Mathematical Biosciences and Engineering (Apr 2023)

Identification of coagulation-associated subtypes of lung adenocarcinoma and establishment of prognostic models

  • Mengyang Han,
  • Xiaoli Wang ,
  • Yaqi Li,
  • Jianjun Tan,
  • Chunhua Li,
  • Wang Sheng

DOI
https://doi.org/10.3934/mbe.2023470
Journal volume & issue
Vol. 20, no. 6
pp. 10626 – 10658

Abstract

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Lung adenocarcinoma (LUAD), the most common subtype of lung cancer, is a global health challenge with high recurrence and mortality rates. The coagulation cascade plays an essential role in tumor disease progression and leads to death in LUAD. We differentiated two coagulation-related subtypes in LUAD patients in this study based on coagulation pathways collected from the KEGG database. We then demonstrated significant differences between the two coagulation-associated subtypes regarding immune characteristics and prognostic stratification. For risk stratification and prognostic prediction, we developed a coagulation-related risk score prognostic model in the Cancer Genome Atlas (TCGA) cohort. The GEO cohort also validated the predictive value of the coagulation-related risk score in terms of prognosis and immunotherapy. Based on these results, we identified coagulation-related prognostic factors in LUAD, which may serve as a robust prognostic biomarker for therapeutic and immunotherapeutic efficacy. It may contribute to clinical decision-making in patients with LUAD.

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