Urine screening by Seldi-Tof, followed by biomarker identification, in a Brazilian cohort of patients with renal cell carcinoma (RCC).

PURPOSE: To screen proteins/peptides in urine of Renal Cell Carcinoma (RCC) patients by SELDI-TOF (Surface Enhanced Laser Desorption Ionization - Time of Flight) in search of possible biomarkers. MATERIAL AND METHODS: Sixty-one urines samples from Clear Cell RCC and Papillary RCC were compared to 29 samples of control urine on CM10 chip. Mass analysis was performed in a ProteinChip Reader PCS 4,000 (Ciphergen Biosystems, Fremont, CA) with the software Ciphergen Express 3.0. All chips were read at low and at high laser energy. For statistical analysis the urine samples were clustered according to the histological classification (Clear Cell and Papillary Carcinoma). For identification urine was loaded on a SDS PAGE gel and bands of most interest were excised, trypsinized and identified by MS/MS. Databank searches were performed in Swiss-Prot database using the MASCOT search algorithm and in Profound. RESULTS: Proteins that were identified from urine of controls included immunoglobulin light chains, albumin, secreted and transmembrane 1 precursor (protein K12), mannan-binding lectin-associated serine protease-2 (MASP-2) and vitelline membrane outer layer 1 isoform 1. Identification of immunoglobulins and isoforms of albumin are quite common by proteomics and therefore cannot be considered as possible molecular markers. K12 and MASP-2 play important physiological roles, while vitellite membrane outer layer 1 role is unknown since it was never purified in humans. CONCLUSIONS: The down expression of Protein K-12 and MASP-2 make them good candidates for RCC urine marker and should be validated in a bigger cohort including the other less common histological RCC subtypes.

Urine screening by Seldi-Tof, followed by biomarker identification, in a Brazilian cohort of patients with Renal Cell Carcinoma (RCC)

Purpose To screen proteins/peptides in urine of Renal Cell Carcinoma (RCC) patients by SELDI-TOF (Surface Enhanced Laser Desorption Ionization - Time of Flight) in search of possible biomarkers. Material and Methods Sixty-one urines samples from Clear Cell RCC and Papillary RCC were compared to 29 samples of control urine on CM10 chip. Mass analysis was performed in a ProteinChip Reader PCS 4,000 (Ciphergen Biosystems, Fremont, CA) with the software Ciphergen Express 3.0. All chips were read at low and at high laser energy. For statistical analysis the urine samples were clustered according to the histological classification (Clear Cell and Papillary Carcinoma). For identification urine was loaded on a SDS PAGE gel and bands of most interest were excised, trypsinized and identified by MS/MS. Databank searches were performed in Swiss-Prot database using the MASCOT search algorithm and in Profound. Results Proteins that were identified from urine of controls included immunoglobulin light chains, albumin, secreted and transmembrane 1 precursor (protein K12), mannan-binding lectin-associated serine protease-2 (MASP-2) and vitelline membrane outer layer 1 isoform 1. Identification of immunoglobulins and isoforms of albumin are quite common by proteomics and therefore cannot be considered as possible molecular markers. K12 and MASP-2 play important physiological roles, while vitellite membrane outer layer 1 role is unknown since it was never purified in humans. Conclusions The down expression of Protein K-12 and MASP-2 make them good candidates for RCC urine marker and should be validated in a bigger cohort including the other less common histological RCC subtypes. .

Renal cell carcinoma and proteomics.

Renal cell carcinoma (RCC) represents 3% of adult malignancies. About 30% of RCC patients develop metastatic disease. So far, drugs cannot significantly increase the survival of these patients. We present a recent review of proteomics and RCC. Proteomic technologies have been used in the research to discover new markers of RCC that might increase survival. Furthermore, newly discovered markers cannot increase patient survival, rather their prognostic value supporting therapeutic decisions or new agents targeted at these new markers. More research is required to develop proteomic technologies and biomarkers for identification and validation.

CD26/DPPIV cell membrane expression and DPPIV activity in plasma of patients with acute leukemia.

CD26/DPPIV (dipeptidil peptidase IV) displays an array of diverse functional properties, with a role in the development of several human cancers. This enzyme is found mainly anchored in the membrane of cells although it also has an enzymatically active plasma isoform. The regulation of biological activities of cytokines by DPP IV activity has a potential role in the homeostatic regulation of hematopoiesis. In this study, we analyzed the CD26 antigen cell membrane expression by flow cytometry and the DPPIV activity in plasma of patients of acute leukemia. The results showed that the plasma DPPIV activity is significantly higher in leukemia patients and could be 100% inhibited by Januvia (Merck Sharp & Dohme) a selective DPPIV inhibitor. Although CD26 expression on immune cells were not leukemia-dependent the analysis of the correlation between CD26 expression and the DPPIV plasma activity were statistically significant (p < 0.01) in acute lymphoid leukemia (B-ALL and T-ALL).