Literature DB >> 18076069

BAC array CGH distinguishes mutually exclusive alterations that define clinicogenetic subtypes of gliomas.

Ahmed Idbaih1, Yannick Marie, Carlo Lucchesi, Gaëlle Pierron, Elodie Manié, Virginie Raynal, Véronique Mosseri, Khê Hoang-Xuan, Michèle Kujas, Isabel Brito, Karima Mokhtari, Marc Sanson, Emmanuel Barillot, Alain Aurias, Jean-Yves Delattre, Olivier Delattre.   

Abstract

The pathological classification of gliomas constitutes a critical step of the clinical management of patients, yet it is frequently challenging. To assess the relationship between genetic abnormalities and clinicopathological characteristics, we have performed a genetic and clinical analysis of a series of gliomas. A total of 112 gliomas were analyzed by comparative genomic hybridization on a BAC array with a 1 megabase resolution. Altered regions were identified and correlation analysis enabled to retrieve significant associations and exclusions. Whole chromosomes (chrs) 1p and 19q losses with centromeric breakpoints and EGFR high level amplification were found to be mutually exclusive, permitting identification of 3 distinct, nonoverlapping groups of tumors with striking clinicopathological differences. Type A tumors with chrs 1p and 19q co-deletion exhibited an oligodendroglial phenotype and a longer patient survival. Type B tumors were characterized by EGFR amplification. They harbored a WHO high grade of malignancy and a short patient survival. Finally, type C tumors displayed none of the previous patterns but the presence of chr 7 gain, chr 9p deletion and/or chr 10 loss. It included astrocytic tumors in patients younger than in type B and whose prognosis was highly dependent upon the number of alterations. A multivariate analysis based on a Cox model shows that age, WHO grade and genomic type provide complementary prognostic informations. Finally, our results highlight the potential of a whole-genome analysis as an additional diagnostic in cases of unclear conventional genetic findings.

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Year:  2008        PMID: 18076069     DOI: 10.1002/ijc.23270

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  44 in total

1.  Methylation profiling identifies 2 groups of gliomas according to their tumorigenesis.

Authors:  Julien Laffaire; Sibille Everhard; Ahmed Idbaih; Emmanuelle Crinière; Yannick Marie; Aurelien de Reyniès; Renaud Schiappa; Karima Mokhtari; Khê Hoang-Xuan; Marc Sanson; Jean-Yves Delattre; Joëlle Thillet; François Ducray
Journal:  Neuro Oncol       Date:  2010-10-05       Impact factor: 12.300

Review 2.  Molecular diagnostics: techniques and recommendations for 1p/19q assessment.

Authors:  Adelheid Woehrer; Johannes A Hainfellner
Journal:  CNS Oncol       Date:  2015-11-06

3.  Clinical value of chromosome arms 19q and 11p losses in low-grade gliomas.

Authors:  Agustí Alentorn; Hinke F van Thuijl; Yannick Marie; Hussa Alshehhi; Catherine Carpentier; Blandine Boisselier; Florence Laigle-Donadey; Karima Mokhtari; Ilari Scheinin; Pieter Wesseling; Bauke Ylstra; Laurent Capelle; Khê Hoang-Xuan; Marc Sanson; Jean-Yves Delattre; Jaap C Reijneveld; Ahmed Idbaih
Journal:  Neuro Oncol       Date:  2013-12-12       Impact factor: 12.300

4.  A glioma classification scheme based on coexpression modules of EGFR and PDGFRA.

Authors:  Yingyu Sun; Wei Zhang; Dongfeng Chen; Yuhong Lv; Junxiong Zheng; Henrik Lilljebjörn; Liang Ran; Zhaoshi Bao; Charlotte Soneson; Hans Olov Sjögren; Leif G Salford; Jianguang Ji; Pim J French; Thoas Fioretos; Tao Jiang; Xiaolong Fan
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-18       Impact factor: 11.205

5.  Something old and something new about molecular diagnostics in gliomas.

Authors:  Craig Horbinski
Journal:  Surg Pathol Clin       Date:  2012-12-01

6.  How molecular testing can help (and hurt) in the workup of gliomas.

Authors:  Kenneth Clark; Zoya Voronovich; Craig Horbinski
Journal:  Am J Clin Pathol       Date:  2013-03       Impact factor: 2.493

7.  Classification of arrayCGH data using fused SVM.

Authors:  Franck Rapaport; Emmanuel Barillot; Jean-Philippe Vert
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

8.  An ANOCEF genomic and transcriptomic microarray study of the response to radiotherapy or to alkylating first-line chemotherapy in glioblastoma patients.

Authors:  François Ducray; Aurélien de Reyniès; Olivier Chinot; Ahmed Idbaih; Dominique Figarella-Branger; Carole Colin; Lucie Karayan-Tapon; Hervé Chneiweiss; Michel Wager; François Vallette; Yannick Marie; David Rickman; Emilie Thomas; Jean-Yves Delattre; Jérôme Honnorat; Marc Sanson; François Berger
Journal:  Mol Cancer       Date:  2010-09-07       Impact factor: 27.401

9.  ASPM-associated stem cell proliferation is involved in malignant progression of gliomas and constitutes an attractive therapeutic target.

Authors:  Sandra-Nadia Ngwabyt Bikeye; Carole Colin; Yannick Marie; Raphaël Vampouille; Philippe Ravassard; Audrey Rousseau; Blandine Boisselier; Ahmed Idbaih; Charles Félix Calvo; Pascal Leuraud; Myriam Lassalle; Soufiane El Hallani; Jean-Yves Delattre; Marc Sanson
Journal:  Cancer Cell Int       Date:  2010-01-11       Impact factor: 5.722

10.  Genomic profiling distinguishes familial multiple and sporadic multiple meningiomas.

Authors:  Yiping Shen; Fabio Nunes; Anat Stemmer-Rachamimov; Marianne James; Gayatry Mohapatra; Scott Plotkin; Rebecca A Betensky; David A Engler; Jennifer Roy; Vijaya Ramesh; James F Gusella
Journal:  BMC Med Genomics       Date:  2009-07-09       Impact factor: 3.063

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