Literature DB >> 16789901

Proteomic strategies for individualizing therapy of acute myeloid leukemia (AML).

Gry Sjøholt1, Siv Lise Bedringaas, Anne P Døskeland, Bjørn Tore Gjertsen.   

Abstract

Acute myeloid leukemia (AML) is an aggressive hematological malignancy characterized by accumulating myeloid precursor cells in the bone marrow, with approximately 2-3 months 50% survival if left untreated. With current treatment modalities the five years overall survival hardly exceeds 50%. Cytogenetics and molecular diagnostics guide the clinician to select individualized therapy in certain subsets of AML, achieving long-term survival above 70% of these cases. However, approximately half of the AML patients have no risk stratifying features, and early reports indicate that proteomic approaches may be utilized for disease classification as well as development of novel biomarkers related to prognosis, diagnosis, and choice of therapeutic regimen. Proteomics, here defined as the analysis of all proteins in a cell, in a cell compartment or in a signaling pathway, has probably its greatest potential in investigating pathways that are easily targeted by small molecules or therapeutic antibodies. The major methodological challenges include detection sensitivity in a limited clinical material, a problem that in some cases can be solved through designated multiplexed protein assays based on single cells or cell extracts. In this review we will discuss pharmacoproteomic studies of drugs regulating leukemia specific targets like all-trans retinoic acid, histone deacetylase inhibitors, proteasome inhibitors and tyrosine kinase inhibitors, as well as studies on drug resistance and graft-versus-host studies during stem cell transplantations. These studies indicate new avenues in AML diagnostics, individualized therapy design and therapy response surveillance for the clinician.

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Year:  2006        PMID: 16789901     DOI: 10.2174/138920106777549759

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  3 in total

Review 1.  Acute myeloid leukemia with normal cytogenetics.

Authors:  Raya Mawad; Elihu H Estey
Journal:  Curr Oncol Rep       Date:  2012-10       Impact factor: 5.075

2.  Gel2DE - a software tool for correlation analysis of 2D gel electrophoresis data.

Authors:  Ola Kristoffer Øye; Katarina M Jørgensen; Sigrun M Hjelle; André Sulen; Dag Magne Ulvang; Bjørn Tore Gjertsen
Journal:  BMC Bioinformatics       Date:  2013-07-06       Impact factor: 3.169

Review 3.  Proteomics studies reveal important information on small molecule therapeutics: a case study on plasma proteins.

Authors:  Lello Zolla
Journal:  Drug Discov Today       Date:  2008-11-07       Impact factor: 7.851

  3 in total

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