Literature DB >> 25769724

Metabolic signature identifies novel targets for drug resistance in multiple myeloma.

Patricia Maiso1, Daisy Huynh1, Michele Moschetta1, Antonio Sacco1, Yosra Aljawai1, Yuji Mishima1, John M Asara2, Aldo M Roccaro1, Alec C Kimmelman3, Irene M Ghobrial4.   

Abstract

Drug resistance remains a major clinical challenge for cancer treatment. Multiple myeloma is an incurable plasma cell cancer selectively localized in the bone marrow. The main cause of resistance in myeloma is the minimal residual disease cells that are resistant to the original therapy, including bortezomib treatment and high-dose melphalan in stem cell transplant. In this study, we demonstrate that altered tumor cell metabolism is essential for the regulation of drug resistance in multiple myeloma cells. We show the unprecedented role of the metabolic phenotype in inducing drug resistance through LDHA and HIF1A in multiple myeloma, and that specific inhibition of LDHA and HIF1A can restore sensitivity to therapeutic agents such as bortezomib and can also inhibit tumor growth induced by altered metabolism. Knockdown of LDHA can restore sensitivity of bortezomib resistance cell lines while gain-of-function studies using LDHA or HIF1A induced resistance in bortezomib-sensitive cell lines. Taken together, these data suggest that HIF1A and LDHA are important targets for hypoxia-driven drug resistance. Novel drugs that regulate metabolic pathways in multiple myeloma, specifically targeting LDHA, can be beneficial to inhibit tumor growth and overcome drug resistance. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25769724      PMCID: PMC4433568          DOI: 10.1158/0008-5472.CAN-14-3400

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


  45 in total

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Journal:  Science       Date:  1956-08-10       Impact factor: 47.728

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Authors:  Yuhua Zhao; Hao Liu; Zixing Liu; Yan Ding; Susan P Ledoux; Glenn L Wilson; Richard Voellmy; Yifeng Lin; Wensheng Lin; Rita Nahta; Bolin Liu; Oystein Fodstad; Jieqing Chen; Yun Wu; Janet E Price; Ming Tan
Journal:  Cancer Res       Date:  2011-04-15       Impact factor: 12.701

3.  Lysyl oxidase is essential for hypoxia-induced metastasis.

Authors:  Janine T Erler; Kevin L Bennewith; Monica Nicolau; Nadja Dornhöfer; Christina Kong; Quynh-Thu Le; Jen-Tsan Ashley Chi; Stefanie S Jeffrey; Amato J Giaccia
Journal:  Nature       Date:  2006-04-27       Impact factor: 49.962

4.  Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib.

Authors:  George Mulligan; Constantine Mitsiades; Barb Bryant; Fenghuang Zhan; Wee J Chng; Steven Roels; Erik Koenig; Andrew Fergus; Yongsheng Huang; Paul Richardson; William L Trepicchio; Annemiek Broyl; Pieter Sonneveld; John D Shaughnessy; P Leif Bergsagel; David Schenkein; Dixie-Lee Esseltine; Anthony Boral; Kenneth C Anderson
Journal:  Blood       Date:  2006-12-21       Impact factor: 22.113

5.  The histone deacetylase inhibitor LBH589 is a potent antimyeloma agent that overcomes drug resistance.

Authors:  Patricia Maiso; Xonia Carvajal-Vergara; Enrique M Ocio; Ricardo López-Pérez; Gema Mateo; Norma Gutiérrez; Peter Atadja; Atanasio Pandiella; Jesús F San Miguel
Journal:  Cancer Res       Date:  2006-06-01       Impact factor: 12.701

Review 6.  Why do cancers have high aerobic glycolysis?

Authors:  Robert A Gatenby; Robert J Gillies
Journal:  Nat Rev Cancer       Date:  2004-11       Impact factor: 60.716

7.  Sphingosine kinase 1: a new modulator of hypoxia inducible factor 1alpha during hypoxia in human cancer cells.

Authors:  Isabelle Ader; Leyre Brizuela; Pierre Bouquerel; Bernard Malavaud; Olivier Cuvillier
Journal:  Cancer Res       Date:  2008-10-15       Impact factor: 12.701

8.  Under normoxia, 2-deoxy-D-glucose elicits cell death in select tumor types not by inhibition of glycolysis but by interfering with N-linked glycosylation.

Authors:  Metin Kurtoglu; Ningguo Gao; Jie Shang; Johnathan C Maher; Mark A Lehrman; Medhi Wangpaichitr; Niramol Savaraj; Andrew N Lane; Theodore J Lampidis
Journal:  Mol Cancer Ther       Date:  2007-11       Impact factor: 6.261

Review 9.  Targeting glucose metabolism for cancer therapy.

Authors:  Robert B Hamanaka; Navdeep S Chandel
Journal:  J Exp Med       Date:  2012-02-13       Impact factor: 14.307

10.  PID: the Pathway Interaction Database.

Authors:  Carl F Schaefer; Kira Anthony; Shiva Krupa; Jeffrey Buchoff; Matthew Day; Timo Hannay; Kenneth H Buetow
Journal:  Nucleic Acids Res       Date:  2008-10-02       Impact factor: 16.971

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  77 in total

Review 1.  The bone-marrow niche in MDS and MGUS: implications for AML and MM.

Authors:  Irene M Ghobrial; Alexandre Detappe; Kenneth C Anderson; David P Steensma
Journal:  Nat Rev Clin Oncol       Date:  2018-01-09       Impact factor: 66.675

2.  miR-489 suppresses multiple myeloma cells growth through inhibition of LDHA-mediated aerobic glycolysis.

Authors:  Han Wu; Xiuhong Wang; Tingting Wu; Su Yang
Journal:  Genes Genomics       Date:  2019-12-23       Impact factor: 1.839

3.  Efficacy of the HSP70 inhibitor PET-16 in multiple myeloma.

Authors:  Charvann K Bailey; Anna Budina-Kolomets; Maureen E Murphy; Yulia Nefedova
Journal:  Cancer Biol Ther       Date:  2015-07-15       Impact factor: 4.742

4.  A metabolic switch in proteasome inhibitor-resistant multiple myeloma ensures higher mitochondrial metabolism, protein folding and sphingomyelin synthesis.

Authors:  Lenka Besse; Andrej Besse; Max Mendez-Lopez; Katerina Vasickova; Miroslava Sedlackova; Petr Vanhara; Marianne Kraus; Jürgen Bader; Renan B Ferreira; Ronald K Castellano; Brian K Law; Christoph Driessen
Journal:  Haematologica       Date:  2019-02-21       Impact factor: 9.941

5.  Stable shRNA Silencing of Lactate Dehydrogenase A (LDHA) in Human MDA-MB-231 Breast Cancer Cells Fails to Alter Lactic Acid Production, Glycolytic Activity, ATP or Survival.

Authors:  Nzinga Mack; Elizabeth A Mazzio; David Bauer; Hernan Flores-Rozas; Karam F A Soliman
Journal:  Anticancer Res       Date:  2017-03       Impact factor: 2.480

6.  Preclinical validation of Alpha-Enolase (ENO1) as a novel immunometabolic target in multiple myeloma.

Authors:  Arghya Ray; Yan Song; Ting Du; Dharminder Chauhan; Kenneth C Anderson
Journal:  Oncogene       Date:  2020-02-05       Impact factor: 9.867

7.  Proteometabolomics of Melphalan Resistance in Multiple Myeloma.

Authors:  David C Koomen; Joy D Guingab-Cagmat; Paula S Oliveira; Bin Fang; Min Liu; Eric A Welsh; Mark B Meads; Tuan Nguyen; Laurel Meke; Steven A Eschrich; Kenneth H Shain; Timothy J Garrett; John M Koomen
Journal:  Methods Mol Biol       Date:  2019

8.  Pluronic block copolymers enhance the anti-myeloma activity of proteasome inhibitors.

Authors:  Hangting Hu; Armen Petrosyan; Natalia A Osna; Tong Liu; Appolinaire A Olou; Daria Y Alakhova; Pankaj K Singh; Alexander V Kabanov; Edward A Faber; Tatiana K Bronich
Journal:  J Control Release       Date:  2019-05-20       Impact factor: 9.776

9.  Hypoxia promotes IL-32 expression in myeloma cells, and high expression is associated with poor survival and bone loss.

Authors:  Muhammad Zahoor; Marita Westhrin; Kristin Roseth Aass; Siv Helen Moen; Kristine Misund; Katarzyna Maria Psonka-Antonczyk; Mariaserena Giliberto; Glenn Buene; Anders Sundan; Anders Waage; Anne-Marit Sponaas; Therese Standal
Journal:  Blood Adv       Date:  2017-12-13

10.  Effects of survivin on FVADT chemotherapy for refractory multiple myeloma.

Authors:  Hua Yang; Xingjun Du; Yuren Xi
Journal:  Exp Ther Med       Date:  2016-05-26       Impact factor: 2.447

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