Login to Access Video or Poster Abstract: MP39-11
Sources of Funding: None

Introduction

Renal cell carcinoma (RCC) is originated from the uriniferous tubule's epithelial system in renal parenchyma. RCC is the most fatal urinary tract tumor and also is not sensitive to radiotherapy and chemotherapy. So nowadays, surgery is the main treatment in clinic. But to the metastatic patients or post-operation transfer cases, surgeries have been unable to achieve a radical cure goal, which means targeted drug therapies are currently more reliable adjuvant ways. The development of targeted drugs treatment depended on the research of RCC biomarkers. The current targeted drugs remain low response rate. On the other hand, the imaging examination is not effective enough for the judgment of the prognosis and invasion of RCC. Therefore, in this study we urgently need to find unique biomarkers for early diagnosis and prognosis. It will be of great help for clinical guide to individualized treatment.

Methods

We collected 21 pathological diagnosis of renal clear cell carcinoma (the main subtype in RCC classification) patients’ peripheral blood, tumor tissues and para-carcinoma normal kidney tissues. All the specimens will be used in the proteinomics detection. LC/MS/MS, protein identification and quantitation are the most important procedures in proteinomics. Cytoscape3.1.1 and two plugins were used to analyze the protein interaction network.

Results

From all the samples, we have found more than 6000 proteins expressed and more than 400 proteins have different expression profile compared between groups. Only 10 proteins highly expressed in the tumor tissues compared with their normal tissues. Some tumor growth markers highly expressed in the peripheral blood of the patients and in their tumor tissues. Perilipin 2 (PLIN2), Lactate dehydrogenase A (LDHA) and Prostaglandin E2 ?PGE2?were highly expressed in tumor tissues. These markers are all correlated with tumor growth and angiogenesis, which indicated these proteins might be the novel predictive and prognostic markers in RCC.

Conclusions

In this study, we found tumor related proteins PLIN2, LDHA and PGE2 highly expressed in RCC by proteomics analysis. More research to find the tumor-regulation mechanism of these markers is ongoing. It will be of great help to the future prospects for novel medical treatments for RCC._x000D_

Funding

None