Literature DB >> 25381153

VEGF-targeted therapy stably modulates the glycolytic phenotype of tumor cells.

Matteo Curtarello1, Elisabetta Zulato1, Giorgia Nardo1, Silvia Valtorta2, Giulia Guzzo3, Elisabetta Rossi4, Giovanni Esposito1, Aichi Msaki1, Anna Pastò1, Andrea Rasola3, Luca Persano5, Francesco Ciccarese1, Roberta Bertorelle1, Sergio Todde6, Mario Plebani7, Henrike Schroer8, Stefan Walenta8, Wolfgang Mueller-Klieser8, Alberto Amadori9, Rosa Maria Moresco2, Stefano Indraccolo10.   

Abstract

Anti-VEGF therapy perturbs tumor metabolism, severely impairing oxygen, glucose, and ATP levels. In this study, we investigated the effects of anti-VEGF therapy in multiple experimental tumor models that differ in their glycolytic phenotypes to gain insights into optimal modulation of the metabolic features of this therapy. Prolonged treatments induced vascular regression and necrosis in tumor xenograft models, with highly glycolytic tumors becoming treatment resistant more rapidly than poorly glycolytic tumors. By PET imaging, prolonged treatments yielded an increase in both hypoxic and proliferative regions of tumors. A selection for highly glycolytic cells was noted and this metabolic shift was stable and associated with increased tumor aggressiveness and resistance to VEGF blockade in serially transplanted mice. Our results support the hypothesis that the highly glycolytic phenotype of tumor cells studied in xenograft models, either primary or secondary, is a cell-autonomous trait conferring resistance to VEGF blockade. The finding that metabolic traits of tumors can be selected by antiangiogenic therapy suggests insights into the evolutionary dynamics of tumor metabolism. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25381153     DOI: 10.1158/0008-5472.CAN-13-2037

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


  26 in total

1.  AMPK variant, a candidate of novel predictor for chemotherapy in metastatic colorectal cancer: A meta-analysis using TRIBE, MAVERICC and FIRE3.

Authors:  Ryuma Tokunaga; Shu Cao; Madiha Naseem; Francesca Battaglin; Jae Ho Lo; Hiroyuki Arai; Fotios Loupakis; Sebastian Stintzing; Alberto Puccini; Martin D Berger; Shivani Soni; Wu Zhang; Christoph Mancao; Bodour Salhia; Shannon M Mumenthaler; Daniel J Weisenberger; Gangning Liang; Chiara Cremolini; Volker Heinemann; Alfredo Falcone; Joshua Millstein; Heinz-Josef Lenz
Journal:  Int J Cancer       Date:  2019-03-26       Impact factor: 7.396

2.  Vascular endothelial growth factor blockade elicits a stable metabolic shift in tumor cells: therapeutic implications.

Authors:  Stefano Indraccolo
Journal:  Mol Cell Oncol       Date:  2015-02-03

3.  Sigma-2 Receptors Play a Role in Cellular Metabolism: Stimulation of Glycolytic Hallmarks by CM764 in Human SK-N-SH Neuroblastoma.

Authors:  Hilary Nicholson; Christophe Mesangeau; Christopher R McCurdy; Wayne D Bowen
Journal:  J Pharmacol Exp Ther       Date:  2015-11-16       Impact factor: 4.030

Review 4.  The Challenges of Modeling Drug Resistance to Antiangiogenic Therapy.

Authors:  Michalis Mastri; Spencer Rosario; Amanda Tracz; Robin E Frink; Rolf A Brekken; John M L Ebos
Journal:  Curr Drug Targets       Date:  2016       Impact factor: 3.465

Review 5.  Metabolic Strategies for Inhibiting Cancer Development.

Authors:  Philippe Icard; Mauro Loi; Zherui Wu; Antonin Ginguay; Hubert Lincet; Edouard Robin; Antoine Coquerel; Diana Berzan; Ludovic Fournel; Marco Alifano
Journal:  Adv Nutr       Date:  2021-07-30       Impact factor: 8.701

Review 6.  Oxygen and metabolic reprogramming in the tumor microenvironment influences metastasis homing.

Authors:  Vinod S Bisht; Kuldeep Giri; Deepak Kumar; Kiran Ambatipudi
Journal:  Cancer Biol Ther       Date:  2021-10-25       Impact factor: 4.742

Review 7.  Potential of Induced Metabolic Bioluminescence Imaging to Uncover Metabolic Effects of Antiangiogenic Therapy in Tumors.

Authors:  Stefano Indraccolo; Wolfgang Mueller-Klieser
Journal:  Front Oncol       Date:  2016-02-01       Impact factor: 6.244

8.  A hypoxic signature marks tumors formed by disseminated tumor cells in the BALB-neuT mammary cancer model.

Authors:  Aichi Msaki; Anna Pastò; Matteo Curtarello; Maddalena Arigoni; Giuseppina Barutello; Raffaele Adolfo Calogero; Marco Macagno; Federica Cavallo; Alberto Amadori; Stefano Indraccolo
Journal:  Oncotarget       Date:  2016-05-31

9.  Divergent in vitro/in vivo responses to drug treatments of highly aggressive NIH-Ras cancer cells: a PET imaging and metabolomics-mass-spectrometry study.

Authors:  Daniela Gaglio; Silvia Valtorta; Marilena Ripamonti; Marcella Bonanomi; Chiara Damiani; Sergio Todde; Alfredo Simone Negri; Francesca Sanvito; Fabrizia Mastroianni; Antonella Di Campli; Gabriele Turacchio; Giuseppe Di Grigoli; Sara Belloli; Alberto Luini; Maria Carla Gilardi; Anna Maria Colangelo; Lilia Alberghina; Rosa Maria Moresco
Journal:  Oncotarget       Date:  2016-08-09

10.  Targeting Metabolic Symbiosis to Overcome Resistance to Anti-angiogenic Therapy.

Authors:  Laura Pisarsky; Ruben Bill; Ernesta Fagiani; Sarah Dimeloe; Ryan William Goosen; Jörg Hagmann; Christoph Hess; Gerhard Christofori
Journal:  Cell Rep       Date:  2016-04-28       Impact factor: 9.423

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