N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma
Colon adenocarcinoma (COAD) is a prevalent malignant tumor that severely threatens human health across the globe. Immunotherapy is an essential need for patients with COAD. N7-methylguanosine (m7G) has been associated with human diseases, and non-coding RNAs (lncRNAs) regulate various tumor-related...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.951452/full |
| _version_ | 1828405232746364928 |
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| author | Zhichao Cheng Zhichao Cheng Zhichao Cheng Jiaqi Wang Yixin Xu Tao Jiang Zhenyu Xue Shuai Li Ying Zhao Hu Song Jun Song Jun Song |
| author_facet | Zhichao Cheng Zhichao Cheng Zhichao Cheng Jiaqi Wang Yixin Xu Tao Jiang Zhenyu Xue Shuai Li Ying Zhao Hu Song Jun Song Jun Song |
| author_sort | Zhichao Cheng |
| collection | DOAJ |
| description | Colon adenocarcinoma (COAD) is a prevalent malignant tumor that severely threatens human health across the globe. Immunotherapy is an essential need for patients with COAD. N7-methylguanosine (m7G) has been associated with human diseases, and non-coding RNAs (lncRNAs) regulate various tumor-related biological processes. Nonetheless, the m7G-related lncRNAs involved in COAD regulation are limited. This study aims to construct the clustering features and prognostic model of m7G-related lncRNAs in COAD. First, The Cancer Genome Atlas (TCGA) database was used to identify m7G-related differentially expressed lncRNAs (DELs), based on which COAD cases could be classified into two subtypes. Subsequently, univariate Cox analysis was used to identify 9 prognostic m7G-related lncRNAs. Further, Five candidates were screened by LASSO-Cox regression to develop new models. The patients were divided into high-risk and low-risk groups based on the median risk score. Consequently, the Kaplan-Meier survival curve demonstrated a statistically significant overall survival (OS) between the high- and low-risk groups (P<0.001). Multivariate Cox regression analysis revealed that risk score is an independent prognostic factor in COAD patients (P<0.001). This confirms the clinical applicability of the model. Additionally, we performed Gene Set Enrichment Analysis (GSEA), which uncovered the biological and functional differences between risk subgroups, i.e., enrichment of immune-related diseases in the high-risk group and enrichment of metabolic-related pathways in the low-risk group. In a drug sensitivity analysis, high-risk group were more sensitive to some chemotherapeutics and targeted drugs than low-risk group. Eventually, the stability of the model was confirmed by qRT-PCR. Our study unraveled the features of different immune states of COAD and established a prognostic model, including five m7G-related lncRNAs for COAD patients. These results will bolster clinical treatment and survival prediction of COAD. |
| first_indexed | 2024-12-10T10:49:29Z |
| format | Article |
| id | doaj.art-d66053bb8e1242b3ba13d11849cebdf9 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-10T10:49:29Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-d66053bb8e1242b3ba13d11849cebdf92022-12-22T01:52:04ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-09-011210.3389/fonc.2022.951452951452N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinomaZhichao Cheng0Zhichao Cheng1Zhichao Cheng2Jiaqi Wang3Yixin Xu4Tao Jiang5Zhenyu Xue6Shuai Li7Ying Zhao8Hu Song9Jun Song10Jun Song11The Graduate School, Xuzhou Medical University, Xuzhou, Jiangsu, ChinaDepartment of General Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, ChinaInstitute of Digestive Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, ChinaDepartment of General Surgery, Southwest Hospital, Third Military Medical University, Chongqing, ChinaDepartment of General Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, ChinaDepartment of General Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, ChinaInstitute of Digestive Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, ChinaInstitute of Digestive Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, ChinaInstitute of Digestive Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, ChinaDepartment of General Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, ChinaDepartment of General Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, ChinaInstitute of Digestive Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, ChinaColon adenocarcinoma (COAD) is a prevalent malignant tumor that severely threatens human health across the globe. Immunotherapy is an essential need for patients with COAD. N7-methylguanosine (m7G) has been associated with human diseases, and non-coding RNAs (lncRNAs) regulate various tumor-related biological processes. Nonetheless, the m7G-related lncRNAs involved in COAD regulation are limited. This study aims to construct the clustering features and prognostic model of m7G-related lncRNAs in COAD. First, The Cancer Genome Atlas (TCGA) database was used to identify m7G-related differentially expressed lncRNAs (DELs), based on which COAD cases could be classified into two subtypes. Subsequently, univariate Cox analysis was used to identify 9 prognostic m7G-related lncRNAs. Further, Five candidates were screened by LASSO-Cox regression to develop new models. The patients were divided into high-risk and low-risk groups based on the median risk score. Consequently, the Kaplan-Meier survival curve demonstrated a statistically significant overall survival (OS) between the high- and low-risk groups (P<0.001). Multivariate Cox regression analysis revealed that risk score is an independent prognostic factor in COAD patients (P<0.001). This confirms the clinical applicability of the model. Additionally, we performed Gene Set Enrichment Analysis (GSEA), which uncovered the biological and functional differences between risk subgroups, i.e., enrichment of immune-related diseases in the high-risk group and enrichment of metabolic-related pathways in the low-risk group. In a drug sensitivity analysis, high-risk group were more sensitive to some chemotherapeutics and targeted drugs than low-risk group. Eventually, the stability of the model was confirmed by qRT-PCR. Our study unraveled the features of different immune states of COAD and established a prognostic model, including five m7G-related lncRNAs for COAD patients. These results will bolster clinical treatment and survival prediction of COAD.https://www.frontiersin.org/articles/10.3389/fonc.2022.951452/fullcolon adenocarcinomam7GlncRNAhot tumorcold tumormodel |
| spellingShingle | Zhichao Cheng Zhichao Cheng Zhichao Cheng Jiaqi Wang Yixin Xu Tao Jiang Zhenyu Xue Shuai Li Ying Zhao Hu Song Jun Song Jun Song N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma Frontiers in Oncology colon adenocarcinoma m7G lncRNA hot tumor cold tumor model |
| title | N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma |
| title_full | N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma |
| title_fullStr | N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma |
| title_full_unstemmed | N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma |
| title_short | N7-methylguanosine-related lncRNAs: Distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma |
| title_sort | n7 methylguanosine related lncrnas distinction between hot and cold tumors and construction of predictive models in colon adenocarcinoma |
| topic | colon adenocarcinoma m7G lncRNA hot tumor cold tumor model |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.951452/full |
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