Literature DB >> 25855029

Clusterin glycopeptide variant characterization reveals significant site-specific glycan changes in the plasma of clear cell renal cell carcinoma.

Francisca O Gbormittah1, Jonathan Bones2, Marina Hincapie3, Fateme Tousi1, William S Hancock1, Othon Iliopoulos4,5.   

Abstract

Cancer-related alterations in protein glycosylation may serve as diagnostic or prognostic biomarkers or may be used for monitoring disease progression. Clusterin is a medium abundance, yet heavily glycosylated, glycoprotein that is upregulated in clear cell renal cell carcinoma (ccRCC) tumors. We recently reported that the N-glycan profile of clusterin is altered in the plasma of ccRCC patients. Here, we characterized the occupancy and the degree of heterogeneity of individual N-glycosylation sites of clusterin in the plasma of patients diagnosed with localized ccRCC, before and after curative nephrectomy (n = 40). To this end, we used tandem mass spectrometry of immunoaffinity-enriched plasma samples to analyze the individual glycosylation sites in clusterin. We determined the levels of targeted clusterin glycoforms containing either a biantennary digalactosylated disialylated (A2G2S2) glycan or a core fucosylated biantennary digalactosylated disialylated (FA2G2S2) glycan at N-glycosite N374. We showed that the presence of these two clusterin glycoforms differed significantly in the plasma of patients prior to and after curative nephrectomy for localized ccRCC. Removal of ccRCC led to a significant increase in the levels of both FA2G2S2 and A2G2S2 glycans in plasma clusterin. These changes were further confirmed by lectin blotting of plasma clusterin. It is envisioned that these identified glycan alterations may provide an additional level of therapeutic or biomarker sensitivity than levels currently achievable by monitoring expression differences alone.

Entities:  

Keywords:  Clear cell renal cell carcinoma; N-glycan; clusterin; collision-induced dissociation; glycoforms; site-specific analysis

Mesh:

Substances:

Year:  2015        PMID: 25855029     DOI: 10.1021/pr501104j

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

1.  Quantitative analysis of core fucosylation of serum proteins in liver diseases by LC-MS-MRM.

Authors:  Junfeng Ma; Miloslav Sanda; Renhuizi Wei; Lihua Zhang; Radoslav Goldman
Journal:  J Proteomics       Date:  2018-02-07       Impact factor: 4.044

Review 2.  A case for protein-level and site-level specificity in glycoproteomic studies of disease.

Authors:  Katherine N Schumacher; Eric D Dodds
Journal:  Glycoconj J       Date:  2016-03-23       Impact factor: 2.916

Review 3.  Glycans and glycoproteins as specific biomarkers for cancer.

Authors:  Muchena J Kailemia; Dayoung Park; Carlito B Lebrilla
Journal:  Anal Bioanal Chem       Date:  2016-09-03       Impact factor: 4.142

Review 4.  Recent Advances in the Mass Spectrometry Methods for Glycomics and Cancer.

Authors:  Muchena J Kailemia; Gege Xu; Maurice Wong; Qiongyu Li; Elisha Goonatilleke; Frank Leon; Carlito B Lebrilla
Journal:  Anal Chem       Date:  2017-10-31       Impact factor: 6.986

Review 5.  Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses.

Authors:  L Renee Ruhaak; Gege Xu; Qiongyu Li; Elisha Goonatilleke; Carlito B Lebrilla
Journal:  Chem Rev       Date:  2018-03-19       Impact factor: 60.622

Review 6.  Aberrant glycosylation and cancer biomarker discovery: a promising and thorny journey.

Authors:  Mengmeng Wang; Jianhui Zhu; David M Lubman; Chunfang Gao
Journal:  Clin Chem Lab Med       Date:  2019-03-26       Impact factor: 8.490

7.  Selective reaction monitoring approach using structure-defined synthetic glycopeptides for validating glycopeptide biomarkers pre-determined by bottom-up glycoproteomics.

Authors:  Kouta Shiratori; Yasuhiro Yokoi; Hajime Wakui; Nozomi Hirane; Michiru Otaki; Hiroshi Hinou; Tohru Yoneyama; Shingo Hatakeyama; Satoshi Kimura; Chikara Ohyama; Shin-Ichiro Nishimura
Journal:  RSC Adv       Date:  2022-08-03       Impact factor: 4.036

Review 8.  Clinical diagnostics and therapy monitoring in the congenital disorders of glycosylation.

Authors:  Monique Van Scherpenzeel; Esther Willems; Dirk J Lefeber
Journal:  Glycoconj J       Date:  2016-01-07       Impact factor: 2.916

9.  Impact of novel oncogenic pathways regulated by antitumor miR-451a in renal cell carcinoma.

Authors:  Yasutaka Yamada; Takayuki Arai; Sho Sugawara; Atsushi Okato; Mayuko Kato; Satoko Kojima; Kazuto Yamazaki; Yukio Naya; Tomohiko Ichikawa; Naohiko Seki
Journal:  Cancer Sci       Date:  2018-03-09       Impact factor: 6.716

Review 10.  Fucosylation in Urological Cancers.

Authors:  Kazutoshi Fujita; Koji Hatano; Mamoru Hashimoto; Eisuke Tomiyama; Eiji Miyoshi; Norio Nonomura; Hirotsugu Uemura
Journal:  Int J Mol Sci       Date:  2021-12-11       Impact factor: 5.923

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