title: Surfaceome of classical Hodgkin and non-Hodgkin lymphoma.
abstract: OBJECTIVE
  Classical Hodgkin lymphoma (cHL) is characterized by a low percentage of tumor cells in a background of diverse, reactive immune cells. cHL cells commonly derive from preapoptotic germinal-center B cells and are characterized by the loss of B-cell markers and the varying expression of other hematopoietic lineage markers. This phenotypic variability and the scarcity of currently available cHL-specific cell surface markers can prevent clear distinction of cHL from related lymphomas.
  
  
  METHODS
  We applied the cell surface capture technology to directly measure the pool of cell surface exposed proteins in four cHL and four non-Hodgkin lymphoma (NHL) cell lines.
  
  
  RESULTS
  More than 1000 membrane proteins, including 178 cluster of differentiation annotated proteins, were identified and allowed the generation of lymphoma surfaceome maps. The functional properties of identified cell surface proteins enable, but also limit the information exchange of lymphoma cells with their microenvironment.
  
  
  CONCLUSIONS
  Selected candidate proteins with potential diagnostic value were evaluated on a tissue microarray (TMA). Primary lymphoma tissues of 126 different B cell-derived lymphoma cases were included in the TMA analysis. The TMA analysis indicated gamma-glutamyltranspeptidase 1 as a potential additional marker that can be included in a panel of markers for differential diagnosis of cHL versus NHL.
authors.affiliation: Department of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.|Ph.D. Program in Molecular Life Sciences, University of Zurich (UZH)/ETH Zurich, Zurich, Switzerland.
authors.forename: Andreas
authors.initials: A
authors.lastname: Hofmann
authors.affiliation: Institute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland.
authors.forename: Thore
authors.initials: T
authors.lastname: Thiesler
authors.affiliation: Functional Genomics Center Zurich, UZH/ETH Zurich, Zurich, Switzerland.
authors.forename: Bertran
authors.initials: B
authors.lastname: Gerrits
authors.affiliation: Institute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland.
authors.forename: Silvia
authors.initials: S
authors.lastname: Behnke
authors.affiliation: Department of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.|Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
authors.forename: Nadine
authors.initials: N
authors.lastname: Sobotzki
authors.affiliation: Department of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
authors.forename: Ulrich
authors.initials: U
authors.lastname: Omasits
authors.affiliation: Department of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.|Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
authors.forename: Damaris
authors.initials: D
authors.lastname: Bausch-Fluck
authors.affiliation: Department of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
authors.forename: Thomas
authors.initials: T
authors.lastname: Bock
authors.affiliation: Department of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.|Faculty of Science, UZH, Zurich, Switzerland.
authors.forename: Ruedi
authors.initials: R
authors.lastname: Aebersold
authors.affiliation: Institute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland.
authors.forename: Holger
authors.initials: H
authors.lastname: Moch
authors.affiliation: Institute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland.
authors.forename: Marianne
authors.initials: M
authors.lastname: Tinguely
authors.affiliation: Department of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.|Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
authors.forename: Bernd
authors.initials: B
authors.lastname: Wollscheid
mesh_terms: D015703:Antigens, CD / Q000378:metabolism; D002460:Cell Line; D006689:Hodgkin Disease / Q000378:metabolism* / Q000473:pathology; D006801:Humans; D007150:Immunohistochemistry; D008228:Lymphoma, Non-Hodgkin / Q000378:metabolism* / Q000473:pathology; D008565:Membrane Proteins / Q000378:metabolism*; D009363:Neoplasm Proteins / Q000378:metabolism; D010641:Phenotype; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics; D046888:Tissue Array Analysis
chemical_list: D015703:Antigens, CD; D008565:Membrane Proteins; D009363:Neoplasm Proteins; D020543:Proteome
keywords: Cell surface capture technology; Cell surface proteins; Classical Hodgkin lymphoma; MS-based phenotyping; Surfaceome