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基于 14 个缺氧相关基因鉴定结肠癌缺氧相关特征以评估肿瘤免疫微环境和预测预后
Authors Chen P , Li Z, Liang Y, Wei M, Jiang H, Chen S, Zhao Z
Received 2 February 2023
Accepted for publication 30 May 2023
Published 16 June 2023 Volume 2023:16 Pages 2503—2518
DOI https://doi.org/10.2147/IJGM.S407005
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Scott Fraser
Purpose: Colon cancer is the main malignant tumor of the digestive tract. Hypoxia is highly related to the occurrence, progression and tumor immune microenvironment (TIME) of cancer. The aim of this study was to identify a hypoxia-associated signature with high accuracy for predicting the prognosis and TIME of colon cancer.
Methods: Download colon cancer data from the GEO and TCGA databases. A novel hypoxia risk model was identified to predict the prognosis of colon cancer patients. Subsequently, GSEA, TIME and mutation analysis were performed in the hypoxia high and low risk score groups. Finally, the signature gene ANKZF1 was selected for functional verification at the cellular level.
Results: A novel hypoxia risk model was identified. The risk score was significantly associated with poorer overall survival in colon cancer, and could be used as an independent prognostic factor for colon cancer. GSEA analysis found that the processes related to stimulate tumor proliferation and anti-apoptosis were significantly enriched in the hypoxia high risk score group. The expression of immunosuppressive cells and most immune checkpoints in the high risk score group was significantly higher than that in the low risk score group. In vitro cell experiments showed that knockdown the expression of ANKZF1 could inhibit the proliferation, migration and invasion of colon cancer cells.
Conclusion: Hypoxia plays an important role in evaluating the TIME and predicting the prognosis of colon cancer.
Keywords: colon cancer, hypoxia, prognosis, risk score, tumor immune microenvironment