Proteomic profiling of mature CD10+ B-cell lymphomas

Guang Fan, Michael Molstad, Rita Braziel, Melissa Standley, James Huang, William Rodgers, Srinivasa Nagalla

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

Proteomic profiling with protein-chip technology has been used successfully to discover biomarkers with potential clinical usefulness in several cancer types. Little proteomic study has been done in B-cell lymphomas. We determined whether the expression of a set of proteins by protein-chip technology coupled with new informatics tools could be used to build a model to molecularly classify B-cell lymphoma subgroups. We used surface-enhanced laser desorption/ionization time-of-flight mass spectrometry to analyze 18 CD10+ B-cell lymphomas, including 6 grade 1 (G1) follicular lymphomas (FLs), 7 grade 3 (G3) FLs, and 5 Burkitt lymphomas. We used 7 reactive follicular hyperplasia cases as a control group. By using SAX2 ProteinChip arrays (Ciphergen Biosystems, Fremont, CA), we found a unique protein expression profile for each type of lesion. Two-way hierarchical clustering analysis of these protein expression profiles differentiated reactive follicular hyperplasia, FL, and Burkitt lymphoma, with 5 major clusters of differentially expressed protein peaks. In addition, we identified histone H4 as a potential differentially expressed protein marker that seems to distinguish G1 from G3 FL. To our knowledge, this is the first proteomic study using protein-chip technology for molecular classification of B-cell lymphoma subtypes with clinical samples.

Original languageEnglish (US)
Pages (from-to)920-929
Number of pages10
JournalAmerican Journal of Clinical Pathology
Volume124
Issue number6
DOIs
Publication statusPublished - Dec 2005

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Keywords

  • Burkitt lymphoma
  • Follicular lymphoma
  • Protein expression profile
  • Reactive follicular hyperplasia
  • SELDI-TOF-MS

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

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