Platelet-derived growth factor receptors differentially inform intertumoral and intratumoral heterogeneity

Y Kim, E Kim, Q Wu, O Guryanova… - Genes & …, 2012 - genesdev.cshlp.org
Y Kim, E Kim, Q Wu, O Guryanova, M Hitomi, JD Lathia, D Serwanski, AE Sloan, RJ Weil…
Genes & development, 2012genesdev.cshlp.org
Growth factor-mediated proliferation and self-renewal maintain tissue-specific stem cells and
are frequently dysregulated in cancers. Platelet-derived growth factor (PDGF) ligands and
receptors (PDGFRs) are commonly overexpressed in gliomas and initiate tumors, as proven
in genetically engineered models. While PDGFRα alterations inform intertumoral
heterogeneity toward a proneural glioblastoma (GBM) subtype, we interrogated the role of
PDGFRs in intratumoral GBM heterogeneity. We found that PDGFRα is expressed only in a …
Growth factor-mediated proliferation and self-renewal maintain tissue-specific stem cells and are frequently dysregulated in cancers. Platelet-derived growth factor (PDGF) ligands and receptors (PDGFRs) are commonly overexpressed in gliomas and initiate tumors, as proven in genetically engineered models. While PDGFRα alterations inform intertumoral heterogeneity toward a proneural glioblastoma (GBM) subtype, we interrogated the role of PDGFRs in intratumoral GBM heterogeneity. We found that PDGFRα is expressed only in a subset of GBMs, while PDGFRβ is more commonly expressed in tumors but is preferentially expressed by self-renewing tumorigenic GBM stem cells (GSCs). Genetic or pharmacological targeting of PDGFRβ (but not PDGFRα) attenuated GSC self-renewal, survival, tumor growth, and invasion. PDGFRβ inhibition decreased activation of the cancer stem cell signaling node STAT3, while constitutively active STAT3 rescued the loss of GSC self-renewal caused by PDGFRβ targeting. In silico survival analysis demonstrated that PDGFRB informed poor prognosis, while PDGFRA was a positive prognostic factor. Our results may explain mixed clinical responses of anti-PDGFR-based approaches and suggest the need for integration of models of cancer as an organ system into development of cancer therapies.
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