Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor
Thymomas and thymic carcinomas are malignant thymic epithelial tumors (TETs) with poor outcomes if non-resectable. However, the tumorigenesis, especially the metabolic mechanisms involved, is poorly studied. Untargeted metabolomics analysis was utilized to screen for differential metabolic profiles...
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MDPI AG
2022-06-01
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| Series: | Metabolites |
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| author | Enyu Tang Yang Zhou Siyang Liu Zhiming Zhang Rixin Zhang Dejing Huang Tong Gao Tianze Zhang Guangquan Xu |
| author_facet | Enyu Tang Yang Zhou Siyang Liu Zhiming Zhang Rixin Zhang Dejing Huang Tong Gao Tianze Zhang Guangquan Xu |
| author_sort | Enyu Tang |
| collection | DOAJ |
| description | Thymomas and thymic carcinomas are malignant thymic epithelial tumors (TETs) with poor outcomes if non-resectable. However, the tumorigenesis, especially the metabolic mechanisms involved, is poorly studied. Untargeted metabolomics analysis was utilized to screen for differential metabolic profiles between thymic cancerous tissues and adjunct noncancerous tissues. Combined with transcriptomic data, we comprehensively evaluated the metabolic patterns of TETs. Metabolic scores were constructed to quantify the metabolic patterns of individual tumors. Subsequent investigation of distinct clinical outcomes and the immune landscape associated with the metabolic scores was conducted. Two distinct metabolic patterns and differential metabolic scores were identified between TETs, which were enriched in a variety of biological pathways and correlated with clinical outcomes. In particular, a high metabolic score was highly associated with poorer survival outcomes and immunosuppressive status. More importantly, the expression of two prognostic genes (ASNS and BLVRA) identified from differential metabolism-related genes was significantly associated with patient survival and may play a key role in the tumorigenesis of TETs. Our findings suggest that differential metabolic patterns in TETs are relevant to tumorigenesis and clinical outcome. Specific transcriptomic alterations in differential metabolism-related genes may serve as predictive biomarkers of survival outcomes and potential targets for the treatment of patients with TETs. |
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| issn | 2218-1989 |
| language | English |
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| publishDate | 2022-06-01 |
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| spelling | doaj.art-c587bc8d41fa465f8e7129a6b8263d012023-11-23T17:56:48ZengMDPI AGMetabolites2218-19892022-06-0112656710.3390/metabo12060567Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial TumorEnyu Tang0Yang Zhou1Siyang Liu2Zhiming Zhang3Rixin Zhang4Dejing Huang5Tong Gao6Tianze Zhang7Guangquan Xu8Department of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Cardiac Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaDepartment of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, ChinaThymomas and thymic carcinomas are malignant thymic epithelial tumors (TETs) with poor outcomes if non-resectable. However, the tumorigenesis, especially the metabolic mechanisms involved, is poorly studied. Untargeted metabolomics analysis was utilized to screen for differential metabolic profiles between thymic cancerous tissues and adjunct noncancerous tissues. Combined with transcriptomic data, we comprehensively evaluated the metabolic patterns of TETs. Metabolic scores were constructed to quantify the metabolic patterns of individual tumors. Subsequent investigation of distinct clinical outcomes and the immune landscape associated with the metabolic scores was conducted. Two distinct metabolic patterns and differential metabolic scores were identified between TETs, which were enriched in a variety of biological pathways and correlated with clinical outcomes. In particular, a high metabolic score was highly associated with poorer survival outcomes and immunosuppressive status. More importantly, the expression of two prognostic genes (ASNS and BLVRA) identified from differential metabolism-related genes was significantly associated with patient survival and may play a key role in the tumorigenesis of TETs. Our findings suggest that differential metabolic patterns in TETs are relevant to tumorigenesis and clinical outcome. Specific transcriptomic alterations in differential metabolism-related genes may serve as predictive biomarkers of survival outcomes and potential targets for the treatment of patients with TETs.https://www.mdpi.com/2218-1989/12/6/567thymic epithelial tumorsmetabolomicstranscriptomicmetabolic scoreprognosiscancer metabolism |
| spellingShingle | Enyu Tang Yang Zhou Siyang Liu Zhiming Zhang Rixin Zhang Dejing Huang Tong Gao Tianze Zhang Guangquan Xu Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor Metabolites thymic epithelial tumors metabolomics transcriptomic metabolic score prognosis cancer metabolism |
| title | Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor |
| title_full | Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor |
| title_fullStr | Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor |
| title_full_unstemmed | Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor |
| title_short | Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor |
| title_sort | metabolomic and transcriptomic profiling identified significant genes in thymic epithelial tumor |
| topic | thymic epithelial tumors metabolomics transcriptomic metabolic score prognosis cancer metabolism |
| url | https://www.mdpi.com/2218-1989/12/6/567 |
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