Affiliation:
1. Shandong University of Traditional Chinese Medicine
Abstract
Abstract
Objective: Lung adenocarcinoma (LC), the main type of non-small cell lung cancer, has a 5-year survival rate of only 14.6%. Tumor angiogenesis is the primary factor leading to the progression of LC. This study aimed to discuss the role of angiogenesis-related genes(ARGs) in the development and diagnosis of LC.
Methods: Clinical and transcriptomic data of LC patients were downloaded from TCGA and GEO databases and divided into training cohorts and validation cohorts. Combined with the ARGs of the Molecular Signatures Database, cluster analysis was performed to identify new clusrer subgroups. Enrichment analyses were performed to elucidate the underlying mechanisms of subpopulation differences. MCPCounter, CIBERSORT and xCell analysis was used to determine the tumor immune microenvironment (TIM) and the immune status of identified subgroups. Lasso algorithm and multivariate Cox regression analysis were used to construct the prognostic risk model, and combined with the clinical information of patients with LC to verify the effectiveness of the risk model.
Results: We identified 2 cluster subgroups that could significantly predict differential survival based on LC survival prognostic genes and ARGs. Among them, cluster 2 showed a better prognosis and was associated with a high immune score, a high abundance of immune infiltrating cells, and a relatively high immune status. Enrichment analysis revealed that DEGs between the two subgroups were mainly enriched in angiogenesis and immune related pathways. Combined with clinical features, higher risk scores were positively associated with LC worsening of disease progression, predicting poor survival. The validation cohort GSE68465 corroborates the validity of the risk model.
Conclusion: The abnormal expression of ARGs is closely related to the TIM of LC patients. The ARG risk model we constructed can be used to accurately predict the survival prognosis of LC.
Publisher
Research Square Platform LLC
Reference46 articles.
1. Contribution to Tumor Angiogenesis From Innate Immune Cells Within the Tumor Microenvironment: Implications for Immunotherapy;ALBINI A;Front Immunol,2018
2. xCell: digitally portraying the tissue cellular heterogeneity landscape;ARAN D;Genome Biol,2017
3. BONANNO L, ZULATO E, PAVAN A, ATTILI I, PASELLO G, CONTE P, INDRACCOLO S. 2019. LKB1 and Tumor Metabolism: The Interplay of Immune and Angiogenic Microenvironment in Lung Cancer.Int J Mol Sci,20.
4. Dysregulation of the basal RNA polymerase transcription apparatus in cancer;BYWATER MJ;Nat Rev Cancer,2013
5. CALVAYRAC O, PONS PRADINESA, E., MAZIÈRES, J., GUIBERT N. 2017. Molecular biomarkers for lung adenocarcinoma.Eur Respir J,49.