{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gbormittah FO"],"funding":["National Cancer Institute","NCI NIH HHS"],"pagination":["4889-900"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4227548"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(11)"],"pubmed_abstract":["Clear cell renal cell carcinoma is the most prevalent of all reported kidney cancer cases, and currently there are no markers for early diagnosis. This has stimulated great research interest recently because early detection of the disease can significantly improve the low survival rate. Combining the proteome, glycoproteome, and N-glycome data from clear cell renal cell carcinoma plasma has the potential of identifying candidate markers for early diagnosis and prognosis and/or to monitor disease recurrence. Here, we report on the utilization of a multi-dimensional fractionation approach (12P-M-LAC) and LC-MS/MS to comprehensively investigate clear cell renal cell carcinoma plasma collected before (disease) and after (non-disease) curative nephrectomy (n = 40). Proteins detected in the subp"],"journal":["Journal of proteome research"],"pubmed_title":["Comparative studies of the proteome, glycoproteome, and N-glycome of clear cell renal cell carcinoma plasma before and after curative nephrectomy."],"pmcid":["PMC4227548"],"funding_grant_id":["U01 CA152653","1U01CA152653-01"],"pubmed_authors":["Taylor K","Iliopoulos O","Gbormittah FO","Hancock WS","Lee LY"],"additional_accession":[]},"is_claimable":false,"name":"Comparative studies of the proteome, glycoproteome, and N-glycome of clear cell renal cell carcinoma plasma before and after curative nephrectomy.","description":"Clear cell renal cell carcinoma is the most prevalent of all reported kidney cancer cases, and currently there are no markers for early diagnosis. This has stimulated great research interest recently because early detection of the disease can significantly improve the low survival rate. Combining the proteome, glycoproteome, and N-glycome data from clear cell renal cell carcinoma plasma has the potential of identifying candidate markers for early diagnosis and prognosis and/or to monitor disease recurrence. Here, we report on the utilization of a multi-dimensional fractionation approach (12P-M-LAC) and LC-MS/MS to comprehensively investigate clear cell renal cell carcinoma plasma collected before (disease) and after (non-disease) curative nephrectomy (n = 40). Proteins detected in the subp","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014 Nov","modification":"2026-05-02T07:05:42.004Z","creation":"2026-04-07T17:41:57.526Z"},"accession":"S-EPMC4227548","cross_references":{"pubmed":["25184692"],"doi":["10.1021/pr500591e"]}}