Immune Cell Infiltration and Clinical Significance of Angiogenesis-related Genes in Lung Adenocarcinoma

• Published in: Anticancer research Vol. 43; no. 10; pp. 4473 - 4489
• Main Authors: ZHAO, QI, REN, WEIXING, GAO, SHUPING, MU, NAN
• Format: Journal Article
• Language: English
• Published: Athens International Institute of Anticancer Research 01.10.2023
• Subjects: Adenocarcinoma; Angiogenesis; Antitumor agents; Basal cells; Cancer; Cell migration; Cell proliferation; Chemotherapy; Clinical significance; Clustering; Dkk1 protein; Gene expression; Gene set enrichment analysis; Genes; Immune checkpoint; Immune status; Immune system; Immunotherapy; Lung cancer; Lungs; Medical prognosis; Metastases; Microenvironments; Nomograms; Prognosis; Protein metabolism; Protein turnover; Risk; Signal transduction; Subgroups; Survival; Tumors; Wnt protein
• ISSN: 0250-7005; 1791-7530
• DOI: 10.21873/anticanres.16642

Background/Aim: Angiogenesis is one of the hallmarks of cancer. However, the role of molecular subtypes of angiogenesis-associated genes (AAGs) in the tumor immune microenvironment (TIME) of lung adenocarcinoma (LUAD) remains unclear. Materials and Methods: The expression of AAGs in patients with LUAD were studied. Consensus clustering was performed to identify new AAG-associated molecular subgroups. The TIME and immune status of the subgroups were analyzed. Functional enrichment analysis was performed on the differentially expression genes among the clustered subgroups to analyze their relationship with AAGs. Furthermore, a prognostic risk model and clinical nomogram associated with survival time were constructed. Risk scores of drug sensitivity, immune checkpoint molecules, tumor mutational burden, and tumor cell stemness were analyzed. Finally, a series of in vitro experiments were performed to investigate the role of dickkopf WNT signaling pathway inhibitor 1 (DKK1) in LUAD. Results: Two molecular subgroups with significantly different survival rates and TIME were identified. Immune checkpoint scores were higher in the subgroup with a worse prognosis. Moreover, differentially expressed genes were enriched in cell-cycle regulation, protein metabolism, and the immune microenvironment. The risk model and clinical nomogram constructed based on AAGs accurately predicted the prognosis of patients with LUAD. Patients with high-risk scores were less sensitive to chemotherapy but more sensitive to immunotherapy. DKK1 was highly expressed in basal cells and luminal cells. In addition, the knockdown of DKK1 reduced LUAD cell proliferation, invasion, and migration. Conclusion: Models based on AAGs can play an important role in predicting LUAD prognosis and immunotherapy effects. We further characterized the angiogenesis of TIME and studied the AAG DKK1. Our findings provide a theoretical basis for antitumor strategies targeting angiogenesis.