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

Citations

WEB OF SCIENCE

6
Citations

SCOPUS

6

초록

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

키워드

Clear cell renal carcinoma; metastasis; comparative proteomics; prognostic marker; serpine A3; CANCER STATISTICS; GENE ONTOLOGY; SERPINA3; QUANTIFICATION; EXPRESSION; RESISTANCE; INHIBITORS; THERAPIES
제목
Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma
저자
Park, Juhee; Lee, Eun Hye; Sim, Hyunchae; Na, Ann-Yae; Choi, So Young; Chung, Jae-Wook; Ha, Yun-Sok; Kwon, Tae Gyun; Lee, Sangkyu; Lee, Jun Nyung
DOI
10.21873/cgp.20408
발행일
2023-11
유형
Article
저널명
Cancer Genomics and Proteomics
권
20
호
6
페이지
592 ~ 601