Genomic Heterogeneity of Osteosarcoma - Shift from Single Candidates to Functional Modules

  title={Genomic Heterogeneity of Osteosarcoma - Shift from Single Candidates to Functional Modules},
  author={K. Poos and J. Smida and Doris Maugg and G. Eckstein and D. Baumhoer and M. Nathrath and E. Korsching},
  journal={PLoS ONE},
  • K. Poos, J. Smida, +4 authors E. Korsching
  • Published 2015
  • Biology, Medicine
  • PLoS ONE
  • Osteosarcoma (OS), a bone tumor, exhibit a complex karyotype. On the genomic level a highly variable degree of alterations in nearly all chromosomal regions and between individual tumors is observable. This hampers the identification of common drivers in OS biology. To identify the common molecular mechanisms involved in the maintenance of OS, we follow the hypothesis that all the copy number-associated differences between the patients are intercepted on the level of the functional modules. The… CONTINUE READING
    16 Citations

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    Genome‐wide analysis of somatic copy number alterations and chromosomal breakages in osteosarcoma
    • 37
    Four genes predict the survival of osteosarcoma patients based on TARGET database
    • 1
    CDH4 is a novel determinant of osteosarcoma tumorigenesis and metastasis
    • 7
    Fischer-344 Tp53-knockout rats exhibit a high rate of bone and brain neoplasia with frequent metastasis
    • 11
    • PDF
    Advances in emerging drugs for osteosarcoma
    • 65
    An update on chemotherapy for osteosarcoma
    • 132


    Focal Chromosomal Copy Number Aberrations Identify CMTM8 and GPR177 as New Candidate Driver Genes in Osteosarcoma
    • 19
    • PDF
    Identification of osteosarcoma driver genes by integrative analysis of copy number and gene expression data
    • 89
    • PDF
    Genomic Alterations and Allelic Imbalances Are Strong Prognostic Predictors in Osteosarcoma
    • 89
    • PDF
    Genome-wide array comparative genomic hybridization analysis reveals distinct amplifications in osteosarcoma
    • 135
    • PDF
    Structuring osteosarcoma knowledge: an osteosarcoma-gene association database based on literature mining and manual annotation
    • 29
    • PDF
    Automated Network Analysis Identifies Core Pathways in Glioblastoma
    • 301
    • PDF
    A systems biology approach reveals common metastatic pathways in osteosarcoma
    • 38
    • PDF
    LSAMP, a novel candidate tumor suppressor gene in human osteosarcomas, identified by array comparative genomic hybridization
    • 67
    • Highly Influential