Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer

Frontiers in Immunology

Immunology

Haiyang Kong¹  Qingyu Meng²  Yanjun Zhang²  Yawen Chen³  Chunxi Wang⁴  Xiaohui Huang⁴  Dekang Zhang⁵  Xian Wang⁶  Longquan Xiang⁷  Xueyang Wang⁸ 

[1] Department of General Surgery, Qufu Hospital of Traditional Chinese Medicine, Qufu, China;Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, China;Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, China;Department of Graduate ,Medical School of Chinese PLA, Beijing, China;Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, China;Department of Health Management, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China;Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, China;Department of Radiology, the First Medical Center, Chinese PLA General Hospital, Beijing, China;Department of Health Management, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China;Department of Pathology, Jining NO.1 People’s Hospital, Shandong Jining, China;Department of Radiology, Yancheng Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, China;

关键词: colon cancer;    iron pendant disease modifier;    prognosis;    immunogenic characteristics;    prognostic risk model;   

DOI  :  10.3389/fimmu.2023.1100725

 received in 2022-11-17, accepted in 2023-05-02,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundWe explored the prognostic and immunogenic characteristics of iron pendant disease regulators in colon cancer to provide a scientific basis for the prediction of tumor prognosis-related markers and potential immunotherapeutic drug targets.MethodsRNA sequencing and matched complete clinical information of colon cancer (COAD) were retrieved from the UCSC Xena database, and genomic and transcriptomic data of colon cancer from the TCGA database were downloaded. Then univariate and multifactorial Cox regression were used to process these data. The prognostic factors were analyzed by single-factor and multi-factor Cox regression, followed by Kaplan-Meier survival curves with the aid of R software “survival” package. Then we use FireBrowse online analysis tool to analyze the expression variation of all cancer genes, and draw a histogram according to the influencing factors to predict the 1, 3, and 5 year survival rates of patients.ResultsThe results show that age, tumor stage and iron death score were significantly correlated with prognosis (p<0.05). Further multivariate cox regression analysis confirmed that age, tumor stage and iron death score were still significantly correlated with prognosis (p<0.05); The calibration curve results show that the deviation between the predicted values of 1 year, 3 years and 5 years and the diagonal of the figure is very small; the ROC curve results show that the AUC values of the 1-year and 5-year ROC curves of the bar graph are high; the DCA curve results show that the net yield of the bar graph is the largest; The scores of T cells and B cells in the high iron death score group were significantly lower than those in the low iron death score group, and the activities of immune related pathways were significantly reduced. There was a significant difference in the iron death score between the iron death molecular subtype and the gene cluster subtype.ConclusionsThe model showed a superior response to immunotherapy in the high-risk group, revealing a potential relationship between iron death and tumor immunotherapy, which will provide new ideas for the treatment and prognostic assessment of colon cancer patients.

【 授权许可】

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Copyright © 2023 Wang, Meng, Chen, Zhang, Huang, Xiang, Kong, Wang, Wang and Zhang