Potential of Induced Metabolic Bioluminescence Imaging to Uncover Metabolic Effects of Antiangiogenic Therapy in Tumors

Tumor heterogeneity at the genetic level has been illustrated by a multitude of studies on the genomics of cancer, but whether tumors can be heterogeneous at the metabolic level is an issue that has been less systematically investigated so far. A burning-related question is whether the metabolic features of tumors can change either following natural tumor progression (i.e., in primary tumors versus metastasis) or therapeutic interventions. In this regard, recent findings by independent teams indicate that antiangiogenic drugs cause metabolic perturbations in tumors as well as metabolic adaptations associated with increased malignancy. Induced metabolic bioluminescence imaging (imBI) is an imaging technique that enables detection of key metabolites associated with glycolysis, including lactate, glucose, pyruvate, and ATP in tumor sections. Signals captured by imBI can be used to visualize the topographic distribution of these metabolites and quantify their absolute amount. imBI can be very useful for metabolic classification of tumors as well as to track metabolic changes in the glycolytic pathway associated with certain therapies. Imaging of the metabolic changes induced by antiangiogenic drugs in tumors by imBI or other emerging technologies is a valuable tool to uncover molecular sensors engaged by metabolic stress and offers an opportunity to understand how metabolism-based approaches could improve cancer therapy.

[1]  E. Jackson,et al.  Intratumoral Heterogeneity: From Diversity Comes Resistance , 2015, Clinical Cancer Research.

[2]  A. Harris,et al.  Fatty acid uptake and lipid storage induced by HIF-1α contribute to cell growth and survival after hypoxia-reoxygenation. , 2014, Cell reports.

[3]  G. Semenza,et al.  HIF-1-mediated suppression of acyl-CoA dehydrogenases and fatty acid oxidation is critical for cancer progression. , 2014, Cell reports.

[4]  G. Mazzucchelli,et al.  Blocking lipid synthesis overcomes tumor regrowth and metastasis after antiangiogenic therapy withdrawal. , 2014, Cell metabolism.

[5]  A. Sood,et al.  Resistance and escape from antiangiogenesis therapy: clinical implications and future strategies. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[6]  D. Sabatini,et al.  Cancer cell metabolism: one hallmark, many faces. , 2012, Cancer discovery.

[7]  L. Ellis,et al.  Antiangiogenic therapy—evolving view based on clinical trial results , 2012, Nature Reviews Clinical Oncology.

[8]  Chi V Dang,et al.  Links between metabolism and cancer. , 2012, Genes & development.

[9]  S. Indraccolo,et al.  Protein profiles in human ovarian cancer cell lines correspond to their metabolic activity and to metabolic profiles of respective tumor xenografts , 2012, The FEBS journal.

[10]  K. Brindle,et al.  Hyperpolarized (13)C spectroscopy detects early changes in tumor vasculature and metabolism after VEGF neutralization. , 2012, Cancer research.

[11]  O. Thews,et al.  Glycolytic phenotype and AMP kinase modify the pathologic response of tumor xenografts to VEGF neutralization. , 2011, Cancer research.

[12]  Rakesh K. Jain,et al.  Principles and mechanisms of vessel normalization for cancer and other angiogenic diseases , 2011, Nature Reviews Drug Discovery.

[13]  T. Taxt,et al.  Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma , 2011, Proceedings of the National Academy of Sciences.

[14]  M. Baumann,et al.  Co-localisation of hypoxia and perfusion markers with parameters of glucose metabolism in human squamous cell carcinoma (hSCC) xenografts , 2009, International journal of radiation biology.

[15]  A. Grothey,et al.  Targeting angiogenesis: progress with anti-VEGF treatment with large molecules , 2009, Nature Reviews Clinical Oncology.

[16]  R. Bicknell,et al.  Anticancer strategies involving the vasculature , 2009, Nature Reviews Clinical Oncology.

[17]  Gabriele Bergers,et al.  Modes of resistance to anti-angiogenic therapy , 2008, Nature Reviews Cancer.

[18]  T. Schroeder,et al.  Lactate in solid malignant tumors: potential basis of a metabolic classification in clinical oncology. , 2004, Current medicinal chemistry.

[19]  Stefan Walenta,et al.  Lactate: mirror and motor of tumor malignancy. , 2004, Seminars in radiation oncology.

[20]  R. Bertorelle,et al.  VEGF-targeted therapy stably modulates the glycolytic phenotype of tumor cells. , 2015, Cancer research.

[21]  S. Walenta,et al.  Localizing and Quantifying Metabolites In Situ with Luminometry: Induced Metabolic Bioluminescence Imaging (imBI) , 2014 .

[22]  R. Deberardinis,et al.  The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. , 2008, Cell metabolism.