Literature DB >> 23372049

Large genomic aberrations detected by SNP array are independent prognosticators of a shorter time to first treatment in chronic lymphocytic leukemia patients with normal FISH.

M Mian1, A Rinaldi, A A Mensah, D Rossi, M Ladetto, F Forconi, R Marasca, M Uhr, G Stussi, I Kwee, F Cavalli, G Gaidano, E Zucca, F Bertoni.   

Abstract

BACKGROUND: Genomic complexity can predict the clinical course of patients affected by chronic lymphocytic leukemia (CLL) with a normal FISH. However, large studies are still lacking. Here, we analyzed a large series of CLL patients and also carried out the so far largest comparison of FISH versus single-nucleotide polymorphism (SNP) array in this disease. PATIENTS AND METHODS: SNP-array data were derived from a previously reported dataset.
RESULTS: Seventy-seven of 329 CLL patients (23%) presented with a normal FISH. At least one large (>5 Mb) genomic aberration was detected by SNP array in 17 of 77 patients (22%); this finding significantly affected TTT. There was no correlation with the presence of TP53 mutations. In multivariate analysis, including age, Binet stage, IGHV genes mutational status and large genomic lesion, the latter three factors emerged as independent prognosticators. The concordance between FISH and SNP array varied between 84 and 97%, depending on the specific genomic locus investigated.
CONCLUSIONS: SNP array detected additional large genomic aberrations not covered by the standard FISH panel predicting the outcome of CLL patients.

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Year:  2013        PMID: 23372049     DOI: 10.1093/annonc/mds646

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  7 in total

1.  High fluorescence in situ hybridization percentage of deletion 11q in patients with chronic lymphocytic leukemia is an independent predictor of adverse outcome.

Authors:  Preetesh Jain; Michael Keating; Phillip A Thompson; Long Trinh; Xuemei Wang; William Wierda; Alessandra Ferrajoli; Jan Burger; Hagop Kantarjian; Zeev Estrov; Lynne Abruzzo; Susan O'Brien
Journal:  Am J Hematol       Date:  2015-03-30       Impact factor: 10.047

2.  Clinical application of targeted and genome-wide technologies: can we predict treatment responses in chronic lymphocytic leukemia?

Authors:  Reem Alsolami; Samantha Jl Knight; Anna Schuh
Journal:  Per Med       Date:  2013-06-01       Impact factor: 2.512

3.  High Viral Loads of Epstein-Barr Virus DNA in Peripheral Blood of Patients with Chronic Lymphocytic Leukemia Associated with Unfavorable Prognosis.

Authors:  Ewelina Grywalska; Jacek Roliński; Marcin Pasiarski; Izabela Korona-Glowniak; Maciej Maj; Agata Surdacka; Agnieszka Grafka; Agnieszka Stelmach-Gołdyś; Michał Zgurski; Stanisław Góźdź; Anna Malm; Piotr Grabarczyk; Elżbieta Starosławska
Journal:  PLoS One       Date:  2015-10-13       Impact factor: 3.240

4.  Identification of prognostic relevant chromosomal abnormalities in chronic lymphocytic leukemia using microarray-based genomic profiling.

Authors:  Marian Jpl Stevens-Kroef; Eva van den Berg; Daniel Olde Weghuis; Ad Geurts van Kessel; Rolph Pfundt; Matty Linssen-Wiersma; Marloes Benjamins; Trijnie Dijkhuizen; Patricia Jta Groenen; Annet Simons
Journal:  Mol Cytogenet       Date:  2014-01-09       Impact factor: 2.009

Review 5.  SNP Array in Hematopoietic Neoplasms: A Review.

Authors:  Jinming Song; Haipeng Shao
Journal:  Microarrays (Basel)       Date:  2015-12-22

6.  Detection of chromothripsis-like patterns with a custom array platform for chronic lymphocytic leukemia.

Authors:  Itziar Salaverria; David Martín-Garcia; Cristina López; Guillem Clot; Manel García-Aragonés; Alba Navarro; Julio Delgado; Tycho Baumann; Magda Pinyol; Idoia Martin-Guerrero; Ana Carrió; Dolors Costa; Ana C Queirós; Sandrine Jayne; Marta Aymerich; Neus Villamor; Dolors Colomer; Marcos González; Armando López-Guillermo; Elías Campo; Martin J S Dyer; Reiner Siebert; Lluís Armengol; Sílvia Beà
Journal:  Genes Chromosomes Cancer       Date:  2015-08-25       Impact factor: 5.006

Review 7.  Advances in Lymphoma Molecular Diagnostics.

Authors:  Igor Age Kos; Lorenz Thurner; Joerg Thomas Bittenbring; Konstantinos Christofyllakis; Dominic Kaddu-Mulindwa
Journal:  Diagnostics (Basel)       Date:  2021-11-23
  7 in total

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