies biomarkers and candidate therapeutics for immune-cold lung adenocarcinomaDOI 10.21203/rs.3.rs-6629742/v1
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