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Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets

Colorectal cancer (COAD) is ranked as the third most common cancer and second in terms of cancer-related deaths worldwide. Due to its poor overall survival and prognosis, the incidents of COAD are significantly increasing. Although treatment methods have greatly been improved in the last decade, it...

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Autores principales: Wen, Huijuan, Li, Fazhan, Bukhari, Ihtisham, Mi, Yang, Guo, Chenxu, Liu, Bin, Zheng, Pengyuan, Liu, Simeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986440/
https://www.ncbi.nlm.nih.gov/pubmed/35401882
http://dx.doi.org/10.1155/2022/7932655
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author Wen, Huijuan
Li, Fazhan
Bukhari, Ihtisham
Mi, Yang
Guo, Chenxu
Liu, Bin
Zheng, Pengyuan
Liu, Simeng
author_facet Wen, Huijuan
Li, Fazhan
Bukhari, Ihtisham
Mi, Yang
Guo, Chenxu
Liu, Bin
Zheng, Pengyuan
Liu, Simeng
author_sort Wen, Huijuan
collection PubMed
description Colorectal cancer (COAD) is ranked as the third most common cancer and second in terms of cancer-related deaths worldwide. Due to its poor overall survival and prognosis, the incidents of COAD are significantly increasing. Although treatment methods have greatly been improved in the last decade, it is still not good enough to have satisfactory treatment outcomes. In recent years, immunotherapy has been successful to some extent in the treatment of many cancers but still, many patients do not respond to immunotherapy. Therefore, it is essential to have a deeper understanding of the immune characteristics of the tumor microenvironment and identify meaningful immune targets. In terms of immune targets, COAD has been poorly explored; thus, in the current study, based on the immune cell infiltration score and differentially expressed genes, COAD tumors were classified into hot and cold tumors. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify hub genes, construct a prognostic model, and screen potential immune targets. In total, 12 genes (CLK3, CYSLTR2, GJA10, CYP4Z1, FAM185A, LINC00324, EEF1A1P34, EEF1B2P8, PTCSC3, MIR6780A, LINC01666, and RNU6.661P) differentially expressed between hot and cold tumors were screened out. Among them, CYSLTR2 was considered as a potential candidate gene, because it showed a significant positive correlation with immune cell infiltration and immune checkpoints (PDCD1, CD274, and CTLA4). Finally, we constructed and validated a new prognostic model for COAD showing 0.854 AUC for the ROC curve, and these results provide sufficient potential to choose CYSLTR2 as an important immune target for the prognosis of COAD.
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spelling pubmed-89864402022-04-07 Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets Wen, Huijuan Li, Fazhan Bukhari, Ihtisham Mi, Yang Guo, Chenxu Liu, Bin Zheng, Pengyuan Liu, Simeng Dis Markers Research Article Colorectal cancer (COAD) is ranked as the third most common cancer and second in terms of cancer-related deaths worldwide. Due to its poor overall survival and prognosis, the incidents of COAD are significantly increasing. Although treatment methods have greatly been improved in the last decade, it is still not good enough to have satisfactory treatment outcomes. In recent years, immunotherapy has been successful to some extent in the treatment of many cancers but still, many patients do not respond to immunotherapy. Therefore, it is essential to have a deeper understanding of the immune characteristics of the tumor microenvironment and identify meaningful immune targets. In terms of immune targets, COAD has been poorly explored; thus, in the current study, based on the immune cell infiltration score and differentially expressed genes, COAD tumors were classified into hot and cold tumors. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify hub genes, construct a prognostic model, and screen potential immune targets. In total, 12 genes (CLK3, CYSLTR2, GJA10, CYP4Z1, FAM185A, LINC00324, EEF1A1P34, EEF1B2P8, PTCSC3, MIR6780A, LINC01666, and RNU6.661P) differentially expressed between hot and cold tumors were screened out. Among them, CYSLTR2 was considered as a potential candidate gene, because it showed a significant positive correlation with immune cell infiltration and immune checkpoints (PDCD1, CD274, and CTLA4). Finally, we constructed and validated a new prognostic model for COAD showing 0.854 AUC for the ROC curve, and these results provide sufficient potential to choose CYSLTR2 as an important immune target for the prognosis of COAD. Hindawi 2022-03-30 /pmc/articles/PMC8986440/ /pubmed/35401882 http://dx.doi.org/10.1155/2022/7932655 Text en Copyright © 2022 Huijuan Wen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wen, Huijuan
Li, Fazhan
Bukhari, Ihtisham
Mi, Yang
Guo, Chenxu
Liu, Bin
Zheng, Pengyuan
Liu, Simeng
Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets
title Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets
title_full Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets
title_fullStr Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets
title_full_unstemmed Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets
title_short Comprehensive Analysis of Colorectal Cancer Immunity and Identification of Immune-Related Prognostic Targets
title_sort comprehensive analysis of colorectal cancer immunity and identification of immune-related prognostic targets
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986440/
https://www.ncbi.nlm.nih.gov/pubmed/35401882
http://dx.doi.org/10.1155/2022/7932655
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