<i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma
Background: Clear cell renal cell carcinoma (ccRCC) is the most common and metastatic type of renal cell carcinoma. Despite significant advancements, the current diagnostic biomarkers for ccRCC lack the desired specificity and sensitivity, necessitating the identification of novel biomarkers and elu...
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MDPI AG
2023-09-01
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author | Jian Shi Daojia Miao Qingyang Lv Diaoyi Tan Zhiyong Xiong Xiaoping Zhang |
author_facet | Jian Shi Daojia Miao Qingyang Lv Diaoyi Tan Zhiyong Xiong Xiaoping Zhang |
author_sort | Jian Shi |
collection | DOAJ |
description | Background: Clear cell renal cell carcinoma (ccRCC) is the most common and metastatic type of renal cell carcinoma. Despite significant advancements, the current diagnostic biomarkers for ccRCC lack the desired specificity and sensitivity, necessitating the identification of novel biomarkers and elucidation of their underlying mechanisms. Methods: Three gene expression profile datasets were obtained from the GEO database, and differentially expressed genes (DEGs) were screened. Gene Ontology and KEGG pathway analysis were conducted in ccRCC. To clarify the diagnosis and prognostic role of <i>ENO2</i>, Kaplan–Meier analysis and Cox proportional hazards regression analysis were performed. Functional experiments were also carried out to verify the significant role of <i>ENO2</i> in ccRCC. Finally, tumor mutational burden analysis was utilized to investigate the potential role of <i>ENO2</i> in gene mutations in ccRCC. Results: The study showed that <i>ENO2</i> is a potential biomarker for the diagnosis of ccRCC and can independently predict the clinical prognosis of ccRCC. Furthermore, we found that <i>ENO2</i> can promote the occurrence and progression of ccRCC by affecting the glycolysis level of cells through the “Warburg effect”. Conclusions: These findings provide new theories for the occurrence and development of ccRCC and can help formulate new strategies for its diagnosis and treatment. |
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spelling | doaj.art-d2c0226a0866467f9781674920b0332f2023-11-19T09:42:12ZengMDPI AGBiomedicines2227-90592023-09-01119249910.3390/biomedicines11092499<i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell CarcinomaJian Shi0Daojia Miao1Qingyang Lv2Diaoyi Tan3Zhiyong Xiong4Xiaoping Zhang5Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, ChinaDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, ChinaDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, ChinaDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, ChinaDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, ChinaDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, ChinaBackground: Clear cell renal cell carcinoma (ccRCC) is the most common and metastatic type of renal cell carcinoma. Despite significant advancements, the current diagnostic biomarkers for ccRCC lack the desired specificity and sensitivity, necessitating the identification of novel biomarkers and elucidation of their underlying mechanisms. Methods: Three gene expression profile datasets were obtained from the GEO database, and differentially expressed genes (DEGs) were screened. Gene Ontology and KEGG pathway analysis were conducted in ccRCC. To clarify the diagnosis and prognostic role of <i>ENO2</i>, Kaplan–Meier analysis and Cox proportional hazards regression analysis were performed. Functional experiments were also carried out to verify the significant role of <i>ENO2</i> in ccRCC. Finally, tumor mutational burden analysis was utilized to investigate the potential role of <i>ENO2</i> in gene mutations in ccRCC. Results: The study showed that <i>ENO2</i> is a potential biomarker for the diagnosis of ccRCC and can independently predict the clinical prognosis of ccRCC. Furthermore, we found that <i>ENO2</i> can promote the occurrence and progression of ccRCC by affecting the glycolysis level of cells through the “Warburg effect”. Conclusions: These findings provide new theories for the occurrence and development of ccRCC and can help formulate new strategies for its diagnosis and treatment.https://www.mdpi.com/2227-9059/11/9/2499clear cell renal cell carcinoma (ccRCC)Warburg effectglycolysisbioinformaticsTCGA |
spellingShingle | Jian Shi Daojia Miao Qingyang Lv Diaoyi Tan Zhiyong Xiong Xiaoping Zhang <i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma Biomedicines clear cell renal cell carcinoma (ccRCC) Warburg effect glycolysis bioinformatics TCGA |
title | <i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma |
title_full | <i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma |
title_fullStr | <i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma |
title_full_unstemmed | <i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma |
title_short | <i>ENO2</i> as a Biomarker Regulating Energy Metabolism to Promote Tumor Progression in Clear Cell Renal Cell Carcinoma |
title_sort | i eno2 i as a biomarker regulating energy metabolism to promote tumor progression in clear cell renal cell carcinoma |
topic | clear cell renal cell carcinoma (ccRCC) Warburg effect glycolysis bioinformatics TCGA |
url | https://www.mdpi.com/2227-9059/11/9/2499 |
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