Találati lista | Tudóstér

001-es BibID:	BIBFORM065340
Első szerző:	Nagy Bálint (molekuláris genetikus)
Cím:	Abnormal expression of apoptosis-related genes in haematological malignancies : overexpression of MYC is poor prognostic sign in mantle cell lymphoma / Bálint Nagy, Tuija Lundán, Marcelo L. Larramendy, Yan Aalto, Ying Zhu, Tarja Niini, Henrik Edgren, Anna Ferrer, Juhani Vilpo, Erkki Elonen, Kim Vettenranta, Kaarle Franssila, Sakari Knuutila
Dátum:	2003
ISSN:	0007-1048
Megjegyzések:	The expression of apoptosis-related genes BCL2, BAX, BCL2L1, BCL2A1, MCL1, DAPK1 and MYC was studied by quantitative real-time polymerase chain reaction on total RNA samples from patients with acute lymphoblastic leukaemia (ALL, n = 16), acute myeloid leukaemia (AML, n = 27), chronic myeloid leukaemia (CML, n = 12), mantle cell lymphoma (MCL, n = 19) and chronic lymphoid leukaemia (CLL, n = 32). BCL2, BAX, BCL2A1, MCL1, DAPK1 and MYC were overexpressed in all patient groups. BCL2L1 was underexpressed in CLL and CML, but not in AML, ALL and MCL. MCL1 levels were significantly higher in CD13 and CD33-positive ALL, and in CD56-positive AML samples. BCL2, BCL2L1, BCL2A1 and MCL1 were overexpressed and DAPK1 was underexpressed in CLL samples with a 11q23 deletion. MYC overexpression was significantly associated with shorter overall survival in MCL (P < 0.01). AML patients with a normal karyotype showed a higher frequency of BCL2A1 overexpression (P < 0.001) than those with an abnormal karyotype.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban mantle cell lymphoma gene expression myc prognostic
Megjelenés:	British Journal Of Haematology. - 120 (2003), p. 434-441. -
További szerzők:	Lundán, Tuija Larramendy, Marcelo L. Aalto, Yan Zhu, Ying Niini, Tarja Edgren, Henrik Ferrer, Anna Vilpo, Juhani Elonen, Erkki Vettenranta, Kim Franssila, Kaarle Knuutila, Sakari
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM065342
Első szerző:	Zhu, Ying
Cím:	Investigatory and analytical approaches to differential gene expression profiling in mantle cell lymphoma / Ying Zhu, Jaakko Hollmén, Riikka Räty, Yan Aalto, Balint Nagy, Erkki Elonen, Juha Kere, Heikki Mannila, Kaarle Franssila, Sakari Knuutila
Dátum:	2002
ISSN:	0007-1048
Megjegyzések:	Mantle cell lymphoma (MCL) is a non-Hodgkin's lymphoma of B-cell lineage. The blastoid variant of MCL, characterized by high mitotic rate, is clinically more aggressive than common MCL. We used the cDNA array technology to examine the gene expression profiles of both blastoid variant and common MCL. The data was analysed by regression analysis, principal component analysis and the naive Bayes' classifier. Eight genes were identified as differentially deregulated between the two groups. Oncogenes CMYC, BCL2 and PIM1 were upregulated more frequently in the blastoid variant than in common MCL. This implied that the gp130-mediated signal transducer and activator of transcription 3 (STAT3) signalling pathway was involved in the blastoid variant transformation of MCL. Other differentially deregulated genes were TOP1, CD23, CD45, CD70 and NFATC. By using the eight differentially deregulated genes, we created a classifier to distinguish the blastoid variant from common MCL with high accuracy. We also identified 18 genes that were deregulated in both groups. Among them, BCL1, CALLA/CD10 and GRN were suggested to be oncogenes. The products of RGS1, RGS2, ANX2 and CD44H were suggested to promote tumour metastasis. CD66D was suggested to be a tumour suppressor gene.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk gene expression mantle cell lymphoma
Megjelenés:	British Journal Of Haematology. - 119 (2002), p. 905-915. -
További szerzők:	Hollmén, Jaakko Räty, Riikka Aalto, Yan Nagy Bálint (1956-) (molekuláris genetikus) Elonen, Erkki Kere, Juha Mannila, Heikki Franssila, Kaarle Knuutila, Sakari
Internet cím:	DOI Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: