Literature DB >> 26504932

Glucose Addiction in Cancer Therapy: Advances and Drawbacks.

Sara Granja, Céline Pinheiro, Rui Manuel Reis, Olga Martinho, Fátima Baltazar.   

Abstract

While normal differentiated cells primarily use mitochondrial respiration to generate the required energy for cellular processes, most cancer cells rely on glycolysis, even in sufficient oxygen conditions. This phenomenon is known as the "Warburg effect" or aerobic glycolysis and the metabolic reprogramming of cancer cells towards this altered energy metabolism is currently recognized as one of the "hallmarks of cancer". Aerobic glycolysis underlies the rapid growth of tumor cells, with high rates of glucose consumption and lactic acid production, leading to cellular acidosis. Metabolic reprogramming renders cancer cells dependent on specific metabolic enzymes or pathways that could be exploited in cancer therapy. The development of treatments that target tumor glucose metabolism is receiving renewed attention, with several drugs targeting metabolic pathways currently in clinical trials. The search for suitable targets, however, is limited by the high plasticity of the metabolic network that can induce compensatory routes. Deregulated glucose metabolism is a prominent feature associated with resistance to classical chemotherapy or oncogene-targeted therapies, strengthening the clinical potential of combining these therapies with glycolysis inhibitors. The aim of this review is to compare the advances of different therapeutic strategies targeting the glucose "addiction" of tumor cells, highlighting their potential as effective weapons against cancer. We further discuss recent evidence for the involvement of glucose metabolism as a compensatory response to the use of drugs that target different signaling pathways, where the combination with glycolysis inhibitors could prove extraordinarily useful.

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Year:  2015        PMID: 26504932     DOI: 10.2174/1389200216666150602145145

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  21 in total

1.  The metabolic microenvironment of melanomas: Prognostic value of MCT1 and MCT4.

Authors:  Céline Pinheiro; Vera Miranda-Gonçalves; Adhemar Longatto-Filho; Anna L S A Vicente; Gustavo N Berardinelli; Cristovam Scapulatempo-Neto; Ricardo F A Costa; Cristiano R Viana; Rui M Reis; Fátima Baltazar; Vinicius L Vazquez
Journal:  Cell Cycle       Date:  2016-04-22       Impact factor: 4.534

Review 2.  Pheochromocytoma: The First Metabolic Endocrine Cancer.

Authors:  Ivana Jochmanova; Karel Pacak
Journal:  Clin Cancer Res       Date:  2016-10-15       Impact factor: 12.531

3.  Standardized uptake value (SUVmax) in 18F-FDG PET/CT is correlated with the total number of main oncogenic anomalies in cancer patients.

Authors:  Amin Haghighat Jahromi; Geraldine Chang; Razelle Kurzrock; Carl K Hoh
Journal:  Cancer Biol Ther       Date:  2020-11-01       Impact factor: 4.742

4.  2-Deoxyglucose and sorafenib synergistically suppress the proliferation and motility of hepatocellular carcinoma cells.

Authors:  Minoru Tomizawa; Fuminobu Shinozaki; Yasufumi Motoyoshi; Takao Sugiyama; Shigenori Yamamoto; Naoki Ishige
Journal:  Oncol Lett       Date:  2016-12-16       Impact factor: 2.967

Review 5.  Competitive glucose metabolism as a target to boost bladder cancer immunotherapy.

Authors:  Julieta Afonso; Lúcio L Santos; Adhemar Longatto-Filho; Fátima Baltazar
Journal:  Nat Rev Urol       Date:  2020-01-17       Impact factor: 14.432

Review 6.  A guide to plasma membrane solute carrier proteins.

Authors:  Mattia D Pizzagalli; Ariel Bensimon; Giulio Superti-Furga
Journal:  FEBS J       Date:  2020-09-18       Impact factor: 5.542

7.  A Streamlined, Automated Protocol for the Production of Milligram Quantities of Untagged Recombinant Rat Lactate Dehydrogenase A Using ÄKTAxpressTM.

Authors:  Matthew W Nowicki; Elizabeth A Blackburn; Iain W McNae; Martin A Wear
Journal:  PLoS One       Date:  2015-12-30       Impact factor: 3.240

Review 8.  ROS homeostasis and metabolism: a critical liaison for cancer therapy.

Authors:  Jongdoo Kim; Jaehong Kim; Jong-Sup Bae
Journal:  Exp Mol Med       Date:  2016-11-04       Impact factor: 8.718

9.  Metabolic alterations underlying Bevacizumab therapy in glioblastoma cells.

Authors:  Vera Miranda-Gonçalves; Diana Cardoso-Carneiro; Inês Valbom; Fernanda Paula Cury; Viviane Aline Silva; Sara Granja; Rui M Reis; Fátima Baltazar; Olga Martinho
Journal:  Oncotarget       Date:  2017-10-10

10.  Combined Inhibitions of Glycolysis and AKT/autophagy Can Overcome Resistance to EGFR-targeted Therapy of Lung Cancer.

Authors:  Mingtong Ye; Sufan Wang; Ting Wan; Rui Jiang; Yun Qiu; Lei Pei; Nengzhi Pang; Yuanling Huang; Yufeng Huang; Zhenfeng Zhang; Lili Yang
Journal:  J Cancer       Date:  2017-10-17       Impact factor: 4.207

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