Literature DB >> 29129073

Stage Dependence, Cell-Origin Independence, and Prognostic Capacity of Serum Glycan Fucosylation, β1-4 Branching, β1-6 Branching, and α2-6 Sialylation in Cancer.

Shadi Ferdosi1,2, Douglas S Rehder2, Paul Maranian2, Erik P Castle, Thai H Ho, Harvey I Pass3, Daniel W Cramer, Karen S Anderson2, Lei Fu, David E C Cole, Tao Le4, Xifeng Wu4, Chad R Borges1,2.   

Abstract

Glycans repn>resent a promising but only marginally accessed source of n>an class="Disease">cancer markers. We previously reported the development of a molecularly bottom-up approach to plasma and serum (P/S) glycomics based on glycan linkage analysis that captures features such as α2-6 sialylation, β1-6 branching, and core fucosylation as single analytical signals. Based on the behavior of P/S glycans established to date, we hypothesized that the alteration of P/S glycans observed in cancer would be independent of the tissue in which the tumor originated yet exhibit stage dependence that varied little between cancers classified on the basis of tumor origin. Herein, the diagnostic utility of this bottom-up approach as applied to lung cancer patients (n = 127 stage I; n = 20 stage II; n = 81 stage III; and n = 90 stage IV) as well as prostate (n = 40 stage II), serous ovarian (n = 59 stage III), and pancreatic cancer patients (n = 15 rapid autopsy) compared to certifiably healthy individuals (n = 30), nominally healthy individuals (n = 166), and risk-matched controls (n = 300) is reported. Diagnostic performance in lung cancer was stage-dependent, with markers for terminal (total) fucosylation, α2-6 sialylation, β1-4 branching, β1-6 branching, and outer-arm fucosylation most able to differentiate cases from controls. These markers behaved in a similar stage-dependent manner in other types of cancer as well. Notable differences between certifiably healthy individuals and case-matched controls were observed. These markers were not significantly elevated in liver fibrosis. Using a Cox proportional hazards regression model, the marker for α2-6 sialylation was found to predict both progression and survival in lung cancer patients after adjusting for age, gender, smoking status, and stage. The potential mechanistic role of aberrant P/S glycans in cancer progression is discussed.

Entities:  

Keywords:  branching; cancer; fucosylation; glycans; plasma; progression; serum; sialylation; smoking; survival

Mesh:

Substances:

Year:  2017        PMID: 29129073      PMCID: PMC5978412          DOI: 10.1021/acs.jproteome.7b00672

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


  72 in total

1.  A spin column-free approach to sodium hydroxide-based glycan permethylation.

Authors:  Yueming Hu; Chad R Borges
Journal:  Analyst       Date:  2017-07-24       Impact factor: 4.616

2.  High serum concentrations of Sialyl Lewisx predict multilevel N2 disease in non-small-cell lung cancer.

Authors:  Shinjiro Mizuguchi; Kiyotoshi Inoue; Takashi Iwata; Tatsuya Nishida; Nobuhiro Izumi; Takuma Tsukioka; Noritoshi Nishiyama; Takahiro Uenishi; Shigefumi Suehiro
Journal:  Ann Surg Oncol       Date:  2006-05-23       Impact factor: 5.344

3.  Identification of an inducible factor secreted by pancreatic cancer cell lines that stimulates the production of fucosylated haptoglobin in hepatoma cells.

Authors:  Megumi Narisada; Sayuri Kawamoto; Kana Kuwamoto; Kenta Moriwaki; Tsutomu Nakagawa; Hitoshi Matsumoto; Michio Asahi; Nobuto Koyama; Eiji Miyoshi
Journal:  Biochem Biophys Res Commun       Date:  2008-10-23       Impact factor: 3.575

Review 4.  Identifying N-Glycan Biomarkers in Colorectal Cancer by Mass Spectrometry.

Authors:  Manveen K Sethi; William S Hancock; Susan Fanayan
Journal:  Acc Chem Res       Date:  2016-09-21       Impact factor: 22.384

Review 5.  Contribution of proteomics to understanding the role of tumor-derived exosomes in cancer progression: state of the art and new perspectives.

Authors:  Simona Fontana; Fontana Simona; Laura Saieva; Saieva Laura; Simona Taverna; Taverna Simona; Riccardo Alessandro; Alessandro Riccardo
Journal:  Proteomics       Date:  2013-03-22       Impact factor: 3.984

6.  Linkage-Specific in Situ Sialic Acid Derivatization for N-Glycan Mass Spectrometry Imaging of Formalin-Fixed Paraffin-Embedded Tissues.

Authors:  Stephanie Holst; Bram Heijs; Noortje de Haan; René J M van Zeijl; Inge H Briaire-de Bruijn; Gabi W van Pelt; Anand S Mehta; Peggy M Angel; Wilma E Mesker; Rob A Tollenaar; Richard R Drake; Judith V M G Bovée; Liam A McDonnell; Manfred Wuhrer
Journal:  Anal Chem       Date:  2016-05-23       Impact factor: 6.986

7.  Serum Sialyl Lewis x and cytokeratin 19 fragment as predictive factors for recurrence in patients with stage I non-small cell lung cancer.

Authors:  Shinjiro Mizuguchi; Noritoshi Nishiyama; Takashi Iwata; Tatsuya Nishida; Nobuhiro Izumi; Takuma Tsukioka; Kiyotoshi Inoue; Takahiro Uenishi; Kenichi Wakasa; Shigefumi Suehiro
Journal:  Lung Cancer       Date:  2007-08-13       Impact factor: 5.705

8.  VeriStrat classifier for survival and time to progression in non-small cell lung cancer (NSCLC) patients treated with erlotinib and bevacizumab.

Authors:  David P Carbone; J Stuart Salmon; Dean Billheimer; Heidi Chen; Alan Sandler; Heinrich Roder; Joanna Roder; Maxim Tsypin; Roy S Herbst; Anne S Tsao; Hai T Tran; Thao P Dang
Journal:  Lung Cancer       Date:  2009-12-29       Impact factor: 5.705

9.  Glycocalyx engineering reveals a Siglec-based mechanism for NK cell immunoevasion.

Authors:  Jason E Hudak; Stephen M Canham; Carolyn R Bertozzi
Journal:  Nat Chem Biol       Date:  2013-11-24       Impact factor: 15.040

10.  DNA hypomethylation upregulates expression of the MGAT3 gene in HepG2 cells and leads to changes in N-glycosylation of secreted glycoproteins.

Authors:  Marija Klasić; Jasminka Krištić; Petra Korać; Tomislav Horvat; Dora Markulin; Aleksandar Vojta; Karli R Reiding; Manfred Wuhrer; Gordan Lauc; Vlatka Zoldoš
Journal:  Sci Rep       Date:  2016-04-13       Impact factor: 4.379

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  6 in total

1.  Optimized Fragmentation for Quantitative Analysis of Fucosylated N-Glycoproteins by LC-MS-MRM.

Authors:  Wei Yuan; Renhuizi Wei; Radoslav Goldman; Miloslav Sanda
Journal:  Anal Chem       Date:  2019-07-03       Impact factor: 6.986

2.  The Aristotle Classifier: Using the Whole Glycomic Profile To Indicate a Disease State.

Authors:  David Hua; Milani Wijeweera Patabandige; Eden P Go; Heather Desaire
Journal:  Anal Chem       Date:  2019-08-13       Impact factor: 6.986

3.  Fractionation and characterization of sialyl linkage isomers of serum N-glycans by CE-MS.

Authors:  Xiaomei Zhou; Woran Song; Milos V Novotny; Stephen C Jacobson
Journal:  J Sep Sci       Date:  2022-09       Impact factor: 3.614

4.  Delta-S-Cys-Albumin: A Lab Test that Quantifies Cumulative Exposure of Archived Human Blood Plasma and Serum Samples to Thawed Conditions.

Authors:  Joshua W Jeffs; Nilojan Jehanathan; Stephanie M F Thibert; Shadi Ferdosi; Linda Pham; Zachary T Wilson; Christian Breburda; Chad R Borges
Journal:  Mol Cell Proteomics       Date:  2019-07-19       Impact factor: 5.911

5.  Behavior of blood plasma glycan features in bladder cancer.

Authors:  Shadi Ferdosi; Thai H Ho; Erik P Castle; Melissa L Stanton; Chad R Borges
Journal:  PLoS One       Date:  2018-07-24       Impact factor: 3.240

6.  Glycan Node Analysis of Plasma-Derived Extracellular Vesicles.

Authors:  Sierra A Walker; Jesús S Aguilar Díaz De León; Sara Busatto; Gregory A Wurtz; Abba C Zubair; Chad R Borges; Joy Wolfram
Journal:  Cells       Date:  2020-08-22       Impact factor: 6.600

  6 in total

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