Literature DB >> 22810507

Altered miRNA and gene expression in acute myeloid leukemia with complex karyotype identify networks of prognostic relevance.

F G Rücker1, A C Russ, S Cocciardi, H Kett, R F Schlenk, U Botzenhardt, C Langer, J Krauter, S Fröhling, B Schlegelberger, A Ganser, P Lichter, T Zenz, H Döhner, K Döhner, L Bullinger.   

Abstract

Recently, the p53-miR-34a network has been identified to have an important role in tumorigenesis. As in acute myeloid leukemia with complex karyotype (CK-AML) TP53 alterations are the most common known molecular lesion, we further analyzed the p53-miR-34a axis in a large cohort of CK-AML with known TP53 status (TP53(altered), n=57; TP53(unaltered), n=31; altered indicates loss and/or mutation of TP53). Profiling microRNA (miRNA) expression delineated TP53 alteration-associated miRNA profiles, and identified miR-34a and miR-100 as the most significantly down- and upregulated miRNA, respectively. Moreover, we found a distinct miR-34a expression-linked gene expression profile enriched for genes belonging to p53-associated pathways, and implicated in cell cycle progression or apoptosis. Clinically, low miR-34a expression and TP53 alterations predicted for chemotherapy resistance and inferior outcome. Notably, in TP53(unaltered) CK-AML, high miR-34a expression predicted for inferior overall survival (OS), whereas in TP53(biallelic altered) CK-AML, high miR-34a expression pointed to better OS. Thus, detailed molecular profiling links impaired p53 to decreased miR-34a expression, but also identifies p53-independent miR-34a induction mechanisms as shown in TP53(biallelic altered) cell lines treated with 15-deoxy-Δ(12,14)-prostaglandin. An improved understanding of this mechanism might provide novel therapeutic options to restore miR-34a function and thereby induce cell cycle arrest and apoptosis in TP53(altered) CK-AML.

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Year:  2012        PMID: 22810507     DOI: 10.1038/leu.2012.208

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  24 in total

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Review 5.  MicroRNAs in the p53 network: micromanagement of tumour suppression.

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Journal:  Nat Rev Cancer       Date:  2012-08-17       Impact factor: 60.716

6.  MicroRNA expression at diagnosis adds relevant prognostic information to molecular categorization in patients with intermediate-risk cytogenetic acute myeloid leukemia.

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Journal:  Leukemia       Date:  2013-09-27       Impact factor: 11.528

Review 7.  MicroRNAome genome: a treasure for cancer diagnosis and therapy.

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10.  Upregulation of microRNA-100 predicts poor prognosis in patients with pediatric acute myeloid leukemia.

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