Direkt zum Inhalt

Blenk, Steffen ; Engelmann, Julia C. ; Pinkert, Stefan ; Weniger, Markus ; Schultz, Jörg ; Rosenwald, Andreas ; Müller-Hermelink, Hans K. ; Müller, Tobias ; Dandekar, Thomas

Explorative data analysis of MCL reveals gene expression networks implicated in survival and prognosis supported by explorative CGH analysis

Blenk, Steffen, Engelmann, Julia C., Pinkert, Stefan, Weniger, Markus, Schultz, Jörg, Rosenwald, Andreas, Müller-Hermelink, Hans K., Müller, Tobias und Dandekar, Thomas (2008) Explorative data analysis of MCL reveals gene expression networks implicated in survival and prognosis supported by explorative CGH analysis. BMC cancer 8, S. 106.

Veröffentlichungsdatum dieses Volltextes: 20 Aug 2014 08:19
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.30678


Zusammenfassung

BACKGROUND: Mantle cell lymphoma (MCL) is an incurable B cell lymphoma and accounts for 6% of all non-Hodgkin's lymphomas. On the genetic level, MCL is characterized by the hallmark translocation t(11;14) that is present in most cases with few exceptions. Both gene expression and comparative genomic hybridization (CGH) data vary considerably between patients with implications for their ...

BACKGROUND:
Mantle cell lymphoma (MCL) is an incurable B cell lymphoma and accounts for 6% of all non-Hodgkin's lymphomas. On the genetic level, MCL is characterized by the hallmark translocation t(11;14) that is present in most cases with few exceptions. Both gene expression and comparative genomic hybridization (CGH) data vary considerably between patients with implications for their prognosis.
METHODS:
We compare patients over and below the median of survival. Exploratory principal component analysis of gene expression data showed that the second principal component correlates well with patient survival. Explorative analysis of CGH data shows the same correlation.
RESULTS:
On chromosome 7 and 9 specific genes and bands are delineated which improve prognosis prediction independent of the previously described proliferation signature. We identify a compact survival predictor of seven genes for MCL patients. After extensive re-annotation using GEPAT, we established protein networks correlating with prognosis. Well known genes (CDC2, CCND1) and further proliferation markers (WEE1, CDC25, aurora kinases, BUB1, PCNA, E2F1) form a tight interaction network, but also non-proliferative genes (SOCS1, TUBA1B CEBPB) are shown to be associated with prognosis. Furthermore we show that aggressive MCL implicates a gene network shift to higher expressed genes in late cell cycle states and refine the set of non-proliferative genes implicated with bad prognosis in MCL.
CONCLUSION:
The results from explorative data analysis of gene expression and CGH data are complementary to each other. Including further tests such as Wilcoxon rank test we point both to proliferative and non-proliferative gene networks implicated in inferior prognosis of MCL and identify suitable markers both in gene expression and CGH data.



Beteiligte Einrichtungen


Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftBMC cancer
Verlag:BMC
Band:8
Seitenbereich:S. 106
DatumApril 2008
InstitutionenMedizin > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Informatik und Data Science > Fachbereich Bioinformatik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identifikationsnummer
WertTyp
18416826PubMed-ID
10.1186/1471-2407-8-106DOI
Klassifikation
NotationArt
Chromosomes, Human, Pair 7MESH
Chromosomes, Human, Pair 9MESH
Cyclin B/geneticsMESH
Cyclin DMESH
Cyclins/geneticsMESH
Gene ExpressionMESH
HumansMESH
Lymphoma, B-Cell/metabolismMESH
Lymphoma, Mantle-Cell/metabolismMESH
Nucleic Acid Hybridization/methodsMESH
PrognosisMESH
Dewey-Dezimal-Klassifikation500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenZum Teil
URN der UB Regensburgurn:nbn:de:bvb:355-epub-306782
Dokumenten-ID30678

Bibliographische Daten exportieren

Nur für Besitzer und Autoren: Kontrollseite des Eintrags

nach oben