Literature DB >> 26883451

Overview of recurrent chromosomal losses in retinoblastoma detected by low coverage next generation sequencing.

A J García-Chequer1, A Méndez-Tenorio2, G Olguín-Ruiz2, C Sánchez-Vallejo2, P Isa3, C F Arias3, J Torres1, A Hernández-Angeles1, M A Ramírez-Ortiz4, C Lara4, M L Cabrera-Muñoz4, S Sadowinski-Pine4, J C Bravo-Ortiz5, G Ramón-García5, J Diegopérez-Ramírez5, G Ramírez-Reyes5, R Casarrubias-Islas5, J Ramírez6, M A Orjuela7, M V Ponce-Castañeda8.   

Abstract

Genes are frequently lost or gained in malignant tumors and the analysis of these changes can be informative about the underlying tumor biology. Retinoblastoma is a pediatric intraocular malignancy, and since deletions in chromosome 13 have been described in this tumor, we performed genome wide sequencing with the Illumina platform to test whether recurrent losses could be detected in low coverage data from DNA pools of Rb cases. An in silico reference profile for each pool was created from the human genome sequence GRCh37p5; a chromosome integrity score and a graphics 40 Kb window analysis approach, allowed us to identify with high resolution previously reported non random recurrent losses in all chromosomes of these tumors. We also found a pattern of gains and losses associated to clear and dark cytogenetic bands respectively. We further analyze a pool of medulloblastoma and found a more stable genomic profile and previously reported losses in this tumor. This approach facilitates identification of recurrent deletions from many patients that may be biological relevant for tumor development.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Pediatric tumors; losses; low coverage; medulloblastoma; next-generation sequencing; retinoblastoma

Mesh:

Year:  2015        PMID: 26883451      PMCID: PMC4993565          DOI: 10.1016/j.cancergen.2015.12.001

Source DB:  PubMed          Journal:  Cancer Genet


  41 in total

Review 1.  Statistical challenges associated with detecting copy number variations with next-generation sequencing.

Authors:  Shu Mei Teo; Yudi Pawitan; Chee Seng Ku; Kee Seng Chia; Agus Salim
Journal:  Bioinformatics       Date:  2012-08-31       Impact factor: 6.937

2.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

3.  Sporadic bilateral retinoblastoma and 13q- chromosomal deletion.

Authors:  U Francke; F Kung
Journal:  Med Pediatr Oncol       Date:  1976

Review 4.  Single nucleotide polymorphism array analysis of cancer.

Authors:  Amit Dutt; Rameen Beroukhim
Journal:  Curr Opin Oncol       Date:  2007-01       Impact factor: 3.645

5.  Cooperation between Rb and Arf in suppressing mouse retinoblastoma.

Authors:  Karina Conkrite; Maggie Sundby; David Mu; Shizuo Mukai; David MacPherson
Journal:  J Clin Invest       Date:  2012-04-09       Impact factor: 14.808

6.  Marked differences in unilateral isolated retinoblastomas from young and older children studied by comparative genomic hybridization.

Authors:  S Herzog; D R Lohmann; K Buiting; A Schüler; B Horsthemke; H Rehder; H Rieder
Journal:  Hum Genet       Date:  2001-02       Impact factor: 4.132

Review 7.  From cytogenetics to next-generation sequencing technologies: advances in the detection of genome rearrangements in tumors.

Authors:  Olena Morozova; Marco A Marra
Journal:  Biochem Cell Biol       Date:  2008-04       Impact factor: 3.626

8.  High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays.

Authors:  D Pinkel; R Segraves; D Sudar; S Clark; I Poole; D Kowbel; C Collins; W L Kuo; C Chen; Y Zhai; S H Dairkee; B M Ljung; J W Gray; D G Albertson
Journal:  Nat Genet       Date:  1998-10       Impact factor: 38.330

9.  Nonrandom chromosomal changes in retinoblastomas.

Authors:  H E Pogosianz; L E Kuznetsova
Journal:  Arch Geschwulstforsch       Date:  1986

10.  Direct involvement of retinoblastoma family proteins in DNA repair by non-homologous end-joining.

Authors:  Rebecca Cook; Georgia Zoumpoulidou; Maciej T Luczynski; Simone Rieger; Jayne Moquet; Victoria J Spanswick; John A Hartley; Kai Rothkamm; Paul H Huang; Sibylle Mittnacht
Journal:  Cell Rep       Date:  2015-03-26       Impact factor: 9.423

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  3 in total

1.  miRNome landscape analysis reveals a 30 miRNA core in retinoblastoma.

Authors:  Blanca Elena Castro-Magdonel; Manuela Orjuela; Javier Camacho; Adda Jeanette García-Chéquer; Lourdes Cabrera-Muñoz; Stanislaw Sadowinski-Pine; Noé Durán-Figueroa; María de Jesús Orozco-Romero; Ana Claudia Velázquez-Wong; Adriana Hernández-Ángeles; Claudia Hernández-Galván; Citlali Lara-Molina; M Verónica Ponce-Castañeda
Journal:  BMC Cancer       Date:  2017-07-01       Impact factor: 4.430

2.  MicroRNA-188-5p Promotes Epithelial-Mesenchymal Transition by Targeting ID4 Through Wnt/β‑catenin Signaling in Retinoblastoma.

Authors:  Ming Yang; Yang Li; Wenbin Wei
Journal:  Onco Targets Ther       Date:  2019-11-27       Impact factor: 4.147

3.  Circular DNA elements of chromosomal origin are common in healthy human somatic tissue.

Authors:  Henrik Devitt Møller; Marghoob Mohiyuddin; Iñigo Prada-Luengo; M Reza Sailani; Jens Frey Halling; Peter Plomgaard; Lasse Maretty; Anders Johannes Hansen; Michael P Snyder; Henriette Pilegaard; Hugo Y K Lam; Birgitte Regenberg
Journal:  Nat Commun       Date:  2018-03-14       Impact factor: 14.919

  3 in total

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