For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
8
views
85
references
 Top references
cited by
3
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      590
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Potential Clinical Application of Genomics in Multiple Myeloma

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Multiple myeloma is a heterogeneous disease with different characteristics, and genetic aberrations play important roles in this heterogeneity. Studies have shown that these genetic aberrations are crucial in prognostication and response assessment; recent efforts have focused on their possible therapeutic implications. Despite many emerging studies being published, the best way to incorporate these results into clinical practice remains unclear. In this review paper we describe the different genomic techniques available, including the latest advancements, and discuss the potential clinical application of genomics in multiple myeloma.

          Related collections

          Most cited references85

          • Record: found
          • Abstract: found
          • Article: not found

          Targeting microRNAs in cancer: rationale, strategies and challenges.

          Ramiro Garzon, Guido Marcucci, Carlo Croce (2010)
          MicroRNAs (miRNAs) are evolutionarily conserved small non-coding RNAs that regulate gene expression. Early studies have shown that miRNA expression is deregulated in cancer and experimental data indicate that cancer phenotypes can be modified by targeting miRNA expression. Based on these observations, miRNA-based anticancer therapies are being developed, either alone or in combination with current targeted therapies, with the goal to improve disease response and increase cure rates. The advantage of using miRNA approaches is based on its ability to concurrently target multiple effectors of pathways involved in cell differentiation, proliferation and survival. In this Review, we describe the role of miRNAs in tumorigenesis and critically discuss the rationale, the strategies and the challenges for the therapeutic targeting of miRNAs in cancer.
          Article 0 comments Cited 508 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The molecular classification of multiple myeloma.

            Fenghuang Zhan, Yongsheng Huang, Simona Colla … (2006)
            To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature.
            Article 0 comments Cited 357 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Transcriptome Sequencing to Detect Gene Fusions in Cancer

              Christopher Maher, Chandan Kumar-Sinha, Xuhong Cao … (2009)
              Recurrent gene fusions, typically associated with hematological malignancies and rare bone and soft tissue tumors1, have been recently described in common solid tumors2–9. Here we employ an integrative analysis of high-throughput long and short read transcriptome sequencing of cancer cells to discover novel gene fusions. As a proof of concept we successfully utilized integrative transcriptome sequencing to “re-discover” the BCR-ABL1 10 gene fusion in a chronic myelogenous leukemia cell line and the TMPRSS2-ERG 2,3 gene fusion in a prostate cancer cell line and tissues. Additionally, we nominated, and experimentally validated, novel gene fusions resulting in chimeric transcripts in cancer cell lines and tumors. Taken together, this study establishes a robust pipeline for the discovery of novel gene chimeras using high throughput sequencing, opening up an important class of cancer-related mutations for comprehensive characterization.
              Article 0 comments Cited 283 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Int J Mol Sci
                Journal ID (iso-abbrev): Int J Mol Sci
                Journal ID (publisher-id): ijms
                Title: International Journal of Molecular Sciences
                Publisher: MDPI
                ISSN (Electronic): 1422-0067
                Publication date (Electronic): 10 June 2018
                Publication date Collection: June 2018
                Volume: 19
                Issue: 6
                Electronic Location Identifier: 1721
                Affiliations
                [1 ]Department of Hematology-Oncology, National University Cancer Institute, Singapore, National University Health System, 1E Kent Ridge Road, Singapore 119228, Singapore; cinnie_yentia_soekojo@ 123456nuhs.edu.sg (C.Y.S.); sanjay_widanalage@ 123456nuhs.edu.sg (S.d.M.); melissa_ooi@ 123456nuhs.edu.sg (M.O.)
                [2 ]Department of Laboratory Medicine, National University Hospital, National University Health System, 5 Lower Kent Ridge Road, Singapore 119074, Singapore; benedict_yan@ 123456nuhs.edu.sg
                [3 ]Cancer Science Institute of Singapore, National University of Singapore,14 Medical Drive, Singapore 117599, Singapore
                Author notes
                [* ]Correspondence: mdccwj@ 123456nus.edu.sg
                Article
                Publisher ID: ijms-19-01721
                DOI: 10.3390/ijms19061721
                PMC ID: 6032230
                PubMed ID: 29890777
                SO-VID: 84505533-6a19-4fe9-92b6-a15bc5a5840f
                Copyright © © 2018 by the authors.
                License:

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                Date received : 14 May 2018
                Date accepted : 07 June 2018
                Categories
                Subject: Review

                ScienceOpen disciplines: Molecular biology
                Keywords: multiple myeloma,genomics,gene expression profiling
                Data availability:
                ScienceOpen disciplines: Molecular biology
                Keywords: multiple myeloma, genomics, gene expression profiling

                Comments

                Comment on this article

                scite_

                Similar content590

                See all similar

                Cited by3

                See all cited by

                Most referenced authors2,037

                See all reference authors