Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma
Copyright © 2023, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved..
BACKGROUND/AIM: Renal cell carcinoma (RCC) is one of the most commonly diagnosed cancers in the world. Approximately 25-30% of patients identified with initial kidney cancer will have metastasized tumors, thus 5-year survival rates for these patients are poor. Therefore, biomarker research is required to identify and predict molecular signatures in RCC.
MATERIALS AND METHODS: To address this, we used a mass spectrometry (MS)-based proteomics approach to identify proteins related to clear cell RCC (ccRCC) tissues from patients with T1G2, T1G3, T3G2, T3G3, and metastatic RCC (mRCC) stages.
RESULTS: We identified and quantified 2,608 and 2,463 proteins, respectively, in ccRCC tissue and identified 1,449 differentially expressed proteins (DEPs). Bioinformatics analysis revealed that serpin family A member 3 (SERPINA3) qualified as biomarker for ccRCC progression. Using indirect enzyme-linked immunosorbent assay (ELISA), immunoblotting, and immunohistochemistry assays it was found that SERPINA3 expression levels in ccRCC tissues were much higher in stages before metastasis.
CONCLUSION: Comparative proteomics analysis of ccRCC tissues provided new evidence of SERPINA3 association with ccRCC progression.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
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| Enthalten in: |
Cancer genomics & proteomics - 20(2023), 6 vom: 27. Nov., Seite 592-601 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Park, Juhee [VerfasserIn] |
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| Links: |
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| Themen: |
Biomarkers, Tumor |
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| Anmerkungen: |
Date Completed 02.11.2023 Date Revised 04.11.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.21873/cgp.20408 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM363811370 |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved. | ||
| 520 | |a BACKGROUND/AIM: Renal cell carcinoma (RCC) is one of the most commonly diagnosed cancers in the world. Approximately 25-30% of patients identified with initial kidney cancer will have metastasized tumors, thus 5-year survival rates for these patients are poor. Therefore, biomarker research is required to identify and predict molecular signatures in RCC | ||
| 520 | |a MATERIALS AND METHODS: To address this, we used a mass spectrometry (MS)-based proteomics approach to identify proteins related to clear cell RCC (ccRCC) tissues from patients with T1G2, T1G3, T3G2, T3G3, and metastatic RCC (mRCC) stages | ||
| 520 | |a RESULTS: We identified and quantified 2,608 and 2,463 proteins, respectively, in ccRCC tissue and identified 1,449 differentially expressed proteins (DEPs). Bioinformatics analysis revealed that serpin family A member 3 (SERPINA3) qualified as biomarker for ccRCC progression. Using indirect enzyme-linked immunosorbent assay (ELISA), immunoblotting, and immunohistochemistry assays it was found that SERPINA3 expression levels in ccRCC tissues were much higher in stages before metastasis | ||
| 520 | |a CONCLUSION: Comparative proteomics analysis of ccRCC tissues provided new evidence of SERPINA3 association with ccRCC progression | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Clear cell renal carcinoma | |
| 650 | 4 | |a comparative proteomics | |
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| 700 | 1 | |a Sim, Hyunchae |e verfasserin |4 aut | |
| 700 | 1 | |a Na, Ann-Yae |e verfasserin |4 aut | |
| 700 | 1 | |a Choi, So Young |e verfasserin |4 aut | |
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| 700 | 1 | |a Ha, Yun-Sok |e verfasserin |4 aut | |
| 700 | 1 | |a Kwon, Tae Gyun |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Sangkyu |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Jun Nyung |e verfasserin |4 aut | |
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