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Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis

BACKGROUND: Colon cancer is the most common type of gastrointestinal cancer and has high morbidity and mortality. Colon adenocarcinoma (COAD) is the main pathological type of colon cancer, and much evidence has supported the correlation between the prognosis of COAD and the immune system. The curren...

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Detalles Bibliográficos
Autores principales: Luo, Jihang, Liu, Puyu, Wang, Leibo, Huang, Yi, Wang, Yuanyan, Geng, Wenjing, Chen, Duo, Bai, Yuju, Yang, Ze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654612/
https://www.ncbi.nlm.nih.gov/pubmed/33167940
http://dx.doi.org/10.1186/s12885-020-07532-7
Descripción
Sumario:BACKGROUND: Colon cancer is the most common type of gastrointestinal cancer and has high morbidity and mortality. Colon adenocarcinoma (COAD) is the main pathological type of colon cancer, and much evidence has supported the correlation between the prognosis of COAD and the immune system. The current study aimed to develop a robust prognostic immune-related gene pair (IRGP) model to estimate the overall survival of patients with COAD. METHODS: The gene expression profiles and clinical information of patients with colon adenocarcinoma were obtained from the TCGA and GEO databases and were divided into training and validation cohorts. Immune genes were selected that showed a significant association with prognosis. RESULTS: Among 1647 immune genes, a model with 17 IRGPs was built that was significantly associated with OS in the training cohort. In the training and validation datasets, the IRGP model divided patients into the high-risk group and low-risk group, and the prognosis of the high-risk group was significantly worse (P<0.001). Univariate and multivariate Cox proportional hazard analyses confirmed the feasibility of this model. Functional analysis confirmed that multiple tumor progression and stem cell growth-related pathways were upregulated in the high-risk groups. Regulatory T cells and macrophages M0 were significantly highly expressed in the high-risk group. CONCLUSION: We successfully constructed an IRGP model that can predict the prognosis of COAD, providing new insights into the treatment strategy of COAD. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12885-020-07532-7.