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
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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