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October 2, 2025Current Cancer Drug Targets

Identification of the Immune Microenvironment, Mutation Burden, Immunotherapy, and Drug Sensitivity Related to Lung Adenocarcinoma Tumor Stem Cells via WGCNA

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Authors

QLQi LiuLWLiusheng WuMLMeiling Lü

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Overview

Analysis reveals mRNAsi correlates with immune microenvironment and tumor mutational burden in lung adenocarcinoma.

Key Points

  • mRNAsi levels were significantly elevated in lung adenocarcinoma compared to normal cells, indicating dedifferentiation.
  • The study identified correlations between mRNAsi, clinical parameters, and immune-related gene expression in LUAD.
  • Weighted gene co-expression network analysis (WGCNA) revealed significant modules related to mRNAsi, affecting tumor progression.
  • Prognostic modeling with SC-IRGs highlighted key genes that may serve as therapeutic targets for lung adenocarcinoma.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3183cbc991d0a2213chttps://doi.org/10.2174/0115680096337566250906092330
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma2025
  2. 2Identification of biomarkers based on ubiquitin-correlated genes for predicting immune profile and drug sensitivity in lung adenocarcinoma2025 · 1 citations
  3. 3Integrated systems biology reveals an 8-gene signature predicting early-stage lung adenocarcinoma progression and patient survival2025
  4. 4scRNA-Seq Combined with scPagwas Analysis Identifies GNG7 as a Core Gene in Lung Adenocarcinoma2025
  5. 5Computational Analyses Identified Three Diagnostic Biomarkers Associated With Programmed Cell Death for Lung Adenocarcinoma2025