Literature DB >> 21882283

Microarray-based genomic profiling as a diagnostic tool in acute lymphoblastic leukemia.

Annet Simons1, Marian Stevens-Kroef, Najat El Idrissi-Zaynoun, Sabine van Gessel, Daniel Olde Weghuis, Eva van den Berg, Esmé Waanders, Peter Hoogerbrugge, Roland Kuiper, Ad Geurts van Kessel.   

Abstract

In acute lymphoblastic leukemia (ALL) specific genomic abnormalities provide important clinical information. In most routine clinical diagnostic laboratories conventional karyotyping, in conjunction with targeted screens using e.g., fluorescence in situ hybridization (FISH), is currently considered as the gold standard to detect such aberrations. Conventional karyotyping, however, is limited in its resolution and yield, thus hampering the genetic diagnosis of ALL. We explored whether microarray-based genomic profiling would be feasible as an alternative strategy in a routine clinical diagnostic setting. To this end, we compared conventional karyotypes with microarray-deduced copy number aberration (CNA) karyotypes in 60 ALL cases. Microarray-based genomic profiling resulted in a CNA detection rate of 90%, whereas for conventional karyotyping this was 61%. In addition, many small (< 5 Mb) genetic lesions were encountered, frequently harboring clinically relevant ALL-related genes such as CDKN2A/B, ETV6, PAX5, and IKZF1. From our data we conclude that microarray-based genomic profiling serves as a robust tool in the genetic diagnosis of ALL, outreaching conventional karyotyping in CNA detection both in terms of sensitivity and specificity. We also propose a practical workflow for a comprehensive and objective interpretation of CNAs obtained through microarray-based genomic profiling, thereby facilitating its application in a routine clinical diagnostic setting.
Copyright © 2011 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 21882283     DOI: 10.1002/gcc.20919

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


  8 in total

1.  Array-based comparative genomic hybridization detects copy number variations with prognostic relevance in 80% of ALL with normal karyotype or failed chromosome analysis.

Authors:  V Mühlbacher; T Haferlach; W Kern; M Zenger; S Schnittger; C Haferlach
Journal:  Leukemia       Date:  2015-10-09       Impact factor: 11.528

2.  Integration of cytogenomic data for furthering the characterization of pediatric B-cell acute lymphoblastic leukemia: a multi-institution, multi-platform microarray study.

Authors:  Linda B Baughn; Jaclyn A Biegel; Sarah T South; Teresa A Smolarek; Suzanne Volkert; Andrew J Carroll; Nyla A Heerema; Karen R Rabin; Patrick A Zweidler-McKay; Mignon Loh; Betsy Hirsch
Journal:  Cancer Genet       Date:  2014-11-21

3.  Section E6.1-6.4 of the ACMG technical standards and guidelines: chromosome studies of neoplastic blood and bone marrow-acquired chromosomal abnormalities.

Authors:  Fady M Mikhail; Nyla A Heerema; Kathleen W Rao; Rachel D Burnside; Athena M Cherry; Linda D Cooley
Journal:  Genet Med       Date:  2016-04-28       Impact factor: 8.822

4.  Microarray-based genomic profiling and in situ hybridization on fibrotic bone marrow biopsies for the identification of numerical chromosomal abnormalities in myelodysplastic syndrome.

Authors:  Marian Jpl Stevens-Kroef; Konnie M Hebeda; Eugène T Verwiel; Eveline J Kamping; Patricia H van Cleef; Roland P Kuiper; Patricia Jta Groenen
Journal:  Mol Cytogenet       Date:  2015-05-28       Impact factor: 2.009

5.  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

6.  Microarray analysis of serum mRNA in patients with head and neck squamous cell carcinoma at whole-genome scale.

Authors:  Markéta Čapková; Jana Šáchová; Hynek Strnad; Michal Kolář; Miluše Hroudová; Martin Chovanec; Zdeněk Čada; Martin Šteffl; Jaroslav Valach; Jan Kastner; Čestmír Vlček; Karel Smetana; Jan Plzák
Journal:  Biomed Res Int       Date:  2014-04-23       Impact factor: 3.411

7.  Genome-Wide DNA Copy Number Analysis of Acute Lymphoblastic Leukemia Identifies New Genetic Markers Associated with Clinical Outcome.

Authors:  Maribel Forero-Castro; Cristina Robledo; Rocío Benito; María Abáigar; Ana África Martín; Maryam Arefi; José Luis Fuster; Natalia de Las Heras; Juan N Rodríguez; Jonathan Quintero; Susana Riesco; Lourdes Hermosín; Ignacio de la Fuente; Isabel Recio; Jordi Ribera; Jorge Labrador; José M Alonso; Carmen Olivier; Magdalena Sierra; Marta Megido; Luis A Corchete-Sánchez; Juana Ciudad Pizarro; Juan Luis García; José M Ribera; Jesús M Hernández-Rivas
Journal:  PLoS One       Date:  2016-02-12       Impact factor: 3.240

8.  Clonal evolution in myelodysplastic syndromes.

Authors:  Pedro da Silva-Coelho; Leonie I Kroeze; Kenichi Yoshida; Theresia N Koorenhof-Scheele; Ruth Knops; Louis T van de Locht; Aniek O de Graaf; Marion Massop; Sarah Sandmann; Martin Dugas; Marian J Stevens-Kroef; Jaroslav Cermak; Yuichi Shiraishi; Kenichi Chiba; Hiroko Tanaka; Satoru Miyano; Theo de Witte; Nicole M A Blijlevens; Petra Muus; Gerwin Huls; Bert A van der Reijden; Seishi Ogawa; Joop H Jansen
Journal:  Nat Commun       Date:  2017-04-21       Impact factor: 14.919

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.