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Identification of uniquely expressed transcription factors in highly purified B-cell lymphoma samples.

Andreasson, Ulrika LU orcid ; Edén, Patrik LU ; Peterson, Carsten LU ; Högerkorp, Carl-Magnus LU ; Jerkeman, Mats LU ; Andersen, Niels ; Berglund, Mattias ; Sundström, Christer ; Rosenquist, Richard and Borrebaeck, Carl LU , et al. (2010) In American Journal of Hematology 85(6). p.418-425
Abstract
Transcription factors (TFs) are critical for B-cell differentiation, affecting gene expression both by repression and transcriptional activation. Still, this information is not used for classification of B-cell lymphomas (BCLs). Traditionally, BCLs are diagnosed based on a phenotypic resemblance to normal B-cells; assessed by immunohistochemistry or flow cytometry, by using a handful of phenotypic markers. In the last decade, diagnostic and prognostic evaluation has been facilitated by global gene expression profiling (GEP), providing a new powerful means for the classification, prediction of survival, and response to treatment of lymphomas. However, most GEP studies have typically been performed on whole tissue samples, containing varying... (More)
Transcription factors (TFs) are critical for B-cell differentiation, affecting gene expression both by repression and transcriptional activation. Still, this information is not used for classification of B-cell lymphomas (BCLs). Traditionally, BCLs are diagnosed based on a phenotypic resemblance to normal B-cells; assessed by immunohistochemistry or flow cytometry, by using a handful of phenotypic markers. In the last decade, diagnostic and prognostic evaluation has been facilitated by global gene expression profiling (GEP), providing a new powerful means for the classification, prediction of survival, and response to treatment of lymphomas. However, most GEP studies have typically been performed on whole tissue samples, containing varying degrees of tumor cell content, which results in uncertainties in data analysis. In this study, global GEP analyses were performed on highly purified, flow-cytometry sorted tumor-cells from eight subgroups of BCLs. This enabled identification of TFs that can be uniquely associated to the tumor cells of chronic lymphocytic leukemia (CLL), diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), hairy cell leukemia (HCL), and mantle cell lymphoma (MCL). The identified transcription factors influence both the global and specific gene expression of the BCLs and have possible implications for diagnosis and treatment. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
B-Cell: genetics, Lymphoma, B-Cell: pathology, Neoplasm Proteins: biosynthesis, Neoplasm Proteins: genetics, Messenger: biosynthesis, RNA, Neoplasm: biosynthesis, Transcription Factors: genetics, Transcription Factors: biosynthesis, B-Lymphocyte Subsets: pathology, B-Lymphocyte Subsets: metabolism, B-Cell: classification
in
American Journal of Hematology
volume
85
issue
6
pages
418 - 425
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000278352400005
  • pmid:20513119
  • scopus:77953067050
ISSN
0361-8609
DOI
10.1002/ajh.21701
language
English
LU publication?
yes
id
9585a1fb-1648-4726-a699-1eb0713fd6e6 (old id 1626491)
date added to LUP
2016-04-04 08:41:06
date last changed
2024-11-19 02:53:09
@article{9585a1fb-1648-4726-a699-1eb0713fd6e6,
  abstract     = {{Transcription factors (TFs) are critical for B-cell differentiation, affecting gene expression both by repression and transcriptional activation. Still, this information is not used for classification of B-cell lymphomas (BCLs). Traditionally, BCLs are diagnosed based on a phenotypic resemblance to normal B-cells; assessed by immunohistochemistry or flow cytometry, by using a handful of phenotypic markers. In the last decade, diagnostic and prognostic evaluation has been facilitated by global gene expression profiling (GEP), providing a new powerful means for the classification, prediction of survival, and response to treatment of lymphomas. However, most GEP studies have typically been performed on whole tissue samples, containing varying degrees of tumor cell content, which results in uncertainties in data analysis. In this study, global GEP analyses were performed on highly purified, flow-cytometry sorted tumor-cells from eight subgroups of BCLs. This enabled identification of TFs that can be uniquely associated to the tumor cells of chronic lymphocytic leukemia (CLL), diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), hairy cell leukemia (HCL), and mantle cell lymphoma (MCL). The identified transcription factors influence both the global and specific gene expression of the BCLs and have possible implications for diagnosis and treatment.}},
  author       = {{Andreasson, Ulrika and Edén, Patrik and Peterson, Carsten and Högerkorp, Carl-Magnus and Jerkeman, Mats and Andersen, Niels and Berglund, Mattias and Sundström, Christer and Rosenquist, Richard and Borrebaeck, Carl and Ek, Sara}},
  issn         = {{0361-8609}},
  keywords     = {{B-Cell: genetics; Lymphoma; B-Cell: pathology; Neoplasm Proteins: biosynthesis; Neoplasm Proteins: genetics; Messenger: biosynthesis; RNA; Neoplasm: biosynthesis; Transcription Factors: genetics; Transcription Factors: biosynthesis; B-Lymphocyte Subsets: pathology; B-Lymphocyte Subsets: metabolism; B-Cell: classification}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{418--425}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{American Journal of Hematology}},
  title        = {{Identification of uniquely expressed transcription factors in highly purified B-cell lymphoma samples.}},
  url          = {{http://dx.doi.org/10.1002/ajh.21701}},
  doi          = {{10.1002/ajh.21701}},
  volume       = {{85}},
  year         = {{2010}},
}