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

Mostovenko, Ekaterina; Liu, Yanhong; Amirian, E. Susan; Tsavachidis, Spiridon; Armstrong, Georgina N.; Bondy, Melissa L. and Nilsson, Carol L. LU (2018) In ACS Chemical Neuroscience 9(1). p.80-84
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.... (More)

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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
drug target, GBM, Glioblastoma, molecular epidemiology, precision medicine, proteomic
in
ACS Chemical Neuroscience
volume
9
issue
1
pages
5 pages
publisher
The American Chemical Society
external identifiers
  • scopus:85040670652
ISSN
1948-7193
DOI
10.1021/acschemneuro.7b00165
language
English
LU publication?
yes
id
95a30486-91ef-4910-a96e-329caa2d4c07
date added to LUP
2018-01-30 11:07:09
date last changed
2018-06-17 05:30:17
@article{95a30486-91ef-4910-a96e-329caa2d4c07,
  abstract     = {<p>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.</p>},
  author       = {Mostovenko, Ekaterina and Liu, Yanhong and Amirian, E. Susan and Tsavachidis, Spiridon and Armstrong, Georgina N. and Bondy, Melissa L. and Nilsson, Carol L.},
  issn         = {1948-7193},
  keyword      = {drug target,GBM,Glioblastoma,molecular epidemiology,precision medicine,proteomic},
  language     = {eng},
  month        = {01},
  number       = {1},
  pages        = {80--84},
  publisher    = {The American Chemical Society},
  series       = {ACS Chemical Neuroscience},
  title        = {Combined Proteomic-Molecular Epidemiology Approach to Identify Precision Targets in Brain Cancer},
  url          = {http://dx.doi.org/10.1021/acschemneuro.7b00165},
  volume       = {9},
  year         = {2018},
}