title: Comparative proteomic profiling identifies potential prognostic factors for human clear cell renal cell carcinoma.
abstract: The identification of markers for disease diagnostic, prognostic, or predictive purposes will have a great effect in improving patient management. Proteomic‑based approaches for biomarker discovery are promising strategies used in cancer research. In this study, we performed quantitative proteomic analysis on four patients including clear cell renal cell carcinoma (ccRCC) and paired adjacent non‑cancerous renal tissues using label‑free quantitative proteomics and liquid chromatography‑tandem mass spectrometry (LC‑MS/MS) to identify differentially expressed proteins. Among 3,061 identified non‑redundant proteins, we found that 210 proteins were differentially expressed (83 overexpressed and 127 underexpressed) in ccRCC tissue when compared with normal kidney tissues. Two most significantly dysregulated proteins (PCK1 and SNRPF) were chosen to be confirmed by western blotting. Pathway analysis of 210 differentially expressed proteins showed that dysregulated proteins are related to many cancer‑related biological processes such as oxidative phosphorylation, glycolysis and amino acid synthetic pathways. Online survival analysis indicated the prognostic value of these dysregulated proteins. In conclusion, we identified some potential diagnostic biomarkers for ccRCC and an in‑depth understanding of their involved biological pathways may help pave the way to discover new therapeutic strategies for ccRCC.
authors.affiliation: Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Sun
authors.affiliation: Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Shanghai Jiao Tong University School of Medicine/Chinese Academy of Sciences, Shanghai 200025, P.R. China.
authors.forename: Hongwei
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
authors.forename: Longhua
authors.initials: L
authors.lastname: Luo
authors.affiliation: Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
authors.forename: Kezhao
authors.initials: K
authors.lastname: Zhong
authors.affiliation: Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China.
authors.forename: Yushui
authors.initials: Y
authors.lastname: Ma
authors.affiliation: Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
authors.forename: Linlin
authors.initials: L
authors.lastname: Fan
authors.affiliation: Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China.
authors.forename: Da
authors.initials: D
authors.lastname: Fu
authors.affiliation: The Second Department of Internal Medicine, Cancer Hospital of Jiangxi Province, Nanchang, Jiangxi 330029, P.R. China.
authors.forename: Lijuan
authors.initials: L
authors.lastname: Wan
mesh_terms: D000368:Aged; D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism*; D002292:Carcinoma, Renal Cell / Q000175:diagnosis / Q000378:metabolism* / Q000401:mortality; D002648:Child; D005260:Female; D015870:Gene Expression; D063990:Gene Ontology; D006801:Humans; D053208:Kaplan-Meier Estimate; D007680:Kidney Neoplasms / Q000175:diagnosis / Q000378:metabolism* / Q000401:mortality; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D060066:Protein Interaction Maps; D020543:Proteome / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics; D053719:Tandem Mass Spectrometry
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome