A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related Genes
Metabolic reprogramming is a hallmark of malignancy. Understanding the characteristics of metabolic reprogramming in esophageal squamous cell carcinoma (ESCC) helps uncover novel targets for cancer progression. In this study, 880 metabolism-related genes were identified from microarray data and then...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.772145/full |
| _version_ | 1819045630586126336 |
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| author | Yu Liu Liyu Wang Lingling Fang Hengchang Liu He Tian Yujia Zheng Tao Fan Chunxiang Li Jie He |
| author_facet | Yu Liu Liyu Wang Lingling Fang Hengchang Liu He Tian Yujia Zheng Tao Fan Chunxiang Li Jie He |
| author_sort | Yu Liu |
| collection | DOAJ |
| description | Metabolic reprogramming is a hallmark of malignancy. Understanding the characteristics of metabolic reprogramming in esophageal squamous cell carcinoma (ESCC) helps uncover novel targets for cancer progression. In this study, 880 metabolism-related genes were identified from microarray data and then filtered to divide patients into two subgroups using consensus clustering, which exhibits significantly different overall survival. After a differential analysis between two subtypes, 3 genes were screened out to construct a two subtypes decision model on the training cohort (GSE53624), defined as high-risk and low-risk subtypes. These risk models were then verified in two public databases (GSE53622 and TCGA-ESCC), an independent cohort of 49 ESCC patients by RT-qPCR and an external cohort of 95 ESCC patients by immunohistochemistry analysis (IHC). Furthermore, the immune cell infiltration of regulatory T cells (Tregs) and plasma cells showed a significant difference between the high and low-risk subtypes in the IHC experiment with 119 ESCC patients. In conclusion, our study indicated that three metabolism-related prognostic genes could stratify patients into subgroups and were associated with immune infiltration, clinical features and clinical outcomes. |
| first_indexed | 2024-12-21T10:31:38Z |
| format | Article |
| id | doaj.art-8607caa3f40248a4b7e532383ee5df10 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-21T10:31:38Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-8607caa3f40248a4b7e532383ee5df102022-12-21T19:07:11ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-10-011110.3389/fonc.2021.772145772145A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related GenesYu Liu0Liyu Wang1Lingling Fang2Hengchang Liu3He Tian4Yujia Zheng5Tao Fan6Chunxiang Li7Jie He8Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaMetabolic reprogramming is a hallmark of malignancy. Understanding the characteristics of metabolic reprogramming in esophageal squamous cell carcinoma (ESCC) helps uncover novel targets for cancer progression. In this study, 880 metabolism-related genes were identified from microarray data and then filtered to divide patients into two subgroups using consensus clustering, which exhibits significantly different overall survival. After a differential analysis between two subtypes, 3 genes were screened out to construct a two subtypes decision model on the training cohort (GSE53624), defined as high-risk and low-risk subtypes. These risk models were then verified in two public databases (GSE53622 and TCGA-ESCC), an independent cohort of 49 ESCC patients by RT-qPCR and an external cohort of 95 ESCC patients by immunohistochemistry analysis (IHC). Furthermore, the immune cell infiltration of regulatory T cells (Tregs) and plasma cells showed a significant difference between the high and low-risk subtypes in the IHC experiment with 119 ESCC patients. In conclusion, our study indicated that three metabolism-related prognostic genes could stratify patients into subgroups and were associated with immune infiltration, clinical features and clinical outcomes.https://www.frontiersin.org/articles/10.3389/fonc.2021.772145/fullesophageal squamous cell carcinomaimmune infiltrationmetabolismprognosisbioinformatic |
| spellingShingle | Yu Liu Liyu Wang Lingling Fang Hengchang Liu He Tian Yujia Zheng Tao Fan Chunxiang Li Jie He A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related Genes Frontiers in Oncology esophageal squamous cell carcinoma immune infiltration metabolism prognosis bioinformatic |
| title | A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related Genes |
| title_full | A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related Genes |
| title_fullStr | A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related Genes |
| title_full_unstemmed | A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related Genes |
| title_short | A Multi-Center Validated Subtyping Model of Esophageal Cancer Based on Three Metabolism-Related Genes |
| title_sort | multi center validated subtyping model of esophageal cancer based on three metabolism related genes |
| topic | esophageal squamous cell carcinoma immune infiltration metabolism prognosis bioinformatic |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2021.772145/full |
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