Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics
Background: The low 5-year survival rate of oral squamous cell carcinoma (OSCC) suggests that new prognostic indicators need to be identified to aid the clinical management of patients. Methods: Saliva samples from OSCC patients and healthy controls were collected for proteomic and metabolomic seque...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | Translational Oncology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S193652332300058X |
| _version_ | 1797823368955691008 |
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| author | Zhitao Yao Wei An Maimaitituxun Tuerdi Jin Zhao |
| author_facet | Zhitao Yao Wei An Maimaitituxun Tuerdi Jin Zhao |
| author_sort | Zhitao Yao |
| collection | DOAJ |
| description | Background: The low 5-year survival rate of oral squamous cell carcinoma (OSCC) suggests that new prognostic indicators need to be identified to aid the clinical management of patients. Methods: Saliva samples from OSCC patients and healthy controls were collected for proteomic and metabolomic sequencing. Gene expressed profiling was downloaded from TCGA and GEO databases. After the differential analysis, proteins with a significant impact on the prognosis of OSCC patients were screened. Correlation analysis was performed with metabolites and core proteins were identified. Cox regression analysis was utilized to stratify OSCC samples based on core proteins. The prognostic predictive ability of the core protein was then evaluated. Differences in infiltration of immune cells between the different strata were identified. Results: There were 678 differentially expressed proteins (DEPs), 94 intersected DEPs among them by intersecting with differentially expressed genes in TCGA and GSE30784 dataset. Seven core proteins were identified that significantly affected OSCC patient survival and strongly correlated with differential metabolites (R2 > 0.8). The samples were divided into high- and low-risk groups according to median risk score. The risk score and core proteins were well prognostic factor in OSCC patients. Genes in high-risk group were enriched in Notch signaling pathway, epithelial mesenchymal transition (EMT), and angiogenesis. Core proteins were strongly associated with the immune status of OSCC patients. Conclusions: The results established a 7-protein signatures with the hope of early detection and the capacity for risk assessment of OSCC patient prognosis. Further providing more potential targets for the treatment of OSCC. |
| first_indexed | 2024-03-13T10:23:00Z |
| format | Article |
| id | doaj.art-9340f74f9cfc45b090262ba777b76156 |
| institution | Directory Open Access Journal |
| issn | 1936-5233 |
| language | English |
| last_indexed | 2024-03-13T10:23:00Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Translational Oncology |
| spelling | doaj.art-9340f74f9cfc45b090262ba777b761562023-05-20T04:29:45ZengElsevierTranslational Oncology1936-52332023-07-0133101672Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomicsZhitao Yao0Wei An1Maimaitituxun Tuerdi2Jin Zhao3Department of Trauma and Orthopedics, the First Affiliated Hospital of Xinjiang Medical University, No. 137 South Liyushan Road, Urumqi 830054, China; Oral Disease Institute of Xinjiang Uyghur Autonomous Region, No.137 South Liyushan Road, Urumqi 830054, ChinaDepartment of Trauma and Orthopedics, the First Affiliated Hospital of Xinjiang Medical University, No. 137 South Liyushan Road, Urumqi 830054, China; Oral Disease Institute of Xinjiang Uyghur Autonomous Region, No.137 South Liyushan Road, Urumqi 830054, ChinaDepartment of Trauma and Orthopedics, the First Affiliated Hospital of Xinjiang Medical University, No. 137 South Liyushan Road, Urumqi 830054, China; Oral Disease Institute of Xinjiang Uyghur Autonomous Region, No.137 South Liyushan Road, Urumqi 830054, ChinaDepartment of Trauma and Orthopedics, the First Affiliated Hospital of Xinjiang Medical University, No. 137 South Liyushan Road, Urumqi 830054, China; Oral Disease Institute of Xinjiang Uyghur Autonomous Region, No.137 South Liyushan Road, Urumqi 830054, China; Corresponding author at: Department of Trauma and Orthopedics, the First Affiliated Hospital of Xinjiang Medical University, No. 137 South Liyushan Road, Urumqi 830054, China.Background: The low 5-year survival rate of oral squamous cell carcinoma (OSCC) suggests that new prognostic indicators need to be identified to aid the clinical management of patients. Methods: Saliva samples from OSCC patients and healthy controls were collected for proteomic and metabolomic sequencing. Gene expressed profiling was downloaded from TCGA and GEO databases. After the differential analysis, proteins with a significant impact on the prognosis of OSCC patients were screened. Correlation analysis was performed with metabolites and core proteins were identified. Cox regression analysis was utilized to stratify OSCC samples based on core proteins. The prognostic predictive ability of the core protein was then evaluated. Differences in infiltration of immune cells between the different strata were identified. Results: There were 678 differentially expressed proteins (DEPs), 94 intersected DEPs among them by intersecting with differentially expressed genes in TCGA and GSE30784 dataset. Seven core proteins were identified that significantly affected OSCC patient survival and strongly correlated with differential metabolites (R2 > 0.8). The samples were divided into high- and low-risk groups according to median risk score. The risk score and core proteins were well prognostic factor in OSCC patients. Genes in high-risk group were enriched in Notch signaling pathway, epithelial mesenchymal transition (EMT), and angiogenesis. Core proteins were strongly associated with the immune status of OSCC patients. Conclusions: The results established a 7-protein signatures with the hope of early detection and the capacity for risk assessment of OSCC patient prognosis. Further providing more potential targets for the treatment of OSCC.http://www.sciencedirect.com/science/article/pii/S193652332300058XOral squamous cell carcinomaProteomeMetabolomeBioinformaticsPrognostic risk score |
| spellingShingle | Zhitao Yao Wei An Maimaitituxun Tuerdi Jin Zhao Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics Translational Oncology Oral squamous cell carcinoma Proteome Metabolome Bioinformatics Prognostic risk score |
| title | Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics |
| title_full | Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics |
| title_fullStr | Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics |
| title_full_unstemmed | Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics |
| title_short | Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics |
| title_sort | identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics |
| topic | Oral squamous cell carcinoma Proteome Metabolome Bioinformatics Prognostic risk score |
| url | http://www.sciencedirect.com/science/article/pii/S193652332300058X |
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