Literature DB >> 29453220

Identification of novel fusion transcripts in multiple myeloma.

Mingxuan Lin1, Peak Ling Lee2, Lily Chiu1, Constance Chua2, Kenneth H K Ban3, Adeline H F Lin4, Zit Liang Chan5, Tae-Hoon Chung5, Benedict Yan1,6, Wee-Joo Chng4,5,7.   

Abstract

AIMS: Multiple myeloma (MM) is a heterogeneous disease characterised by genetically complex abnormalities. The classical mutational spectrum includes recurrent chromosomal aberrations and gene-level mutations. Recurrent translocations involving the IGH gene such as t(11;14), t(4;14) and t(14;16) are well known. However, the presence of complex genetic abnormalities raises the possibility that fusions other than the recurrent IGH translocations exist. We therefore employed a targeted RNA-sequencing panel to identify novel putative fusions in a local cohort of MM.
METHODS: Targeted RNA-sequencing was performed on 21 patient samples using the Illumina TruSight RNA Pan-Cancer Panel (comprising 1385 genes). Fusion calls were generated from the Illumina RNA-Sequencing Alignment software (V.1.0.0). These samples had conventional cytogenetic and fluorescence in situ hybridisation data for the common recurrent chromosomal abnormalities (t(11;14), t(4;14), t(14;16) and 17p13 deletion). The MMRF CoMMpass dataset was analysed using the TopHat-fusion pipeline.
RESULTS: A total of 10 novel fusions were identified by the TruSight RNA Pan-Cancer Panel. Two of these fusions, HGF/CACNA2D1 and SMC3/MXI1, were validated by reverse transcription PCR and Sanger sequencing as they involve genes that may have biological relevance in MM genesis. Four of these (MAP2K4/MAP2K4P1) are likely to be spurious secondary to misalignment of reads to a pseudogene. One record of the HGF/CACNA2D1 fusion was identified from the MMRF CoMMpass dataset.
CONCLUSIONS: The identification of novel fusions offers insights into the biology of MM and might have clinical relevance. Further functional studies are required to determine the biological and clinical relevance of these novel fusions. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  cytogenetics; haem-oncology; myeloma

Mesh:

Substances:

Year:  2018        PMID: 29453220     DOI: 10.1136/jclinpath-2017-204961

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  4 in total

1.  Great Lakes Biorepository Research Network's Annual Biobanking Symposium: A Focus on Precision Medicine.

Authors:  Joseph D Paulauskis; Victoria M Blanc; Thomas Carey; David W Chesla; Renée C Frey; Timothy Geddes; Jonathan Keats; Allan Loup; Barbara Pruetz; Daniel C Rohrer; Dana R Valley; Tom Tomlinson; Jan Akervall; George D Wilson; Scott D Jewell
Journal:  Biopreserv Biobank       Date:  2019-06-18       Impact factor: 2.256

Review 2.  Towards Molecular Profiling in Multiple Myeloma: A Literature Review and Early Indications of Its Efficacy for Informing Treatment Strategies.

Authors:  Wolfgang Willenbacher; Andreas Seeber; Normann Steiner; Ella Willenbacher; Zoran Gatalica; Jeff Swensen; Jeffery Kimbrough; Semir Vranic
Journal:  Int J Mol Sci       Date:  2018-07-18       Impact factor: 5.923

3.  Evolution and structure of clinically relevant gene fusions in multiple myeloma.

Authors:  Steven M Foltz; Qingsong Gao; Christopher J Yoon; Hua Sun; Lijun Yao; Yize Li; Reyka G Jayasinghe; Song Cao; Justin King; Daniel R Kohnen; Mark A Fiala; Li Ding; Ravi Vij
Journal:  Nat Commun       Date:  2020-05-29       Impact factor: 14.919

Review 4.  Multi-omics tumor profiling technologies to develop precision medicine in multiple myeloma.

Authors:  Sara Ovejero; Jerome Moreaux
Journal:  Explor Target Antitumor Ther       Date:  2021-02-28
  4 in total

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