Literature DB >> 21319261

Evaluation of TP53 mutations with the AmpliChip p53 research test in chronic lymphocytic leukemia: correlation with clinical outcome and gene expression profiling.

Sabina Chiaretti1, Simona Tavolaro, Marilisa Marinelli, Monica Messina, Ilaria Del Giudice, Francesca Romana Mauro, Simona Santangelo, Alfonso Piciocchi, Nadia Peragine, Sim Truong, Nancy Patten, Emanuela Maria Ghia, Isabella Torrente, Maria Stefania De Propris, Mauro Nanni, Jeff Lawrence, Anna Guarini, Robin Foà.   

Abstract

Given that TP53 alterations predict prognosis and response to therapy in chronic lymphocytic leukemia (CLL), screening for TP53 mutations has an increasing role in patient management. TP53 direct sequencing is a time-consuming method, while the AmpliChip p53 Research Test is a novel non time-consuming microarray-based resequencing assay and queries Exons 2-11. We evaluated the impact of TP53 mutations on clinical outcome by analyzing 98 untreated CLL using the AmpliChip p53 Research Test and direct sequencing and performed microarrays analysis on TP53 mutated and/or deleted cases. The AmpliChip p53 Research Test detected 17 mutations in 14 patients (17.3%); a significant association between TP53 mutations and del(17p) was recorded. From a clinical standpoint, a higher percentage of mutation was found in CLL with unfavorable outcome (17.2% vs. 7.1% in progressive vs. stable cases). Detection of TP53 mutations by the AmpliChip p53 Research Test was associated with a significantly worse survival (P = 0.0002). Comparison of the array and direct sequencing tests showed that the p53 Research Test detected more mutations, although it failed to identify two microdeletions. Finally, microarrays analysis showed a more distinctive signature associated with del(17p) than with TP53 mutations, likely due to a concomitant gene dosage effect. The AmpliChip p53 Research Test is a straightforward method that bears prognostic value. This study confirms a high percentage of TP53 mutations in CLL with unfavorable outcome and a significant association between TP53 aberrations and del(17p). Finally, specific gene expression profiles are recognized for TP53 alterations.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21319261     DOI: 10.1002/gcc.20852

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  13 in total

1.  NOTCH1 mutations in +12 chronic lymphocytic leukemia (CLL) confer an unfavorable prognosis, induce a distinctive transcriptional profiling and refine the intermediate prognosis of +12 CLL.

Authors:  Ilaria Del Giudice; Davide Rossi; Sabina Chiaretti; Marilisa Marinelli; Simona Tavolaro; Sara Gabrielli; Luca Laurenti; Roberto Marasca; Silvia Rasi; Marco Fangazio; Anna Guarini; Gianluca Gaidano; Robin Foà
Journal:  Haematologica       Date:  2011-12-29       Impact factor: 9.941

Review 2.  The role of TP53 network in the pathogenesis of chronic lymphocytic leukemia.

Authors:  Cheng Wang; Xin Wang
Journal:  Int J Clin Exp Pathol       Date:  2013-06-15

3.  A multiplex approach to the molecular diagnosis of β-thalassemia.

Authors:  Daniel E Sabath; Harvey A Greisman
Journal:  J Mol Diagn       Date:  2011-06-07       Impact factor: 5.568

4.  TP53 mutations are frequent in adult acute lymphoblastic leukemia cases negative for recurrent fusion genes and correlate with poor response to induction therapy.

Authors:  Sabina Chiaretti; Fulvia Brugnoletti; Simona Tavolaro; Silvia Bonina; Francesca Paoloni; Marilisa Marinelli; Nancy Patten; Massimiliano Bonifacio; Maria Grazia Kropp; Simona Sica; Anna Guarini; Robin Foà
Journal:  Haematologica       Date:  2013-02-12       Impact factor: 9.941

Review 5.  Molecular pathogenesis of chronic lymphocytic leukemia.

Authors:  Gianluca Gaidano; Robin Foà; Riccardo Dalla-Favera
Journal:  J Clin Invest       Date:  2012-10-01       Impact factor: 14.808

6.  Phase I Trial of the Human Double Minute 2 Inhibitor MK-8242 in Patients With Advanced Solid Tumors.

Authors:  Andrew J Wagner; Udai Banerji; Amit Mahipal; Neeta Somaiah; Heather Hirsch; Craig Fancourt; Amy O Johnson-Levonas; Raymond Lam; Amy K Meister; Giuseppe Russo; Clayton D Knox; Shelonitda Rose; David S Hong
Journal:  J Clin Oncol       Date:  2017-02-27       Impact factor: 44.544

7.  TP53 mutation analysis in chronic lymphocytic leukemia: comparison of different detection methods.

Authors:  Barbara Kantorova; Jitka Malcikova; Jana Smardova; Sarka Pavlova; Martin Trbusek; Nikola Tom; Karla Plevova; Boris Tichy; Sim Truong; Eva Diviskova; Jana Kotaskova; Alexandra Oltova; Nancy Patten; Yvona Brychtova; Michael Doubek; Jiri Mayer; Sarka Pospisilova
Journal:  Tumour Biol       Date:  2014-12-20

8.  Identification of molecular and functional patterns of p53 alterations in chronic lymphocytic leukemia patients in different phases of the disease.

Authors:  Marilisa Marinelli; Nadia Peragine; Valeria Di Maio; Sabina Chiaretti; Maria Stefania De Propris; Sara Raponi; Simona Tavolaro; Francesca Romana Mauro; Ilaria Del Giudice; Anna Guarini; Robin Foà
Journal:  Haematologica       Date:  2012-09-14       Impact factor: 9.941

9.  Adiposity is associated with p53 gene mutations in breast cancer.

Authors:  Heather M Ochs-Balcom; Catalin Marian; Jing Nie; Theodore M Brasky; David S Goerlitz; Maurizio Trevisan; Stephen B Edge; Janet Winston; Deborah L Berry; Bhaskar V Kallakury; Jo L Freudenheim; Peter G Shields
Journal:  Breast Cancer Res Treat       Date:  2015-09-12       Impact factor: 4.872

10.  Analytical Validation of AmpliChip p53 Research Test for Archival Human Ovarian FFPE Sections.

Authors:  Matthew J Marton; Andrew R McNamara; D Michele Nikoloff; Aki Nakao; Jonathan Cheng
Journal:  PLoS One       Date:  2015-06-30       Impact factor: 3.240

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