Combined Proteomic-Molecular Epidemiology Approach to Identify Precision Targets in Brain Cancer

Ekaterina Mostovenko, Yanhong Liu, E. Susan Amirian, Spiridon Tsavachidis, Georgina N. Armstrong, Melissa L. Bondy, Carol L. Nilsson

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Primary brain tumors are predominantly malignant gliomas. Grade IV astrocytomas (glioblastomas, GBM) are among the most deadly of all tumors; most patients will succumb to their disease within 2 years of diagnosis despite standard of care. The grim outlook for brain tumor patients indicates that novel precision therapeutic targets must be identified. Our hypothesis is that the cancer proteomes of glioma tumors may contain protein variants that are linked to the aggressive pathology of the disease. To this end, we devised a novel workflow that combined variant proteomics with molecular epidemiological mining of public cancer data sets to identify 10 previously unrecognized variants linked to the risk of death in low grade glioma or GBM. We hypothesize that a subset of the protein variants may be successfully developed in the future as novel targets for malignant gliomas.

Original languageEnglish (US)
Pages (from-to)80-84
Number of pages5
JournalACS chemical neuroscience
Volume9
Issue number1
DOIs
StatePublished - Jan 17 2018

Keywords

  • GBM
  • Glioblastoma
  • drug target
  • molecular epidemiology
  • precision medicine
  • proteomic

ASJC Scopus subject areas

  • Biochemistry
  • Physiology
  • Cognitive Neuroscience
  • Cell Biology

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  • Cite this

    Mostovenko, E., Liu, Y., Amirian, E. S., Tsavachidis, S., Armstrong, G. N., Bondy, M. L., & Nilsson, C. L. (2018). Combined Proteomic-Molecular Epidemiology Approach to Identify Precision Targets in Brain Cancer. ACS chemical neuroscience, 9(1), 80-84. https://doi.org/10.1021/acschemneuro.7b00165