CT imaging correlates of genomic expression for oral cavity squamous cell carcinoma

C. R. Pickering, K. Shah, S. Ahmed, A. Rao, M. J. Frederick, J. Zhang, A. K. Unruh, J. Wang, L. E. Ginsberg, A. J. Kumar, J. N. Myers, J. D. Hamilton

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

BACKGROUND AND PURPOSE: Imaging correlates of genetic expression have been found for prognostic and predictive biomarkers of some malignant diseases, including breast and brain tumors. This study tests the hypothesis that imaging findings correlate with relevant genomic biomarkers in oral cavity squamous cell carcinoma. MATERIALS AND METHODS: Surplus frozen tissue from 27 untreated patients with oral cavity squamous cell carcinoma who underwent preoperative CT imaging was analyzed for gene expression. A team of neuroradiologists blinded to the genomic analysis results reviewed an extensive list of CT findings. The imaging correlated with genomic expression for cyclin D1, angiogenesis-related genes (vascular endothelial growth factor receptors and ligands), which relate to enhancement on the basis of other tumor types; and epidermal growth factor receptor, which may relate to proliferation and mass effect. RESULTS: Expression of vascular endothelial growth factor receptors 1 and 2 correlated with the enhancement of the primary tumor (P =.018 and P =.025, respectively), whereas the epidermal growth factor receptor correlated with mass effect (P =.03). Other exploratory correlations included epidermal growth factor receptor to perineural invasion (P =.05), and certain vascular endothelial growth factor receptors and ligands to mass effect (P =.03) and increased (P =.01) or decreased (P =.02) primary tumor size. CONCLUSIONS: We report that CT imaging correlates with gene expression in untreated oral cavity squamous cell carcinoma. Enhancement of the primary tumor and degree of mass effect correlate with relevant genomic biomarkers, which are also potential drug targets. Eventually, treatment decisions may be aided by combining imaging findings into meaningful phenotypes that relate directly to genomic biomarkers.

Original languageEnglish (US)
Pages (from-to)1818-1822
Number of pages5
JournalAmerican Journal of Neuroradiology
Volume34
Issue number9
DOIs
StatePublished - Sep 2013
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

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