scholarly journals Comparative membrane proteomics: a technical advancement in the search of renal cell carcinoma biomarkers

2015 ◽  
Vol 11 (6) ◽  
pp. 1708-1716 ◽  
Author(s):  
Francesca Raimondo ◽  
Samuele Corbetta ◽  
Andrea Savoia ◽  
Clizia Chinello ◽  
Marta Cazzaniga ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Membrane Protein ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Protein Analysis ◽  
Comparative Proteomics ◽  
Label Free ◽  
Membrane Proteomics ◽  
Specific Protocol ◽  
Set Up

Set-up of a specific protocol for membrane protein analysis, applied to label free, comparative proteomics of renal cell carcinoma microdomains.

scholarly journals Detection of urinary miRNAs for diagnosis of clear cell renal cell carcinoma

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Giovanni Cochetti ◽  
Luigi Cari ◽  
Giuseppe Nocentini ◽  
Vincenza Maulà ◽  
Chiara Suvieri ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Kidney Tissue ◽  
Internal Controls ◽  
Cell Renal Cell Carcinoma ◽  
Set Up ◽  
Tissue Specimens ◽  
Data Banks

AbstractThe lack of symptoms at the early stages of clear cell renal cell carcinoma (ccRCC) allows the tumour to metastasize, leading to a dramatic reduction in patient survival. Therefore, we studied and set up a method based on urinary microRNAs (miRNAs) for the diagnosis of ccRCC. First, miRNA expression in ccRCC specimens and kidney tissues from healthy subjects (HSs) was investigated through analysis of data banks and validated by comparing expression of miRNAs in ccRCC and adjacent non-cancerous kidney tissue specimens by RT-qPCR. Subsequently, we developed an algorithm to establish which miRNAs are more likely to be found in the urine of ccRCC patients that indicated miR-122, miR-1271, and miR-15b as potential interesting markers. The evaluation of their levels and three internal controls in the urine of 13 patients and 14 HSs resulted in the development of a score (7p-urinary score) to evaluate the presence of ccRCC in patients. The resulting area under the Receiver Operating Characteristic (ROC) curve, sensitivity, and specificity were equal to 0.96, 100% (95% CI 75–100%), and 86% (95% CI 57–98%), respectively. In conclusion, our study provides a proof of concept that combining the expression values of some urinary miRNAs might be useful in the diagnosis of ccRCC.

Label-free quantitative proteomic analysis reveals potential biomarkers and pathways in renal cell carcinoma

Tumor Biology ◽  
2014 ◽  
Vol 36 (2) ◽  
pp. 939-951 ◽  
Author(s):  
Zuohui Zhao ◽  
Fei Wu ◽  
Sentai Ding ◽  
Liang Sun ◽  
Zhao Liu ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Proteomic Analysis ◽  
Renal Cell ◽  
Label Free ◽  
Quantitative Proteomic Analysis ◽  
Potential Biomarkers

scholarly journals Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Susana Jorge ◽  
José L. Capelo ◽  
William LaFramboise ◽  
Swati Satturwar ◽  
Dimitrios Korentzelos ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
High Resolution ◽  
Cell Carcinoma ◽  
Total Protein ◽  
Renal Cell ◽  
Benign Tumors ◽  
Renal Neoplasm ◽  
Renal Neoplasms ◽  
Label Free ◽  
Diagnostic Potential

Abstract Background Renal neoplasms encompass a variety of malignant and benign tumors, including many with shared characteristics. The diagnosis of these renal neoplasms remains challenging with currently available tools. In this work, we demonstrate the total protein approach (TPA) based on high-resolution mass spectrometry (MS) as a tool to improve the accuracy of renal neoplasm diagnosis. Methods Frozen tissue biopsies of human renal tissues [clear cell renal cell carcinoma (n = 7), papillary renal cell carcinoma (n = 5), chromophobe renal cell carcinoma (n = 5), and renal oncocytoma (n = 5)] were collected for proteome analysis. Normal adjacent renal tissue (NAT, n = 5) was used as a control. Proteins were extracted and digested using trypsin, and the digested proteomes were analyzed by label-free high-resolution MS (nanoLC-ESI-HR-MS/MS). Quantitative analysis was performed by comparison between protein abundances of tumors and NAT specimens, and the label-free and standard-free TPA was used to obtain absolute protein concentrations. Results A total of 205 differentially expressed proteins with the potential to distinguish the renal neoplasms were found. Of these proteins, a TPA-based panel of 24, including known and new biomarkers, was selected as the best candidates to differentiate the neoplasms. As proof of concept, the diagnostic potential of PLIN2, TUBB3, LAMP1, and HK1 was validated using semi-quantitative immunohistochemistry with a total of 128 samples assessed on tissue micro-arrays. Conclusions We demonstrate the utility of combining high-resolution MS and the TPA as potential new diagnostic tool in the pathology of renal neoplasms. A similar TPA approach may be implemented in any cancer study with solid biopsies.

Postoperative surveillance for renal cell carcinoma: a multifactorial histological subtype specific protocol

2009 ◽  
Vol 104 (6) ◽  
pp. 778-785 ◽  
Author(s):  
Sameer A. Siddiqui ◽  
Igor Frank ◽  
John C. Cheville ◽  
Christine M. Lohse ◽  
Bradley C. Leibovich ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Histological Subtype ◽  
Postoperative Surveillance ◽  
Specific Protocol

1253: Different Survival in PT3A Renal Cell Carcinoma with Sinus Fat Invasion or Perinephric Fat Invasion

2007 ◽  
Vol 177 (4S) ◽  
pp. 413-413
Author(s):  
Marco Roscigno ◽  
Roberto Bertini ◽  
Cesare Cozzarini ◽  
Alessandra Pasta ◽  
Mattia Sangalli ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Perinephric Fat
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