Literature DB >> 16789904

Proteomics of p53 in diagnostics and therapy of acute myeloid leukemia.

Nina Anensen1, Ingvild Haaland, Clive D'Santos, Werner Van Belle, Bjørn Tore Gjertsen.   

Abstract

The anti-oncogene TP53 is frequently mutated in human cancer, but in hematological malignancies this is a rare feature. In acute myeloid leukemia (AML) more than 90% of the patients comprise wild type TP53 in their cancer cells, but if TP53 is mutated or deleted the disease is often found to be chemoresistant. In this review we define proteomics of the oncogene product p53 as the study of proteins in the p53 regulating signaling networks, as well as the protein study of members of the p53 family itself. Various messenger RNA splice forms as well as a multitude of post-translational modifications give a high number of protein isoforms in the p53 family. Some of the proteomic techniques allow detection of various isoforms, such as two-dimensional gel electrophoresis in combination with tandem mass spectrometry (MS/MS) and this methodology may therefore increasingly be used as a diagnostic tool in human disease. We introduce the p53 protein as an illustration of the complexity of post-translational modifications that may affect one highly connected protein and discuss the possible impact in AML diagnostics if the p53 profile is reflecting cell stress and status of signal transduction systems of the malignancy.

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Year:  2006        PMID: 16789904     DOI: 10.2174/138920106777549731

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


  4 in total

Review 1.  Deciphering post-translational modification codes.

Authors:  Adam P Lothrop; Matthew P Torres; Stephen M Fuchs
Journal:  FEBS Lett       Date:  2013-02-10       Impact factor: 4.124

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

3.  DCK is an Unfavorable Prognostic Biomarker and Correlated With Immune Infiltrates in Liver Cancer.

Authors:  Shu Fang Hu; Xia Lin; Lv Ping Xu; Hong Gang Chen; Ju Feng Guo; Li Jin
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

Review 4.  p53 Isoforms in Cellular Senescence- and Ageing-Associated Biological and Physiological Functions.

Authors:  Kaori Fujita
Journal:  Int J Mol Sci       Date:  2019-11-29       Impact factor: 5.923

  4 in total

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