ABSTRACT
Context: Increasing evidence has indicated an association between immune cell infiltration in lung adenocarcinoma (LUAD) and clinical outcomes. Aims: This study aimed to investigate the effect of 22 tumor-infiltrating immune cells (TIICs) on the prognosis of patients with LUAD. Settings and Design: This was a case–control study. Materials and Methods: The CIBERSORT algorithm calculated the proportion of cases from the Cancer Genome Atlas (TCGA) cohort. Cox regression analysis evaluated the effect of TIICs on the prognosis of LUAD. The immune risk score model was constructed based on a statistical correlation. Multivariate cox regression analysis investigated independent factors. P < 0.05 was considered to be statistically significant. Results: Certain immune cells had differential infiltration between normal tissues and LUAD. Univariate Cox regression analysis revealed that four immune cell types were statistically correlated with LUAD-related survival risk, and an immune risk scoring model was constructed. The results indicated that patients in the high-risk group were associated with poor outcomes. In addition, the multivariate cox analysis revealed that the immune risk scoring model was an independent factor for LUAD prognosis prediction. Ultimately, a nomogram was established to comprehensively predict the survival of LUAD patients. Conclusions: TIICs played an essential role in the prognosis of LUAD. Furthermore, the immune risk score was a poor predictive factor of LUAD, and the established model was reliable in predicting the prognosis of LUAD
Subject(s)
Humans , Early Detection of Cancer , Neoplasms , Tomography, X-Ray Computed , Mass ScreeningABSTRACT
BACKGROUND: The role of interleukin family in colon cancer remained controversial. The purpose of this study was to investigate the association between interleukin family and colon cancer progression through bioinformatics methods and to validate such association in clinical patients. METHODS: A total of 15 differentially expressed interleukins between the colon cancer tissue and normal colon tissue were evaluated from the Cancer Genome Atlas (TCGA) database with R software and only interleukin-7 (IL-7) was significantly associated with survival. The signaling pathway associated with IL-7 was then investigated using gene enrichment analysis. In addition, subsets of TNM were analyzed in detail and univariate and multivariate COX regression analysis were conducted. Finally, we performed western blotting, immunohistochemistry, cell proliferation and cell apoptosis analysis to examine the expression of IL-7 in patients with intestinal cancer. RESULTS: The study demonstrated that IL-7 could inhibit the progression of colon cancer. In addition, IL-7 was found to be associated with overall survival (OS) and pathological stage. Further analysis of IL-7 expression with clinical data indicated that IL-7 was a key factor in inhibiting colon cancer progression. CONCLUSION: IL-7 was a key factor in inhibiting the progression of colon cancer and was closely related to overall survival.