Literature DB >> 16648862

Expression profiling of transcription factors Pax-5, Oct-1, Oct-2, BOB.1, and PU.1 in Hodgkin's and non-Hodgkin's lymphomas: a comparative study using high throughput tissue microarrays.

Ryan C McCune1, Sergei I Syrbu, Mohammad A Vasef.   

Abstract

Analysis of B-cell-specific transcription factors is useful in understanding of the differentiation-linked phenotype in Hodgkin's as well as in non-Hodgkin's lymphomas. We analyzed the expression profiling of transcription factors Pax-5, Oct-1, Oct-2, BOB.1, and PU.1 in 109 cases, including non-Hodgkin's lymphomas of B- and T-lineage, classical Hodgkin's lymphomas, and nodular lymphocyte predominant Hodgkin's lymphomas. Our study revealed that all transcription factors were universally expressed in all cases of nodular lymphocyte predominant Hodgkin's and variably expressed in non-Hodgkin's lymphomas of B-lineage. Cases of classical Hodgkin's lymphoma variably expressed the Pax-5, Oct-1, Oct-2, and BOB.1. However, in contrast to nodular lymphocyte predominant Hodgkin's lymphoma, the transcription factor PU.1 was consistently absent in all cases of classical Hodgkin's lymphoma. Transcription factors Pax-5, BOB.1, and PU.1 were not detectable in cases of anaplastic large cell lymphoma. However, the Oct-1 was detected in all anaplastic large cells lymphoma cases, indicating that expression of this transcription factor was not restricted to B-lineage lymphoid malignancies. Our findings suggest that inclusion of the PU.1 antibody may prove useful in separating classical Hodgkin's lymphomas from nodular lymphocyte predominant Hodgkin's lymphomas in problematic cases.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16648862     DOI: 10.1038/modpathol.3800622

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  12 in total

Review 1.  The RUNX1-PU.1 axis in the control of hematopoiesis.

Authors:  Maria Rosaria Imperato; Pierre Cauchy; Nadine Obier; Constanze Bonifer
Journal:  Int J Hematol       Date:  2015-03-08       Impact factor: 2.490

Review 2.  The role of Pax5 in leukemia: diagnosis and prognosis significance.

Authors:  Mohammad Shahjahani; Fatemeh Norozi; Ahmad Ahmadzadeh; Saeid Shahrabi; Farzaneh Tavakoli; Ali Amin Asnafi; Najmaldin Saki
Journal:  Med Oncol       Date:  2014-11-27       Impact factor: 3.064

3.  PU.1-dependent regulation of UCH L1 expression in B-lymphoma cells.

Authors:  Anjali Bheda; Wei Yue; Anuradha Gullapalli; Julia Shackelford; Joseph S Pagano
Journal:  Leuk Lymphoma       Date:  2011-04-20

4.  PAX-5: a valuable immunohistochemical marker in the differential diagnosis of lymphoid neoplasms.

Authors:  Mohamed M Desouki; Ginell R Post; Daniel Cherry; John Lazarchick
Journal:  Clin Med Res       Date:  2010-07

5.  Pathophysiology and molecular aspects of diffuse large B-cell lymphoma.

Authors:  Gisele Rodrigues Gouveia; Sheila Aparecida Coelho Siqueira; Juliana Pereira
Journal:  Rev Bras Hematol Hemoter       Date:  2012

6.  Pheno- and genotypic features of Epstein-Barr virus associated B-cell lymphoproliferations in peripheral T-cell lymphomas.

Authors:  Gábor Smuk; Arpád Illés; Katalin Keresztes; László Kereskai; Balázs Márton; Zsófia Nagy; Agnes Lacza; László Pajor
Journal:  Pathol Oncol Res       Date:  2009-12-17       Impact factor: 3.201

7.  An atlas of the Epstein-Barr virus transcriptome and epigenome reveals host-virus regulatory interactions.

Authors:  Aaron Arvey; Italo Tempera; Kevin Tsai; Horng-Shen Chen; Nadezhda Tikhmyanova; Michael Klichinsky; Christina Leslie; Paul M Lieberman
Journal:  Cell Host Microbe       Date:  2012-08-16       Impact factor: 21.023

8.  Expression of p63 in anaplastic large cell lymphoma but not in classical Hodgkin's lymphoma.

Authors:  Gabriela Gualco; Lawrence M Weiss; Carlos E Bacchi
Journal:  Hum Pathol       Date:  2008-07-11       Impact factor: 3.466

Review 9.  Hodgkin lymphoma: an update on its biology with new insights into classification.

Authors:  Haresh Mani; Elaine S Jaffe
Journal:  Clin Lymphoma Myeloma       Date:  2009-06

10.  CluGene: A Bioinformatics Framework for the Identification of Co-Localized, Co-Expressed and Co-Regulated Genes Aimed at the Investigation of Transcriptional Regulatory Networks from High-Throughput Expression Data.

Authors:  Tania Dottorini; Pietro Palladino; Nicola Senin; Tania Persampieri; Roberta Spaccapelo; Andrea Crisanti
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.