Kinomic profiling of glioblastoma cells reveals PLCG1 as a target in restricted glucose

Kiera Walker1, Nathaniel H Boyd1, Joshua C Anderson2

  • 11Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL 35294 USA.

Biomarker Research
|June 28, 2018
PubMed
Abstract

Insights

Understanding glioblastoma (GBM) kinase activity in low glucose conditions is key for effective treatment. Kinomic profiling identified specific targets, like Phospholipase C, showing promise for novel GBM therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Glioblastoma (GBM) treatment efficacy depends on understanding the tumor microenvironment.
  • Standard cell culture glucose levels do not reflect physiological or tumor niche conditions.
  • Investigating kinase activity under restricted glucose is crucial for identifying therapeutic targets.

Purpose of the Study:

  • To profile kinase activity differences in GBM cells cultured in restricted glucose conditions.
  • To identify specific kinase pathways amenable to small molecule inhibitor targeting.
  • To validate potential therapeutic targets using GBM spheroid models.

Main Methods:

  • Utilized the PamStation12 platform to assess GBM cell lysate phosphorylation of 144 tyrosine and 144 serine/threonine peptides.
  • Compared kinase activity in GBM cells cultured in standard versus low glucose environments.
  • Validated identified kinase targets using small molecule inhibitors in GBM spheroid cultures.

Main Results:

  • Identified common peptide changes in Phospholipase C, Gamma 1 (PLCG1) and Raf-1 from two GBM patient-derived xenografts.
  • Demonstrated a significantly stronger growth inhibitory effect of the PLC inhibitor U73122 under restricted glucose conditions.
  • Observed that Raf inhibitors exhibited significant growth inhibition irrespective of nutrient levels.

Conclusions:

  • Kinase activity is altered in low glucose conditions, and kinomic profiling aids in identifying GBM growth strategies.
  • Accurate modeling of the tumor microenvironment is essential for understanding cancer cell signaling.
  • This study highlights the importance of microenvironment modeling for developing anti-cancer drug screens.

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