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Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs
Background: Colon cancer (CC) is a prevalent malignant tumor that affects people all around the world. In this study, N6-methylandenosine-related long non-coding RNAs (m6A-related lncRNAs) in 473 colon cancers and 41 adjacent tissues of CC patients from The Cancer Genome Atlas (TCGA) were investigat...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313068/ https://www.ncbi.nlm.nih.gov/pubmed/37396046 http://dx.doi.org/10.3389/fgene.2023.906346 |
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author | Wang, Yongfeng Zhang, Dongzhi Li, Yuxi Wu, Yue Ma, Haizhong Jiang, Xianglai Fu, Liangyin Zhang, Guangming Wang, Haolan Liu, Xingguang Cai, Hui |
author_facet | Wang, Yongfeng Zhang, Dongzhi Li, Yuxi Wu, Yue Ma, Haizhong Jiang, Xianglai Fu, Liangyin Zhang, Guangming Wang, Haolan Liu, Xingguang Cai, Hui |
author_sort | Wang, Yongfeng |
collection | PubMed |
description | Background: Colon cancer (CC) is a prevalent malignant tumor that affects people all around the world. In this study, N6-methylandenosine-related long non-coding RNAs (m6A-related lncRNAs) in 473 colon cancers and 41 adjacent tissues of CC patients from The Cancer Genome Atlas (TCGA) were investigated. Method: The Pearson correlation analysis was conducted to examine the m6A-related lncRNAs, and the univariate Cox regression analysis was performed to screen 38 prognostic m6A-related lncRNAs. The least absolute shrinkage and selection operator (LASSO) regression analysis were carried out on 38 prognostic lncRNAs to develop a 14 m6A-related lncRNAs prognostic signature (m6A-LPS) in CC. The availability of the m6A-LPS was evaluated using the Kaplan–Meier and Receiver Operating Characteristic (ROC) curves. Results: Three m6A modification patterns with significantly different N stages, survival time, and immune landscapes were identified. It has been discovered that the m6A-LPS, which is based on 14 m6A-related lncRNAs (TNFRSF10A-AS1, AC245041.1, AL513550.1, UTAT33, SNHG26, AC092944.1, ITGB1-DT, AL138921.1, AC099850.3, NCBP2-AS1, AL137782.1, AC073896.3, AP006621.2, AC147651.1), may represent a new, promising biomarker with great potential. It was re-evaluated in terms of survival rate, clinical features, tumor infiltration immune cells, biomarkers related to Immune Checkpoint Inhibitors (ICIs), and chemotherapeutic drug efficacy. The m6A-LPS has been revealed to be a novel potential and promising predictor for evaluating the prognosis of CC patients. Conclusion: This study revealed that the risk signature is a promising predictive indicator that may provide more accurate clinical applications in CC therapeutics and enable effective therapy strategies for clinicians. |
format | Online Article Text |
id | pubmed-10313068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103130682023-07-01 Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs Wang, Yongfeng Zhang, Dongzhi Li, Yuxi Wu, Yue Ma, Haizhong Jiang, Xianglai Fu, Liangyin Zhang, Guangming Wang, Haolan Liu, Xingguang Cai, Hui Front Genet Genetics Background: Colon cancer (CC) is a prevalent malignant tumor that affects people all around the world. In this study, N6-methylandenosine-related long non-coding RNAs (m6A-related lncRNAs) in 473 colon cancers and 41 adjacent tissues of CC patients from The Cancer Genome Atlas (TCGA) were investigated. Method: The Pearson correlation analysis was conducted to examine the m6A-related lncRNAs, and the univariate Cox regression analysis was performed to screen 38 prognostic m6A-related lncRNAs. The least absolute shrinkage and selection operator (LASSO) regression analysis were carried out on 38 prognostic lncRNAs to develop a 14 m6A-related lncRNAs prognostic signature (m6A-LPS) in CC. The availability of the m6A-LPS was evaluated using the Kaplan–Meier and Receiver Operating Characteristic (ROC) curves. Results: Three m6A modification patterns with significantly different N stages, survival time, and immune landscapes were identified. It has been discovered that the m6A-LPS, which is based on 14 m6A-related lncRNAs (TNFRSF10A-AS1, AC245041.1, AL513550.1, UTAT33, SNHG26, AC092944.1, ITGB1-DT, AL138921.1, AC099850.3, NCBP2-AS1, AL137782.1, AC073896.3, AP006621.2, AC147651.1), may represent a new, promising biomarker with great potential. It was re-evaluated in terms of survival rate, clinical features, tumor infiltration immune cells, biomarkers related to Immune Checkpoint Inhibitors (ICIs), and chemotherapeutic drug efficacy. The m6A-LPS has been revealed to be a novel potential and promising predictor for evaluating the prognosis of CC patients. Conclusion: This study revealed that the risk signature is a promising predictive indicator that may provide more accurate clinical applications in CC therapeutics and enable effective therapy strategies for clinicians. Frontiers Media S.A. 2023-06-16 /pmc/articles/PMC10313068/ /pubmed/37396046 http://dx.doi.org/10.3389/fgene.2023.906346 Text en Copyright © 2023 Wang, Zhang, Li, Wu, Ma, Jiang, Fu, Zhang, Wang, Liu and Cai. 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 | Genetics Wang, Yongfeng Zhang, Dongzhi Li, Yuxi Wu, Yue Ma, Haizhong Jiang, Xianglai Fu, Liangyin Zhang, Guangming Wang, Haolan Liu, Xingguang Cai, Hui Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs |
title | Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs |
title_full | Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs |
title_fullStr | Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs |
title_full_unstemmed | Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs |
title_short | Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs |
title_sort | constructing a novel signature and predicting the immune landscape of colon cancer using n6-methylandenosine-related lncrnas |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313068/ https://www.ncbi.nlm.nih.gov/pubmed/37396046 http://dx.doi.org/10.3389/fgene.2023.906346 |
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