Metabolomic and Transcriptomic Profiling Identified Significant Genes in Thymic Epithelial Tumor

Metabolites

Yang Zhou¹  Guangquan Xu²  Siyang Liu²  Dejing Huang²  Enyu Tang²  Zhiming Zhang²  Rixin Zhang²  Tong Gao²  Tianze Zhang² 

[1] Department of Cardiac Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China;Department of Thoracic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China;

关键词: thymic epithelial tumors;    metabolomics;    transcriptomic;    metabolic score;    prognosis;    cancer metabolism;   

DOI  :  10.3390/metabo12060567

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown