ArticleMolecular & cellular proteomics : MCP2013
Quantitative proteomic analysis in metastatic renal cell carcinoma reveals a unique set of proteins with potential prognostic significance.
Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed, 76 citations in OpenAlex.
- Small molecule intervention of actin-binding protein profilin1 reduces tumor angiogenesis in renal cell carcinoma.bioRxiv : the preprint server for biology · 2025Article
- Proteomics Characterization of Clear Cell Renal Cell Carcinoma.Journal of clinical medicine · 2023Article
- LGALS1 was related to the prognosis of clear cell renal cell carcinoma identified by weighted correlation gene network analysis combined with differential gene expression analysis.Frontiers in genetics · 2022Article
- Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer.Oncology reports · 2021Article
- Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms.BMC medicine · 2021Article
- Metabolic imaging with hyperpolarizedCancer · 2021Article
- Actin-binding protein profilin1 promotes aggressiveness of clear-cell renal cell carcinoma cells.The Journal of biological chemistry · 2020Article
- Role of Nuclear Claudin-4 in Renal Cell Carcinoma.International journal of molecular sciences · 2020Article
- Proteomic and Phosphoproteomic Maps of Lung Squamous Cell Carcinoma From Chinese Patients.Frontiers in oncology · 2020Article
- Proteomic approaches for characterizing renal cell carcinoma.Clinical proteomics · 2020Review
- Non-Invasive Assessment of Lactate Production and Compartmentalization in Renal Cell Carcinomas Using HyperpolarizedCancers · 2018Article
- SERPINH1 overexpression in clear cell renal cell carcinoma: association with poor clinical outcome and its potential as a novel prognostic marker.Journal of cellular and molecular medicine · 2018Article
- Elucidating mechanisms of sunitinib resistance in renal cancer: an integrated pathological-molecular analysis.Oncotarget · 2018Article
- Fast quantitative urinary proteomic profiling workflow for biomarker discovery in kidney cancer.Clinical proteomics · 2018Article
- Comparative proteomics analysis of primary cutaneous amyloidosis.Experimental and therapeutic medicine · 2017Article
- Identification of CD14 as a potential biomarker of hepatocellular carcinoma using iTRAQ quantitative proteomics.Oncotarget · 2017Article
- Downregulation of PDZ Domain Containing 1 (PDZK1) is a Poor Prognostic Marker for Clear Cell Renal Cell Carcinoma.EBioMedicine · 2017Article
- Proteomics and peptidomics: moving toward precision medicine in urological malignancies.Oncotarget · 2016Review
- Ambient ionization mass spectrometric analysis of human surgical specimens to distinguish renal cell carcinoma from healthy renal tissue.Analytical and bioanalytical chemistry · 2016Article
- Proteotranscriptomic Analysis Reveals Stage Specific Changes in the Molecular Landscape of Clear-Cell Renal Cell Carcinoma.PloS one · 2016Article
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14 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Metastatic renal cell carcinoma (RCC) is one of the most treatment-resistant malignancies, and patients have a dismal prognosis, with a <10% five-year survival rate. The identification of markers that can predict the potential for metastases will have a great effect in improving patient outcomes. In this study, we used differential proteomics with isobaric tags for relative and absolute quantitation (iTRAQ) labeling and LC-MS/MS analysis to identify proteins that are differentially expressed in metastatic and primary RCC. We identified 1256 non-redundant proteins, and 456 of these were quantified. Further analysis identified 29 proteins that were differentially expressed (12 overexpressed and 17 underexpressed) in metastatic and primary RCC. Dysregulated protein expressions of profilin-1 (Pfn1), 14-3-3 zeta/delta (14-3-3ζ), and galectin-1 (Gal-1) were verified on two independent sets of tissues by means of Western blot and immunohistochemical analysis. Hierarchical clustering analysis showed that the protein expression profile specific for metastatic RCC can distinguish between aggressive and non-aggressive RCC. Pathway analysis showed that dysregulated proteins are involved in cellular processes related to tumor progression and metastasis. Furthermore, preliminary analysis using a small set of tumors showed that increased expression of Pfn1 is associated with poor outcome and is a potential prognostic marker in RCC. In addition, 14-3-3ζ and Gal-1 also showed higher expression in tumors with poor prognosis than in those with good prognosis. Dysregulated proteins in metastatic RCC represent potential prognostic markers for kidney cancer patients, and a greater understanding of their involved biological pathways can serve as the foundation of the development of novel targeted therapies for metastatic RCC.
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