Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma

Juhee Park; Eun Hye Lee; Hyunchae Sim; Ann Yae Na; So Young Choi; Jae Wook Chung; Yun Sok Ha; Tae Gyun Kwon; Sangkyu Lee; Jun Nyung Lee

doi:10.21873/cgp.20408

Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma

Juhee Park, Eun Hye Lee, Hyunchae Sim, Ann Yae Na, So Young Choi, Jae Wook Chung, Yun Sok Ha, Tae Gyun Kwon, Sangkyu Lee, Jun Nyung Lee

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	592-601
Number of pages	10
Journal	Cancer Genomics and Proteomics
Volume	20
Issue number	6
DOIs	https://doi.org/10.21873/cgp.20408
State	Published - Nov 2023

Keywords

Clear cell renal carcinoma
comparative proteomics
metastasis
prognostic marker
serpine A3

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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@article{f54ee698cfb8428a9e092997bc2174fa,

title = "Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma",

abstract = "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.",

keywords = "Clear cell renal carcinoma, comparative proteomics, metastasis, prognostic marker, serpine A3",

author = "Juhee Park and Lee, {Eun Hye} and Hyunchae Sim and Na, {Ann Yae} and Choi, {So Young} and Chung, {Jae Wook} and Ha, {Yun Sok} and Kwon, {Tae Gyun} and Sangkyu Lee and Lee, {Jun Nyung}",

year = "2023",

month = nov,

doi = "10.21873/cgp.20408",

language = "English",

volume = "20",

pages = "592--601",

journal = "Cancer Genomics and Proteomics",

issn = "1109-6535",

publisher = "International Institute of Anticancer Research",

number = "6",

}

TY - JOUR

T1 - Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma

AU - Park, Juhee

AU - Lee, Eun Hye

AU - Sim, Hyunchae

AU - Na, Ann Yae

AU - Choi, So Young

AU - Chung, Jae Wook

AU - Ha, Yun Sok

AU - Kwon, Tae Gyun

AU - Lee, Sangkyu

AU - Lee, Jun Nyung

PY - 2023/11

Y1 - 2023/11

N2 - 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.

AB - 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.

KW - Clear cell renal carcinoma

KW - comparative proteomics

KW - metastasis

KW - prognostic marker

KW - serpine A3

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U2 - 10.21873/cgp.20408

DO - 10.21873/cgp.20408

M3 - Article

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AN - SCOPUS:85175275220

SN - 1109-6535

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JO - Cancer Genomics and Proteomics

JF - Cancer Genomics and Proteomics

IS - 6

ER -

Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma

Abstract

Keywords

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