Proteomics

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Comparative quantitative proteomics in renal cell carcinoma to identify the novel progression factors


ABSTRACT: Over 90% of kidney malignancies are renal cell carcinomas (RCC), which are tumors arising from the renal epithelium. Clear cell RCC (ccRCC) is the most frequent histological subtype and the cause of the majority of kidney cancer-related fatalities. Because of its low 5-year survival rate, poor prognosis, and poor treatment response to chemotherapy and radiation, metastatic RCC (mRCC) is considered a severe condition among kidney cancers. Although different therapies have been tried for mRCC, new therapeutic targets are still needed to overcome the disease. Currently, genomics and transcriptomics studies are being conducted in order to uncover specific genes associated with mRCC. In addition, we were able to apply mass spectrometry-based comparative proteomics, which has become more widely available. Following we performed research to identify the novel progression factors in mRCC based on proteomics approaches, more information about the progression to mRCC using quantitative profiling was identified. In this study, we selected 239 differentially expressed proteins among the 2,905 quantified proteins. We finally chose the 6 target proteins to perform next research.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Kidney

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Ann-Yae Na  

LAB HEAD: Sangkyu Lee

PROVIDER: PXD039204 | Pride | 2024-01-26

REPOSITORIES: Pride

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Publications

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

Park Juhee J   Lee Eun Hye EH   Sim Hyunchae H   Na Ann-Yae AY   Choi So Young SY   Chung Jae-Wook JW   Ha Yun-Sok YS   Kwon Tae Gyun TG   Lee Sangkyu S   Lee Jun Nyung JN  

Cancer genomics & proteomics 20231101 6


<h4>Background/aim</h4>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.<h4>Materials and methods</h4>To address this, we used a mass spectrometry (MS)-based proteomics approach to identify proteins related to  ...[more]

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