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Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer

BACKGROUND: We 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. METHODS: RNA sequencing and matched complete cli...

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Autores principales: Wang, Xian, Meng, Qingyu, Chen, Yawen, Zhang, Yanjun, Huang, Xiaohui, Xiang, Longquan, Kong, Haiyang, Wang, Chunxi, Wang, Xueyang, Zhang, Dekang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251496/
https://www.ncbi.nlm.nih.gov/pubmed/37304284
http://dx.doi.org/10.3389/fimmu.2023.1100725
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author Wang, Xian
Meng, Qingyu
Chen, Yawen
Zhang, Yanjun
Huang, Xiaohui
Xiang, Longquan
Kong, Haiyang
Wang, Chunxi
Wang, Xueyang
Zhang, Dekang
author_facet Wang, Xian
Meng, Qingyu
Chen, Yawen
Zhang, Yanjun
Huang, Xiaohui
Xiang, Longquan
Kong, Haiyang
Wang, Chunxi
Wang, Xueyang
Zhang, Dekang
author_sort Wang, Xian
collection PubMed
description BACKGROUND: We 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. METHODS: RNA 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. RESULTS: The 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. CONCLUSIONS: The 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.
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spelling pubmed-102514962023-06-10 Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer Wang, Xian Meng, Qingyu Chen, Yawen Zhang, Yanjun Huang, Xiaohui Xiang, Longquan Kong, Haiyang Wang, Chunxi Wang, Xueyang Zhang, Dekang Front Immunol Immunology BACKGROUND: We 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. METHODS: RNA 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. RESULTS: The 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. CONCLUSIONS: The 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. Frontiers Media S.A. 2023-05-25 /pmc/articles/PMC10251496/ /pubmed/37304284 http://dx.doi.org/10.3389/fimmu.2023.1100725 Text en Copyright © 2023 Wang, Meng, Chen, Zhang, Huang, Xiang, Kong, Wang, Wang and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Wang, Xian
Meng, Qingyu
Chen, Yawen
Zhang, Yanjun
Huang, Xiaohui
Xiang, Longquan
Kong, Haiyang
Wang, Chunxi
Wang, Xueyang
Zhang, Dekang
Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer
title Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer
title_full Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer
title_fullStr Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer
title_full_unstemmed Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer
title_short Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer
title_sort prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251496/
https://www.ncbi.nlm.nih.gov/pubmed/37304284
http://dx.doi.org/10.3389/fimmu.2023.1100725
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