Literature DB >> 16206328

Protein expression pattern distinguishes different lymphoid neoplasms.

Kazuyasu Fujii1, Tadashi Kondo, Hideki Yokoo, Tesshi Yamada, Yoshihiro Matsuno, Keiji Iwatsuki, Setsuo Hirohashi.   

Abstract

To identify proteins associated with the histological subtypes of lymphoid neoplasms, we studied the proteomes of 42 cell lines from human lymphoid neoplasms including Hodgkin's lymphoma (HL; four cell lines), B cell malignancies (19 cell lines), T cell malignancies (16 cell lines), and natural killer (NK) cell lymphoma (three cell lines). The protein spots were sequentially selected by (i) Wilcoxon or Kruskal-Wallis tests to find the spots whose intensity was significantly (p <0.05) different among the cell line groups, (ii) by statistical-learning methods to prioritize the spots according to their contribution to the classification, and (iii) by unsupervised classification methods to validate the classification robustness by the selected spots. The selected spots discriminated (i) between HL cells and other cells, (ii) between the cells from B cell malignancies, T cell malignancies, and NK cell lymphoma cells, and (iii) between HL cells and anaplastic large cell lymphoma cells. Among the 31 informative protein spots, MS identified 24 proteins corresponding to 23 spots. Previous reports did not correlate these proteins to lymphocyte differentiation, suggesting that a proteomic study would identify the novel mechanisms responsible for the histogenesis of lymphoid neoplasms. These proteins may have potential as differential diagnostic markers for lymphoid neoplasms.

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Year:  2005        PMID: 16206328     DOI: 10.1002/pmic.200401286

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

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Authors:  Kristina Schwamborn; René C Krieg; Peggy Jirak; German Ott; Ruth Knüchel; Andreas Rosenwald; Axel Wellmann
Journal:  J Cancer Res Clin Oncol       Date:  2010-02-21       Impact factor: 4.553

2.  Proteomics Based Identification of Proteins with Deregulated Expression in B Cell Lymphomas.

Authors:  Rui Wu; Marcel Nijland; Bea Rutgers; Rianne Veenstra; Myra Langendonk; Lotte E van der Meeren; Philip M Kluin; Guanwu Li; Arjan Diepstra; Jen-Fu Chiu; Anke van den Berg; Lydia Visser
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

3.  Proteome dynamics of cold-acclimating Rhododendron species contrasting in their freezing tolerance and thermonasty behavior.

Authors:  Jose V Die; Rajeev Arora; Lisa J Rowland
Journal:  PLoS One       Date:  2017-05-23       Impact factor: 3.240

4.  Plasma proteomics of pancreatic cancer patients by multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis (2D-DIGE): up-regulation of leucine-rich alpha-2-glycoprotein in pancreatic cancer.

Authors:  Tatsuhiko Kakisaka; Tadashi Kondo; Tetsuya Okano; Kiyonaga Fujii; Kazufumi Honda; Mitsufumi Endo; Akihiko Tsuchida; Tatsuya Aoki; Takao Itoi; Fuminori Moriyasu; Tesshi Yamada; Harubumi Kato; Toshihide Nishimura; Satoru Todo; Setsuo Hirohashi
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2007-02-01       Impact factor: 3.205

5.  Immune-Proteome Profiling in Classical Hodgkin Lymphoma Tumor Diagnostic Tissue.

Authors:  Alex Reza Gholiha; Peter Hollander; Liza Löf; Anders Larsson; Jamileh Hashemi; Johan Mattsson Ulfstedt; Daniel Molin; Rose-Marie Amini; Eva Freyhult; Masood Kamali-Moghaddam; Gunilla Enblad
Journal:  Cancers (Basel)       Date:  2021-12-21       Impact factor: 6.639

  5 in total

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