OGDHL closely associates with tumor microenvironment and can serve as a prognostic biomarker for papillary thyroid cancer
Autor: | Wen-hui Huang, Jing Liu, Jie Zheng, Jie-Hua Li, Min Mao, Rongzhi Huang, Hai-qi Liang |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Oncology Cancer Research medicine.medical_specialty Stromal cell endocrine system diseases lcsh:RC254-282 Papillary thyroid cancer 03 medical and health sciences 0302 clinical medicine Internal medicine medicine Biomarkers Tumor Humans tumor microenvironment Radiology Nuclear Medicine and imaging Ketoglutarate Dehydrogenase Complex papillary thyroid cancer Thyroid Neoplasms Thyroid cancer Original Research Cancer Biology Tumor microenvironment Receiver operating characteristic business.industry Proportional hazards model Hazard ratio Computational Biology medicine.disease Prognosis lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens OGDHL Survival Rate 030104 developmental biology ROC Curve Thyroid Cancer Papillary 030220 oncology & carcinogenesis Case-Control Studies Biomarker (medicine) ssGSEA business Follow-Up Studies |
Zdroj: | Cancer Medicine, Vol 10, Iss 2, Pp 728-736 (2021) Cancer Medicine |
ISSN: | 2045-7634 |
Popis: | Background Papillary thyroid cancer (PTC) is the most common type of thyroid cancer. However, due to the lack of reliable prognostic biomarkers for PTC, overtreatment has been on the rise. Therefore, our research aims to identify new and promising prognostic biomarkers and provide fresh perspectives for clinical decision making. Methods The RNA‐seq data and clinical data of PTC samples were obtained from The Cancer Genome Atlas data portal. GSE64912 and GSE83520 datasets were downloaded through the GEOquery R package. The difference in the expression of oxoglutarate dehydrogenase like (OGDHL) between PTC and normal tissues was explored by the Wilcoxon test. Kaplan–Meier (KM) and Cox regression analyses were used to further explore the prognostic value of OGDHL. The tumor microenvironments of PTC patients were explored based on ssGSEA and Tumor Immune Estimation Resource online database. Gene Set Enrichment Analysis (GSEA) was performed to explore the biological processes associated with OGDHL. Results The expression level of OGDHL in PTC was significantly altered compared to that in normal tissues (p Our study proved that the expression of OGDHL was closely related to the prognosis of PTC, and could be used as a new promising prognostic biomarker for PTC. |
Databáze: | OpenAIRE |
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