Literature DB >> 28597942

Copy number alterations determined by single nucleotide polymorphism array testing in the clinical laboratory are indicative of gene fusions in pediatric cancer patients.

Tracy M Busse1, Jacquelyn J Roth2, Donna Wilmoth3, Luanne Wainwright3, Laura Tooke3, Jaclyn A Biegel1,4.   

Abstract

Gene fusions resulting from structural rearrangements are an established mechanism of tumorigenesis in pediatric cancer. In this clinical cohort, 1,350 single nucleotide polymorphism (SNP)-based chromosomal microarrays from 1,211 pediatric cancer patients were evaluated for copy number alterations (CNAs) associated with gene fusions. Karyotype or fluorescence in situ hybridization studies were performed in 42% of the patients. Ten percent of the bone marrow or solid tumor specimens had SNP array-associated CNAs suggestive of a gene fusion. Alterations involving ETV6, ABL1-NUP214, EBF1-PDGFRB, KMT2A(MLL), LMO2-RAG, MYH11-CBFB, NSD1-NUP98, PBX1, STIL-TAL1, ZNF384-TCF3, P2RY8-CRLF2, and RUNX1T1-RUNX1 fusions were detected in the bone marrow samples. The most common alteration among the low-grade gliomas was a 7q34 tandem duplication resulting in a KIAA1549-BRAF fusion. Additional fusions identified in the pediatric brain tumors included FAM131B-BRAF and RAF1-QKI. COL1A1-PDGFB, CRTC1-MAML2, EWSR1, HEY1, PAX3- and PAX7-FOXO1, and PLAG1 fusions were determined in a variety of solid tumors and a novel potential gene fusion, FGFR1-USP6, was detected in an aneurysmal bone cyst. The identification of these gene fusions was instrumental in tumor diagnosis. In contrast to hematologic and solid tumors in adults that are predominantly driven by mutations, the majority of hematologic and solid tumors in children are characterized by CNAs and gene fusions. Chromosomal microarray analysis is therefore a robust platform to identify diagnostic and prognostic markers in the clinical setting.
© 2017 Wiley Periodicals, Inc.

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Year:  2017        PMID: 28597942     DOI: 10.1002/gcc.22477

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


  6 in total

1.  Genetic Association of Epilepsy and Anti-Epileptic Drugs Treatment in Jordanian Patients.

Authors:  Laith N Al-Eitan; Islam M Al-Dalala; Afrah K Elshammari; Wael H Khreisat; Aseel F Nimiri; Adan H Alnaamneh; Hanan A Aljamal; Mansour A Alghamdi
Journal:  Pharmgenomics Pers Med       Date:  2020-10-16

Review 2.  Interstitial Deletions Generating Fusion Genes.

Authors:  Ioannis Panagopoulos; Sverre Heim
Journal:  Cancer Genomics Proteomics       Date:  2021 May-Jun       Impact factor: 4.069

3.  Discovery of a rare GKAP1-NTRK2 fusion in a pediatric low-grade glioma, leading to targeted treatment with TRK-inhibitor larotrectinib.

Authors:  Lily Deland; Simon Keane; Thomas Olsson Bontell; Helene Sjögren; Henrik Fagman; Ingrid Øra; Esther De La Cuesta; Magnus Tisell; Jonas A Nilsson; Katarina Ejeskär; Magnus Sabel; Frida Abel
Journal:  Cancer Biol Ther       Date:  2021-04-05       Impact factor: 4.742

4.  Polymorphous Low-Grade Neuroepithelial Tumor of the Young (PLNTY): Molecular Profiling Confirms Frequent MAPK Pathway Activation.

Authors:  Cristiane M Ida; Derek R Johnson; Asha A Nair; Jaime Davila; Thomas M Kollmeyer; Kay Minn; Numrah M Fadra; Jessica R Balcom; Kar-Ming A Fung; Dong Kun Kim; Timothy J Kaufmann; Benjamin R Kipp; Kevin C Halling; Robert B Jenkins; Caterina Giannini
Journal:  J Neuropathol Exp Neurol       Date:  2021-09-27       Impact factor: 3.685

5.  Effects of the MAML2 genetic variants in glioma susceptibility and prognosis.

Authors:  Ming Zhang; Yonglin Zhao; Junjie Zhao; Tingqin Huang; Xiaoye Guo; Xudong Ma; Yuan Wu
Journal:  Biosci Rep       Date:  2019-10-30       Impact factor: 3.840

Review 6.  Making Sense of Genetic Information: The Promising Evolution of Clinical Stratification and Precision Oncology Using Machine Learning.

Authors:  Mahaly Baptiste; Sarah Shireen Moinuddeen; Courtney Lace Soliz; Hashimul Ehsan; Gen Kaneko
Journal:  Genes (Basel)       Date:  2021-05-12       Impact factor: 4.096

  6 in total

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