Literature DB >> 25239452

Oncogene pathway activation in mammary tumors dictates FDG-PET uptake.

James V Alvarez1, George K Belka1, Tien-Chi Pan1, Chien-Chung Chen1, Eric Blankemeyer2, Abass Alavi2, Joel S Karp2, Lewis A Chodosh3.   

Abstract

Increased glucose utilization is a hallmark of human cancer that is used to image tumors clinically. In this widely used application, glucose uptake by tumors is monitored by positron emission tomography of the labeled glucose analogue 2[(18)F]fluoro-2-deoxy-D-glucose (FDG). Despite its widespread clinical use, the cellular and molecular mechanisms that determine FDG uptake--and that underlie the heterogeneity observed across cancers-remain poorly understood. In this study, we compared FDG uptake in mammary tumors driven by the Akt1, c-MYC, HER2/neu, Wnt1, or H-Ras oncogenes in genetically engineered mice, correlating it to tumor growth, cell proliferation, and expression levels of gene involved in key steps of glycolytic metabolism. We found that FDG uptake by tumors was dictated principally by the driver oncogene and was not independently associated with tumor growth or cellular proliferation. Oncogene downregulation resulted in a rapid decrease in FDG uptake, preceding effects on tumor regression, irrespective of the baseline level of uptake. FDG uptake correlated positively with expression of hexokinase-2 (HK2) and hypoxia-inducible factor-1α (HIF1α) and associated negatively with PFK-2b expression and p-AMPK. The correlation between HK2 and FDG uptake was independent of all variables tested, including the initiating oncogene, suggesting that HK2 is an independent predictor of FDG uptake. In contrast, expression of Glut1 was correlated with FDG uptake only in tumors driven by Akt or HER2/neu. Together, these results demonstrate that the oncogenic pathway activated within a tumor is a primary determinant of its FDG uptake, mediated by key glycolytic enzymes, and provide a framework to interpret effects on this key parameter in clinical imaging. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25239452      PMCID: PMC4342047          DOI: 10.1158/0008-5472.CAN-14-1235

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  52 in total

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Authors:  F Model; P Adorján; A Olek; C Piepenbrock
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Review 2.  Oncogenic alterations of metabolism.

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

4.  Correlation of FDG-PET imaging with Glut-1 and Glut-3 expression in early-stage non-small cell lung cancer.

Authors:  E M Marom; T A Aloia; M B Moore; M Hara; J E Herndon; D H Harpole; P C Goodman; E F Patz
Journal:  Lung Cancer       Date:  2001 Aug-Sep       Impact factor: 5.705

5.  Glucose metabolism of breast cancer assessed by 18F-FDG PET: histologic and immunohistochemical tissue analysis.

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Authors:  C M D'Cruz; E J Gunther; R B Boxer; J L Hartman; L Sintasath; S E Moody; J D Cox; S I Ha; G K Belka; A Golant; R D Cardiff; L A Chodosh
Journal:  Nat Med       Date:  2001-02       Impact factor: 53.440

9.  Positron emission tomography using [(18)F]-fluorodeoxy-D-glucose to predict the pathologic response of breast cancer to primary chemotherapy.

Authors:  I C Smith; A E Welch; A W Hutcheon; I D Miller; S Payne; F Chilcott; S Waikar; T Whitaker; A K Ah-See; O Eremin; S D Heys; F J Gilbert; P F Sharp
Journal:  J Clin Oncol       Date:  2000-04       Impact factor: 44.544

10.  Positron emission tomography using [(18)F]Fluorodeoxyglucose for monitoring primary chemotherapy in breast cancer.

Authors:  M Schelling; N Avril; J Nährig; W Kuhn; W Römer; D Sattler; M Werner; J Dose; F Jänicke; H Graeff; M Schwaiger
Journal:  J Clin Oncol       Date:  2000-04       Impact factor: 44.544

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  30 in total

1.  Functional Genetic Screening Enables Theranostic Molecular Imaging in Cancer.

Authors:  Nicholas R Perkons; Omar Johnson; Gabrielle Pilla; Enri Profka; Michael Mercadante; Daniel Ackerman; Terence P F Gade
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Review 2.  ¹⁸F-FDG PET/CT in the early prediction of pathological response in aggressive subtypes of breast cancer: review of the literature and recommendations for use in clinical trials.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-01-13       Impact factor: 9.236

3.  Do clinical, histological or immunohistochemical primary tumour characteristics translate into different (18)F-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer?

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-07-04       Impact factor: 9.236

4.  Optical Imaging of Glucose Uptake and Mitochondrial Membrane Potential to Characterize Her2 Breast Tumor Metabolic Phenotypes.

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7.  Foxo-dependent Par-4 Upregulation Prevents Long-term Survival of Residual Cells Following PI3K-Akt Inhibition.

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8.  Yap regulates glucose utilization and sustains nucleotide synthesis to enable organ growth.

Authors:  Andrew G Cox; Allison Tsomides; Dean Yimlamai; Katie L Hwang; Joel Miesfeld; Giorgio G Galli; Brendan H Fowl; Michael Fort; Kimberly Y Ma; Mark R Sullivan; Aaron M Hosios; Erin Snay; Min Yuan; Kristin K Brown; Evan C Lien; Sagar Chhangawala; Matthew L Steinhauser; John M Asara; Yariv Houvras; Brian Link; Matthew G Vander Heiden; Fernando D Camargo; Wolfram Goessling
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9.  Adenine Nucleotide Translocase 2 as an Enzyme Related to [18F] FDG Accumulation in Various Cancers.

Authors:  Chul-Hee Lee; Mi Jeong Kim; Hwan Hee Lee; Jin Chul Paeng; Young Joo Park; So Won Oh; Young Jun Chai; Young A Kim; Gi Jeong Cheon; Keon Wook Kang; Hyewon Youn; June-Key Chung
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