4.8 Article

Prognostic PET 18F-FDG Uptake Imaging Features Are Associated with Major Oncogenomic Alterations in Patients with Resected Non-Small Cell Lung Cancer

Journal

CANCER RESEARCH
Volume 72, Issue 15, Pages 3725-3734

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-11-3943

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Funding

  1. Information Sciences in Imaging at Stanford
  2. Center for Cancer Systems Biology [U54 CA149145, R01 CA16025]
  3. Division of Pulmonary & Critical Care Medicine at Stanford University School of Medicine [T32 HL007948]
  4. Lung Cancer Research Foundation
  5. CHEST Foundation California Chapter Clinical Research Award
  6. Stanford NIH/NCRR CTSA [UL1 RR025744]
  7. NCI [5P30CA124435]

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Although 2[F-18]fluoro-2-deoxy-D-glucose (FDG) uptake during positron emission tomography (PET) predicts post-surgical outcome in patients with non-small cell lung cancer (NSCLC), the biologic basis for this observation is not fully understood. Here, we analyzed 25 tumors from patients with NSCLCs to identify tumor PET-FDG uptake features associated with gene expression signatures and survival. Fourteen quantitative PET imaging features describing FDG uptake were correlated with gene expression for single genes and coexpressed gene clusters (metagenes). For each FDG uptake feature, an associated metagene signature was derived, and a prognostic model was identified in an external cohort and then tested in a validation cohort of patients with NSCLC. Four of eight single genes associated with FDG uptake (LY6E, RNF149, MCM6, and FAP) were also associated with survival. The most prognostic metagene signature was associated with a multivariate FDG uptake feature [maximum standard uptake value (SUVmax), SUVvariance, and SUVPCA2], each highly associated with survival in the external [HR, 5.87; confidence interval (CI), 2.49-13.8] and validation (HR, 6.12; CI, 1.08-34.8) cohorts, respectively. Cell-cycle, proliferation, death, and self-recognition pathways were altered in this radio-genomic profile. Together, our findings suggest that leveraging tumor genomics with an expanded collection of PET-FDG imaging features may enhance our understanding of FDG uptake as an imaging biomarker beyond its association with glycolysis. Cancer Res; 72(15); 3725-34. (C) 2012 AACR.

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