1
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Heins-Marroquin U, Singh RR, Perathoner S, Gavotto F, Merino Ruiz C, Patraskaki M, Gomez-Giro G, Kleine Borgmann F, Meyer M, Carpentier A, Warmoes MO, Jäger C, Mittelbronn M, Schwamborn JC, Cordero-Maldonado ML, Crawford AD, Schymanski EL, Linster CL. CLN3 deficiency leads to neurological and metabolic perturbations during early development. Life Sci Alliance 2024; 7:e202302057. [PMID: 38195117 PMCID: PMC10776888 DOI: 10.26508/lsa.202302057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 01/11/2024] Open
Abstract
Juvenile neuronal ceroid lipofuscinosis (or Batten disease) is an autosomal recessive, rare neurodegenerative disorder that affects mainly children above the age of 5 yr and is most commonly caused by mutations in the highly conserved CLN3 gene. Here, we generated cln3 morphants and stable mutant lines in zebrafish. Although neither morphant nor mutant cln3 larvae showed any obvious developmental or morphological defects, behavioral phenotyping of the mutant larvae revealed hyposensitivity to abrupt light changes and hypersensitivity to pro-convulsive drugs. Importantly, in-depth metabolomics and lipidomics analyses revealed significant accumulation of several glycerophosphodiesters (GPDs) and cholesteryl esters, and a global decrease in bis(monoacylglycero)phosphate species, two of which (GPDs and bis(monoacylglycero)phosphates) were previously proposed as potential biomarkers for CLN3 disease based on independent studies in other organisms. We could also demonstrate GPD accumulation in human-induced pluripotent stem cell-derived cerebral organoids carrying a pathogenic variant for CLN3 Our models revealed that GPDs accumulate at very early stages of life in the absence of functional CLN3 and highlight glycerophosphoinositol and BMP as promising biomarker candidates for pre-symptomatic CLN3 disease.
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Affiliation(s)
- Ursula Heins-Marroquin
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Randolph R Singh
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- https://ror.org/00hj8s172 Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Simon Perathoner
- Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Floriane Gavotto
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Carla Merino Ruiz
- Institut d'Investigació Sanitària Pere Virgili, Tarragona, Spain
- Biosfer Teslab SL, Reus, Spain
| | - Myrto Patraskaki
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Gemma Gomez-Giro
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Felix Kleine Borgmann
- National Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg
- Department of Oncology (DONC), Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Melanie Meyer
- National Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg
| | - Anaïs Carpentier
- National Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg
| | - Marc O Warmoes
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Christian Jäger
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Michel Mittelbronn
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- National Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg
- Department of Oncology (DONC), Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
- Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Department of Life Science and Medicine (DLSM), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Jens C Schwamborn
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | | | - Alexander D Crawford
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Department of Preclinical Sciences and Pathology, Norwegian University of Life Sciences (NMBU), Ås, Norway
- Institute for Orphan Drug Discovery, Bremerhaven, Germany
| | - Emma L Schymanski
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Carole L Linster
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
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2
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Van Bergen NJ, Gunanayagam K, Bournazos AM, Walvekar AS, Warmoes MO, Semcesen LN, Lunke S, Bommireddipalli S, Sikora T, Patraskaki M, Jones DL, Garza D, Sebire D, Gooley S, McLean CA, Naidoo P, Rajasekaran M, Stroud DA, Linster CL, Wallis M, Cooper ST, Christodoulou J. Severe NAD(P)HX Dehydratase (NAXD) Neurometabolic Syndrome May Present in Adulthood after Mild Head Trauma. Int J Mol Sci 2023; 24:ijms24043582. [PMID: 36834994 PMCID: PMC9963268 DOI: 10.3390/ijms24043582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/01/2023] [Accepted: 02/01/2023] [Indexed: 02/12/2023] Open
Abstract
We have previously reported that pathogenic variants in a key metabolite repair enzyme NAXD cause a lethal neurodegenerative condition triggered by episodes of fever in young children. However, the clinical and genetic spectrum of NAXD deficiency is broadening as our understanding of the disease expands and as more cases are identified. Here, we report the oldest known individual succumbing to NAXD-related neurometabolic crisis, at 32 years of age. The clinical deterioration and demise of this individual were likely triggered by mild head trauma. This patient had a novel homozygous NAXD variant [NM_001242882.1:c.441+3A>G:p.?] that induces the mis-splicing of the majority of NAXD transcripts, leaving only trace levels of canonically spliced NAXD mRNA, and protein levels below the detection threshold by proteomic analysis. Accumulation of damaged NADH, the substrate of NAXD, could be detected in the fibroblasts of the patient. In agreement with prior anecdotal reports in paediatric patients, niacin-based treatment also partly alleviated some clinical symptoms in this adult patient. The present study extends our understanding of NAXD deficiency by uncovering shared mitochondrial proteomic signatures between the adult and our previously reported paediatric NAXD cases, with reduced levels of respiratory complexes I and IV as well as the mitoribosome, and the upregulation of mitochondrial apoptotic pathways. Importantly, we highlight that head trauma in adults, in addition to paediatric fever or illness, may precipitate neurometabolic crises associated with pathogenic NAXD variants.
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Affiliation(s)
- Nicole J. Van Bergen
- Brain and Mitochondrial Research Group, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, VIC 3002, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC 3002, Australia
- Correspondence: (N.J.V.B.); (J.C.)
| | - Karen Gunanayagam
- Department of Neurology, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - Adam M. Bournazos
- Kids Neuroscience Centre, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- The Children’s Medical Research Institute, 214 Hawkesbury Road, Westmead, Sydney, NSW 2145, Australia
| | - Adhish S. Walvekar
- Enzymology and Metabolism Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Marc O. Warmoes
- Enzymology and Metabolism Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Liana N. Semcesen
- Department of Biochemistry & Pharmacology, Bio21 Molecular Science & Biotechnology Institute, University of Melbourne, Melbourne, VIC 3002, Australia
| | - Sebastian Lunke
- Department of Paediatrics, University of Melbourne, Melbourne, VIC 3002, Australia
- Victorian Clinical Genetics Services, Royal Children’s Hospital, Melbourne, VIC 3002, Australia
| | - Shobhana Bommireddipalli
- Kids Neuroscience Centre, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- The Children’s Medical Research Institute, 214 Hawkesbury Road, Westmead, Sydney, NSW 2145, Australia
| | - Tim Sikora
- Brain and Mitochondrial Research Group, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, VIC 3002, Australia
| | - Myrto Patraskaki
- Enzymology and Metabolism Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Dean L. Jones
- Department of Neurology, Royal Hobart Hospital, Hobart, TAS 7000, Australia
- School of Medicine, University of Tasmania, Hobart, TAS 7000, Australia
| | - Denisse Garza
- Tasmanian Clinical Genetics Service, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - Dale Sebire
- Department of Neurology, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - Samuel Gooley
- Department of Neurology, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - Catriona A. McLean
- Department of Anatomical Pathology, Alfred Hospital, Melbourne, VIC 3002, Australia
| | - Parm Naidoo
- Department of Medical Imaging, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - Mugil Rajasekaran
- Department of Medical Imaging, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - David A. Stroud
- Brain and Mitochondrial Research Group, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, VIC 3002, Australia
- Department of Biochemistry & Pharmacology, Bio21 Molecular Science & Biotechnology Institute, University of Melbourne, Melbourne, VIC 3002, Australia
| | - Carole L. Linster
- Enzymology and Metabolism Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Mathew Wallis
- School of Medicine, University of Tasmania, Hobart, TAS 7000, Australia
- Tasmanian Clinical Genetics Service, Royal Hobart Hospital, Hobart, TAS 7000, Australia
| | - Sandra T. Cooper
- Kids Neuroscience Centre, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- The Children’s Medical Research Institute, 214 Hawkesbury Road, Westmead, Sydney, NSW 2145, Australia
- Discipline of Child and Adolescent Health, Faculty of Health and Medicine, University of Sydney, Sydney, NSW 2006, Australia
| | - John Christodoulou
- Brain and Mitochondrial Research Group, Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, VIC 3002, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC 3002, Australia
- Victorian Clinical Genetics Services, Royal Children’s Hospital, Melbourne, VIC 3002, Australia
- Discipline of Child and Adolescent Health, Faculty of Health and Medicine, University of Sydney, Sydney, NSW 2006, Australia
- Correspondence: (N.J.V.B.); (J.C.)
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3
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Schwabkey ZI, Wiesnoski DH, Chang CC, Tsai WB, Pham D, Ahmed SS, Hayase T, Turrubiates MRO, El-Himri RK, Sanchez CA, Hayase E, Oquendo ACF, Miyama T, Halsey TM, Heckel BE, Brown AN, Jin Y, Raybaud M, Prasad R, Flores I, McDaniel L, Chapa V, Lorenzi PL, Warmoes MO, Tan L, Swennes AG, Fowler S, Conner M, McHugh K, Graf T, Jensen VB, Peterson CB, Do KA, Zhang L, Shi Y, Wang Y, Galloway-Pena JR, Okhuysen PC, Daniel-MacDougall CR, Shono Y, da Silva MB, Peled JU, van den Brink MR, Ajami N, Wargo JA, Reddy P, Valdivia RH, Davey L, Rondon G, Srour SA, Mehta RS, Alousi AM, Shpall EJ, Champlin RE, Shelburne SA, Molldrem JJ, Jamal MA, Karmouch JL, Jenq RR. Diet-derived metabolites and mucus link the gut microbiome to fever after cytotoxic cancer treatment. Sci Transl Med 2022; 14:eabo3445. [PMID: 36383683 PMCID: PMC10028729 DOI: 10.1126/scitranslmed.abo3445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Not all patients with cancer and severe neutropenia develop fever, and the fecal microbiome may play a role. In a single-center study of patients undergoing hematopoietic cell transplant (n = 119), the fecal microbiome was characterized at onset of severe neutropenia. A total of 63 patients (53%) developed a subsequent fever, and their fecal microbiome displayed increased relative abundances of Akkermansia muciniphila, a species of mucin-degrading bacteria (P = 0.006, corrected for multiple comparisons). Two therapies that induce neutropenia, irradiation and melphalan, similarly expanded A. muciniphila and additionally thinned the colonic mucus layer in mice. Caloric restriction of unirradiated mice also expanded A. muciniphila and thinned the colonic mucus layer. Antibiotic treatment to eradicate A. muciniphila before caloric restriction preserved colonic mucus, whereas A. muciniphila reintroduction restored mucus thinning. Caloric restriction of unirradiated mice raised colonic luminal pH and reduced acetate, propionate, and butyrate. Culturing A. muciniphila in vitro with propionate reduced utilization of mucin as well as of fucose. Treating irradiated mice with an antibiotic targeting A. muciniphila or propionate preserved the mucus layer, suppressed translocation of flagellin, reduced inflammatory cytokines in the colon, and improved thermoregulation. These results suggest that diet, metabolites, and colonic mucus link the microbiome to neutropenic fever and may guide future microbiome-based preventive strategies.
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Affiliation(s)
- Zaker I. Schwabkey
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Diana H. Wiesnoski
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chia-Chi Chang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wen-Bin Tsai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dung Pham
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Saira S. Ahmed
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tomo Hayase
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Rawan K. El-Himri
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher A. Sanchez
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Eiko Hayase
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Annette C. Frenk Oquendo
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Takahiko Miyama
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Taylor M. Halsey
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Brooke E. Heckel
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexandria N. Brown
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yimei Jin
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mathilde Raybaud
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rishika Prasad
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ivonne Flores
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lauren McDaniel
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Valerie Chapa
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Philip L. Lorenzi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Marc O. Warmoes
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lin Tan
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alton G. Swennes
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Stephanie Fowler
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Margaret Conner
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Kevin McHugh
- CPRIT Scholar in Cancer Research, Austin, TX 78701, USA
- Department of Bioengineering, Rice University, Houston, TX 77251, USA
| | - Tyler Graf
- Department of Bioengineering, Rice University, Houston, TX 77251, USA
| | - Vanessa B. Jensen
- Department of Veterinary Medicine and Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christine B. Peterson
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kim-Anh Do
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Liangliang Zhang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yushu Shi
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yinghong Wang
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jessica R. Galloway-Pena
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, College Station, TX 77843, USA
| | - Pablo C. Okhuysen
- Department of Infectious Diseases, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Yusuke Shono
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Marina Burgos da Silva
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jonathan U. Peled
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Weill Cornell Medical College, New York, NY 10021, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Marcel R.M. van den Brink
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Weill Cornell Medical College, New York, NY 10021, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Nadim Ajami
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer A. Wargo
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Pavan Reddy
- Department of Hematology and Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Raphael H. Valdivia
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710 USA
| | - Lauren Davey
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710 USA
| | - Gabriela Rondon
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Samer A. Srour
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rohtesh S. Mehta
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Amin M. Alousi
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Elizabeth J. Shpall
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Richard E. Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Samuel A. Shelburne
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Infectious Diseases, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jeffrey J. Molldrem
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Hematopoietic Biology and Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mohamed A. Jamal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer L. Karmouch
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert R. Jenq
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- CPRIT Scholar in Cancer Research, Austin, TX 78701, USA
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Corresponding author.
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4
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Baran N, Lodi A, Dhungana Y, Herbrich S, Collins M, Sweeney S, Pandey R, Skwarska A, Patel S, Tremblay M, Kuruvilla VM, Cavazos A, Kaplan M, Warmoes MO, Veiga DT, Furudate K, Rojas-Sutterin S, Haman A, Gareau Y, Marinier A, Ma H, Harutyunyan K, Daher M, Garcia LM, Al-Atrash G, Piya S, Ruvolo V, Yang W, Shanmugavelandy SS, Feng N, Gay J, Du D, Yang JJ, Hoff FW, Kaminski M, Tomczak K, Eric Davis R, Herranz D, Ferrando A, Jabbour EJ, Emilia Di Francesco M, Teachey DT, Horton TM, Kornblau S, Rezvani K, Sauvageau G, Gagea M, Andreeff M, Takahashi K, Marszalek JR, Lorenzi PL, Yu J, Tiziani S, Hoang T, Konopleva M. Inhibition of mitochondrial complex I reverses NOTCH1-driven metabolic reprogramming in T-cell acute lymphoblastic leukemia. Nat Commun 2022; 13:2801. [PMID: 35589701 PMCID: PMC9120040 DOI: 10.1038/s41467-022-30396-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/25/2022] [Indexed: 01/05/2023] Open
Abstract
T-cell acute lymphoblastic leukemia (T-ALL) is commonly driven by activating mutations in NOTCH1 that facilitate glutamine oxidation. Here we identify oxidative phosphorylation (OxPhos) as a critical pathway for leukemia cell survival and demonstrate a direct relationship between NOTCH1, elevated OxPhos gene expression, and acquired chemoresistance in pre-leukemic and leukemic models. Disrupting OxPhos with IACS-010759, an inhibitor of mitochondrial complex I, causes potent growth inhibition through induction of metabolic shut-down and redox imbalance in NOTCH1-mutated and less so in NOTCH1-wt T-ALL cells. Mechanistically, inhibition of OxPhos induces a metabolic reprogramming into glutaminolysis. We show that pharmacological blockade of OxPhos combined with inducible knock-down of glutaminase, the key glutamine enzyme, confers synthetic lethality in mice harboring NOTCH1-mutated T-ALL. We leverage on this synthetic lethal interaction to demonstrate that IACS-010759 in combination with chemotherapy containing L-asparaginase, an enzyme that uncovers the glutamine dependency of leukemic cells, causes reduced glutaminolysis and profound tumor reduction in pre-clinical models of human T-ALL. In summary, this metabolic dependency of T-ALL on OxPhos provides a rational therapeutic target.
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Affiliation(s)
- Natalia Baran
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alessia Lodi
- Department of Nutritional Sciences, Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Yogesh Dhungana
- St. Jude Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shelley Herbrich
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Meghan Collins
- Department of Nutritional Sciences, Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Shannon Sweeney
- Department of Nutritional Sciences, Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Renu Pandey
- Department of Nutritional Sciences, Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Anna Skwarska
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shraddha Patel
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mathieu Tremblay
- Institute for Research in Immunology and Cancer, The University of Montreal, Montréal, QC, Canada
| | - Vinitha Mary Kuruvilla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Antonio Cavazos
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mecit Kaplan
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marc O Warmoes
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Oral and Maxillofacial Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan
| | - Shanti Rojas-Sutterin
- Institute for Research in Immunology and Cancer, The University of Montreal, Montréal, QC, Canada
| | - Andre Haman
- Institute for Research in Immunology and Cancer, The University of Montreal, Montréal, QC, Canada
| | - Yves Gareau
- Institute for Research in Immunology and Cancer, The University of Montreal, Montréal, QC, Canada
| | - Anne Marinier
- Institute for Research in Immunology and Cancer, The University of Montreal, Montréal, QC, Canada
| | - Helen Ma
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Karine Harutyunyan
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - May Daher
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luciana Melo Garcia
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gheath Al-Atrash
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sujan Piya
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vivian Ruvolo
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wentao Yang
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | - Ningping Feng
- TRACTION Platform, Therapeutics Discovery Division, University of Texas M. D. Anderson Cancer Center, Houston, USA
| | - Jason Gay
- TRACTION Platform, Therapeutics Discovery Division, University of Texas M. D. Anderson Cancer Center, Houston, USA
| | - Di Du
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jun J Yang
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Fieke W Hoff
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcin Kaminski
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Katarzyna Tomczak
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - R Eric Davis
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel Herranz
- Rutgers Robert Wood Johnson Medical School, Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Adolfo Ferrando
- Irving Cancer Research Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Elias J Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M Emilia Di Francesco
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David T Teachey
- Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA
| | - Terzah M Horton
- Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Steven Kornblau
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katayoun Rezvani
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guy Sauvageau
- Institute for Research in Immunology and Cancer, The University of Montreal, Montréal, QC, Canada
| | - Mihai Gagea
- Department of Veterinary Medicine and Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Andreeff
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Joseph R Marszalek
- TRACTION Platform, Therapeutics Discovery Division, University of Texas M. D. Anderson Cancer Center, Houston, USA
| | - Philip L Lorenzi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiyang Yu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Stefano Tiziani
- Department of Nutritional Sciences, Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Trang Hoang
- Institute for Research in Immunology and Cancer, The University of Montreal, Montréal, QC, Canada
- Department of Pharmacology and Physiology, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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5
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Jiao J, Kwan SY, Sabotta CM, Tanaka H, Veillon L, Warmoes MO, Lorenzi PL, Wang Y, Wei P, Hawk ET, Almeda JL, McCormick JB, Fisher-Hoch SP, Beretta L. Circulating Fatty Acids Associated with Advanced Liver Fibrosis and Hepatocellular Carcinoma in South Texas Hispanics. Cancer Epidemiol Biomarkers Prev 2021; 30:1643-1651. [PMID: 34155064 PMCID: PMC8419070 DOI: 10.1158/1055-9965.epi-21-0183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/23/2021] [Accepted: 05/27/2021] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND Hispanics in South Texas have high rates of hepatocellular carcinoma (HCC) and nonalcoholic fatty liver disease (NAFLD). Liver fibrosis severity is the strongest predictive factor of NAFLD progression to HCC. We examined the association between free fatty acids (FA) and advanced liver fibrosis or HCC in this population. METHODS We quantified 45 FAs in plasma of 116 subjects of the Cameron County Hispanic Cohort, 15 Hispanics with HCC, and 56 first/second-degree relatives of Hispanics with HCC. Liver fibrosis was assessed by FibroScan. RESULTS Advanced liver fibrosis was significantly associated with low expression of very long chain (VLC) saturated FAs (SFA), odd chain SFAs, and VLC n-3 polyunsaturated FAs [PUFA; AOR; 95% confidence interval (CI), 10.4 (3.7-29.6); P < 0.001; 5.7 (2.2-15.2); P < 0.001; and 3.7 (1.5-9.3); P = 0.005]. VLC n3-PUFAs significantly improved the performance of the noninvasive markers for advanced fibrosis - APRI, FIB-4, and NFS. Plasma concentrations of VLC SFAs and VLC n-3 PUFAs were further reduced in patients with HCC. Low concentrations of these FAs were also observed in relatives of patients with HCC and in subjects with the PNPLA3 rs738409 homozygous genotype. CONCLUSIONS Low plasma concentrations of VLC n-3 PUFAs and VLC SFAs were strongly associated with advanced liver fibrosis and HCC in this population. Genetic factors were associated with low concentrations of these FAs as well. IMPACT These results have implications in identifying those at risk for liver fibrosis progression to HCC and in screening this population for advanced fibrosis. They also prompt the evaluation of VLC n-3 PUFA or VLC SFA supplementation to prevent cirrhosis and HCC.
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Affiliation(s)
- Jingjing Jiao
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Suet-Ying Kwan
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Caroline M Sabotta
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Honami Tanaka
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lucas Veillon
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marc O Warmoes
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Philip L Lorenzi
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ying Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ernest T Hawk
- Department of Clinical Cancer Prevention, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jose Luis Almeda
- Doctors Hospital at Renaissance and University of Texas Rio Grande Valley School of Medicine, Edinburg, Texas
| | - Joseph B McCormick
- School of Public Health, University of Texas Health Science Center at Houston, Brownsville Regional Campus, Brownsville, Texas
| | - Susan P Fisher-Hoch
- School of Public Health, University of Texas Health Science Center at Houston, Brownsville Regional Campus, Brownsville, Texas
| | - Laura Beretta
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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6
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Sanchez JI, Jiao J, Kwan SY, Veillon L, Warmoes MO, Tan L, Odewole M, Rich NE, Wei P, Lorenzi PL, Singal AG, Beretta L. Lipidomic Profiles of Plasma Exosomes Identify Candidate Biomarkers for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis. Cancer Prev Res (Phila) 2021; 14:955-962. [PMID: 34253566 DOI: 10.1158/1940-6207.capr-20-0612] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/28/2021] [Accepted: 07/07/2021] [Indexed: 12/20/2022]
Abstract
Novel biomarkers for HCC surveillance in cirrhotic patients are urgently needed. Exosomes and their lipid content in particular represent potentially valuable noninvasive diagnostic biomarkers. We isolated exosomes from plasma of 72 cirrhotic patients, including 31 with HCC. Exosomes and unfractionated plasma were processed for untargeted lipidomics using ultra-high-resolution mass spectrometry. A total of 2,864 lipid species, belonging to 52 classes, were identified. Both exosome fractionation and HCC diagnosis had significant impact on the lipid profiles. Ten lipid classes were enriched in HCC exosomes compared with non-HCC exosomes. Dilysocardiolipins were detected in 35% of the HCC exosomes but in none of the non-HCC exosomes (P < 0.001). Cardiolipins and sphingosines had the highest differential effects (fold change of 133.08, q = 0.001 and 38.57, q < 0.001, respectively). In logistic regression analysis, high abundances of exosomal sphingosines, dilysocardiolipins, lysophosphatidylserines, and (O-acyl)-1-hydroxy fatty acids were strongly associated with HCC [OR (95% confidence interval (CI)), 271.1 (14.0-5,251.9), P < 0.001; 46.5 (2.3-939.9), P = 0.012; 14.9 (4.3-51.2), P < 0.001; 10.3 (3.2-33.1), P < 0.001]. Four lipid classes were depleted in HCC exosomes compared with non-HCC exosomes. In logistic regression analysis, lack of detection of sulfatides and acylGlcSitosterol esters was strongly associated with HCC [OR (95% CI): 215.5 (11.5-4,035.9), P < 0.001; 26.7 (1.4-528.4), P = 0.031]. These HCC-associated changes in lipid composition of exosomes reflected alterations in glycerophospholipid metabolism, retrograde endocannabinoid signaling, and ferroptosis. In conclusion, this study identified candidate biomarkers for early detection of HCC as well as altered pathways in exosomes that may contribute to tumor development and progression. PREVENTION RELEVANCE: This study identifies lipids in circulating exosomes, that could serve as biomarkers for the early detection of hepatocellular carcinoma as well as altered pathways in exosomes that may contribute to tumor development and progression.
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Affiliation(s)
- Jessica I Sanchez
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jingjing Jiao
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Suet-Ying Kwan
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lucas Veillon
- Department of Bioinformatics and Computational Biology, Proteomics and Metabolomics Core Facility, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marc O Warmoes
- Department of Bioinformatics and Computational Biology, Proteomics and Metabolomics Core Facility, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lin Tan
- Department of Bioinformatics and Computational Biology, Proteomics and Metabolomics Core Facility, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mobolaji Odewole
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Nicole E Rich
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Philip L Lorenzi
- Department of Bioinformatics and Computational Biology, Proteomics and Metabolomics Core Facility, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Amit G Singal
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Laura Beretta
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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7
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Wang T, Gnanaprakasam JNR, Chen X, Kang S, Xu X, Sun H, Liu L, Rodgers H, Miller E, Cassel TA, Sun Q, Vicente-Muñoz S, Warmoes MO, Lin P, Piedra-Quintero ZL, Guerau-de-Arellano M, Cassady KA, Zheng SG, Yang J, Lane AN, Song X, Fan TWM, Wang R. Inosine is an alternative carbon source for CD8 +-T-cell function under glucose restriction. Nat Metab 2020; 2:635-647. [PMID: 32694789 PMCID: PMC7371628 DOI: 10.1038/s42255-020-0219-4] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 04/30/2020] [Indexed: 12/15/2022]
Abstract
T cells undergo metabolic rewiring to meet their bioenergetic, biosynthetic and redox demands following antigen stimulation. To fulfil these needs, effector T cells must adapt to fluctuations in environmental nutrient levels at sites of infection and inflammation. Here, we show that effector T cells can utilize inosine, as an alternative substrate, to support cell growth and function in the absence of glucose in vitro. T cells metabolize inosine into hypoxanthine and phosphorylated ribose by purine nucleoside phosphorylase. We demonstrate that the ribose subunit of inosine can enter into central metabolic pathways to provide ATP and biosynthetic precursors, and that cancer cells display diverse capacities to utilize inosine as a carbon source. Moreover, the supplementation with inosine enhances the anti-tumour efficacy of immune checkpoint blockade and adoptive T-cell transfer in solid tumours that are defective in metabolizing inosine, reflecting the capability of inosine to relieve tumour-imposed metabolic restrictions on T cells.
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Affiliation(s)
- Tingting Wang
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - J N Rashida Gnanaprakasam
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Xuyong Chen
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Siwen Kang
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Xuequn Xu
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Hua Sun
- The Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Lingling Liu
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Hayley Rodgers
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Ethan Miller
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Teresa A Cassel
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Qiushi Sun
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Sara Vicente-Muñoz
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Marc O Warmoes
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Penghui Lin
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Zayda Lizbeth Piedra-Quintero
- School of Health and Rehabilitation Sciences, Division of Medical Laboratory Science, College of Medicine, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | - Mireia Guerau-de-Arellano
- School of Health and Rehabilitation Sciences, Division of Medical Laboratory Science, College of Medicine, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | - Kevin A Cassady
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Song Guo Zheng
- Division of Rheumatology and Immunology, Department of Internal Medicine at Ohio State University of Medicine and Wexner Medical Center, Columbus, OH, USA
| | - Jun Yang
- Department of Surgery, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Andrew N Lane
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Xiaotong Song
- The Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA.
- Icell Kealex Therapeutics, Houston, TX, USA.
| | - Teresa W-M Fan
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology, Markey Cancer Center, University of Kentucky, Lexington, KY, USA.
| | - Ruoning Wang
- Center for Childhood Cancer & Blood Diseases, Hematology/Oncology & BMT, Abigail Wexner Research Institute at Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA.
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8
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Zhong Y, Mohan K, Liu J, Al-Attar A, Lin P, Flight RM, Sun Q, Warmoes MO, Deshpande RR, Liu H, Jung KS, Mitov MI, Lin N, Butterfield DA, Lu S, Liu J, Moseley HNB, Fan TWM, Kleinman ME, Wang QJ. Loss of CLN3, the gene mutated in juvenile neuronal ceroid lipofuscinosis, leads to metabolic impairment and autophagy induction in retinal pigment epithelium. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165883. [PMID: 32592935 DOI: 10.1016/j.bbadis.2020.165883] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 06/08/2020] [Accepted: 06/16/2020] [Indexed: 12/13/2022]
Abstract
Juvenile neuronal ceroid lipofuscinosis (JNCL, aka. juvenile Batten disease or CLN3 disease) is a lysosomal storage disease characterized by progressive blindness, seizures, cognitive and motor failures, and premature death. JNCL is caused by mutations in the Ceroid Lipofuscinosis, Neuronal 3 (CLN3) gene, whose function is unclear. Although traditionally considered a neurodegenerative disease, CLN3 disease displays eye-specific effects: Vision loss not only is often one of the earliest symptoms of JNCL, but also has been reported in non-syndromic CLN3 disease. Here we described the roles of CLN3 protein in maintaining healthy retinal pigment epithelium (RPE) and normal vision. Using electroretinogram, fundoscopy and microscopy, we showed impaired visual function, retinal autofluorescent lesions, and RPE disintegration and metaplasia/hyperplasia in a Cln3 ~ 1 kb-deletion mouse model [1] on C57BL/6J background. Utilizing a combination of biochemical analyses, RNA-Seq, Seahorse XF bioenergetic analysis, and Stable Isotope Resolved Metabolomics (SIRM), we further demonstrated that loss of CLN3 increased autophagic flux, suppressed mTORC1 and Akt activities, enhanced AMPK activity, and up-regulated gene expression of the autophagy-lysosomal system in RPE-1 cells, suggesting autophagy induction. This CLN3 deficiency induced autophagy induction coincided with decreased mitochondrial oxygen consumption, glycolysis, the tricarboxylic acid (TCA) cycle, and ATP production. We also reported for the first time that loss of CLN3 led to glycogen accumulation despite of impaired glycogen synthesis. Our comprehensive analyses shed light on how loss of CLN3 affect autophagy and metabolism. This work suggests possible links among metabolic impairment, autophagy induction and lysosomal storage, as well as between RPE atrophy/degeneration and vision loss in JNCL.
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Affiliation(s)
- Yu Zhong
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Kabhilan Mohan
- Department of Ophthalmology and Visual Sciences, University of Kentucky, Lexington, KY, United States
| | - Jinpeng Liu
- Markey Cancer Center, University of Kentucky, Lexington, KY, United States
| | - Ahmad Al-Attar
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Penghui Lin
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Robert M Flight
- Markey Cancer Center, University of Kentucky, Lexington, KY, United States; Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Qiushi Sun
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Marc O Warmoes
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Rahul R Deshpande
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Huijuan Liu
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Kyung Sik Jung
- Department of Ophthalmology and Visual Sciences, University of Kentucky, Lexington, KY, United States
| | - Mihail I Mitov
- Markey Cancer Center, University of Kentucky, Lexington, KY, United States
| | | | - D Allan Butterfield
- Markey Cancer Center, University of Kentucky, Lexington, KY, United States; Department of Chemistry, University of Kentucky, Lexington, KY, United States
| | - Shuyan Lu
- Pfizer Inc., San Diego, CA, United States
| | - Jinze Liu
- Markey Cancer Center, University of Kentucky, Lexington, KY, United States; Department of Computer Science, University of Kentucky, Lexington, KY, United States; Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States
| | - Hunter N B Moseley
- Markey Cancer Center, University of Kentucky, Lexington, KY, United States; Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States; Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States
| | - Teresa W M Fan
- Markey Cancer Center, University of Kentucky, Lexington, KY, United States; Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY, United States; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY, United States
| | - Mark E Kleinman
- Department of Ophthalmology and Visual Sciences, University of Kentucky, Lexington, KY, United States
| | - Qing Jun Wang
- Department of Ophthalmology and Visual Sciences, University of Kentucky, Lexington, KY, United States; Markey Cancer Center, University of Kentucky, Lexington, KY, United States.
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9
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Sun Y, Bandi M, Lofton T, Smith M, Bristow CA, Carugo A, Rogers N, Leonard P, Chang Q, Mullinax R, Han J, Shi X, Seth S, Meyers BA, Miller M, Miao L, Ma X, Feng N, Giuliani V, Geck Do M, Czako B, Palmer WS, Mseeh F, Asara JM, Jiang Y, Morlacchi P, Zhao S, Peoples M, Tieu TN, Warmoes MO, Lorenzi PL, Muller FL, DePinho RA, Draetta GF, Toniatti C, Jones P, Heffernan TP, Marszalek JR. Functional Genomics Reveals Synthetic Lethality between Phosphogluconate Dehydrogenase and Oxidative Phosphorylation. Cell Rep 2020; 26:469-482.e5. [PMID: 30625329 DOI: 10.1016/j.celrep.2018.12.043] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Revised: 07/19/2018] [Accepted: 12/10/2018] [Indexed: 01/15/2023] Open
Abstract
The plasticity of a preexisting regulatory circuit compromises the effectiveness of targeted therapies, and leveraging genetic vulnerabilities in cancer cells may overcome such adaptations. Hereditary leiomyomatosis renal cell carcinoma (HLRCC) is characterized by oxidative phosphorylation (OXPHOS) deficiency caused by fumarate hydratase (FH) nullizyogosity. To identify metabolic genes that are synthetically lethal with OXPHOS deficiency, we conducted a genetic loss-of-function screen and found that phosphogluconate dehydrogenase (PGD) inhibition robustly blocks the proliferation of FH mutant cancer cells both in vitro and in vivo. Mechanistically, PGD inhibition blocks glycolysis, suppresses reductive carboxylation of glutamine, and increases the NADP+/NADPH ratio to disrupt redox homeostasis. Furthermore, in the OXPHOS-proficient context, blocking OXPHOS using the small-molecule inhibitor IACS-010759 enhances sensitivity to PGD inhibition in vitro and in vivo. Together, our study reveals a dependency on PGD in OXPHOS-deficient tumors that might inform therapeutic intervention in specific patient populations.
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Affiliation(s)
- Yuting Sun
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Madhavi Bandi
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Timothy Lofton
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Melinda Smith
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher A Bristow
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alessandro Carugo
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Norma Rogers
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Paul Leonard
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Qing Chang
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert Mullinax
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jing Han
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xi Shi
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sahil Seth
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Brooke A Meyers
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Meredith Miller
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lili Miao
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiaoyan Ma
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ningping Feng
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Virginia Giuliani
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mary Geck Do
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Barbara Czako
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wylie S Palmer
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Faika Mseeh
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John M Asara
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Cancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Yongying Jiang
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Pietro Morlacchi
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Shuping Zhao
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Michael Peoples
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Trang N Tieu
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Marc O Warmoes
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Philip L Lorenzi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Florian L Muller
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ronald A DePinho
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Giulio F Draetta
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Carlo Toniatti
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Philip Jones
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Timothy P Heffernan
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Joseph R Marszalek
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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10
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Reyes-Caballero H, Rao X, Sun Q, Warmoes MO, Lin P, Sussan TE, Park B, Fan TWM, Maiseyeu A, Rajagopalan S, Girnun GD, Biswal S. Air pollution-derived particulate matter dysregulates hepatic Krebs cycle, glucose and lipid metabolism in mice. Sci Rep 2019; 9:17423. [PMID: 31757983 PMCID: PMC6874681 DOI: 10.1038/s41598-019-53716-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 11/01/2019] [Indexed: 12/12/2022] Open
Abstract
Exposure to ambient air particulate matter (PM2.5) is well established as a risk factor for cardiovascular and pulmonary disease. Both epidemiologic and controlled exposure studies in humans and animals have demonstrated an association between air pollution exposure and metabolic disorders such as diabetes. Given the central role of the liver in peripheral glucose homeostasis, we exposed mice to filtered air or PM2.5 for 16 weeks and examined its effect on hepatic metabolic pathways using stable isotope resolved metabolomics (SIRM) following a bolus of 13C6-glucose. Livers were analyzed for the incorporation of 13C into different metabolic pools by IC-FTMS or GC-MS. The relative abundance of 13C-glycolytic intermediates was reduced, suggesting attenuated glycolysis, a feature found in diabetes. Decreased 13C-Krebs cycle intermediates suggested that PM2.5 exposure led to a reduction in the Krebs cycle capacity. In contrast to decreased glycolysis, we observed an increase in the oxidative branch of the pentose phosphate pathway and 13C incorporations suggestive of enhanced capacity for the de novo synthesis of fatty acids. To our knowledge, this is one of the first studies to examine 13C6-glucose utilization in the liver following PM2.5 exposure, prior to the onset of insulin resistance (IR).
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Affiliation(s)
- Hermes Reyes-Caballero
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615N. Wolfe Street, Baltimore, MD, 21205, USA.
| | - Xiaoquan Rao
- Cardiovascular Research Institute, Case Western Reserve School of Medicine, 11100 Euclid Avenue, Cleveland, OH, 44106, USA
| | - Qiushi Sun
- Department of Toxicology and Cancer Biology, Markey Cancer Center, Center for Environmental and Systems Biochemistry, University of Kentucky, 1095V.A. Drive, Lexington, KY, 40536, USA
| | - Marc O Warmoes
- Department of Toxicology and Cancer Biology, Markey Cancer Center, Center for Environmental and Systems Biochemistry, University of Kentucky, 1095V.A. Drive, Lexington, KY, 40536, USA
| | - Penghui Lin
- Department of Toxicology and Cancer Biology, Markey Cancer Center, Center for Environmental and Systems Biochemistry, University of Kentucky, 1095V.A. Drive, Lexington, KY, 40536, USA
| | - Tom E Sussan
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615N. Wolfe Street, Baltimore, MD, 21205, USA.,Public Health Center, Toxicology Directorate, Aberdeen Proving Ground, Aberdeen, MD, USA
| | - Bongsoo Park
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Teresa W-M Fan
- Department of Toxicology and Cancer Biology, Markey Cancer Center, Center for Environmental and Systems Biochemistry, University of Kentucky, 1095V.A. Drive, Lexington, KY, 40536, USA
| | - Andrei Maiseyeu
- Cardiovascular Research Institute, Case Western Reserve School of Medicine, 11100 Euclid Avenue, Cleveland, OH, 44106, USA
| | - Sanjay Rajagopalan
- Cardiovascular Research Institute, Case Western Reserve School of Medicine, 11100 Euclid Avenue, Cleveland, OH, 44106, USA
| | - Geoffrey D Girnun
- Department of Pharmacological Sciences, Stony Brook University, BST 8-140, Stony Brook, NY, 11794, USA.,Department of Pathology, Stony Brook University School of Medicine, Stony Brook, NY, 11794, USA
| | - Shyam Biswal
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615N. Wolfe Street, Baltimore, MD, 21205, USA.
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11
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Liu X, Cooper DE, Cluntun AA, Warmoes MO, Zhao S, Reid MA, Liu J, Lund PJ, Lopes M, Garcia BA, Wellen KE, Kirsch DG, Locasale JW. Abstract 792: Acetate production from glucose and coupling to mitochondrial metabolism in mammals. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-792] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: In conditions of hyperactive cellular metabolism, excessive cellular nutrient uptake results in incomplete metabolism and excretion of intermediates. These intermediates may serve as unconventional fuel sources satisfy metabolic demands during nutrient scarcity. Interestingly, acetate metabolism provides a parallel pathway for acetyl-CoA production and allows for protein acetylation and lipogenesis independent of citrate conversion to acetyl-CoA. This pathway is important in tumorigenesis, immune alertness, neural plasticity, and other diverse contexts but the origin of acetate has been unclear. Thus, we have conducted a re-evaluation of endogenous acetate generation and the biological relevance.
Method: Cancer cells were cultured in RPMI medium with 13C labelled nutrients in the presence of 18O2. Mouse models of soft tissue sarcoma were generated in a mixed 129/SVJae and C57BL/6 background. A jugular vein catheter was surgically implanted and exteriorized via a vascular access port, which allows infusion of [13C6]-glucose via the venous catheter. Acetate in medium and blood is quantified using [2H3] labelled acetate as the standard after 2-hydrazinoquinoline (HQ) derivatization, and other polar metabolites were directly analyzed after cold methanol extraction. All metabolites were measured using liquid chromatography coupled with high resolution mass spectrometer.
Results: By employing multiple-isotope tracing technology, quantitative proteomics, and mouse genetics tools, we demonstrated that acetate is quantitatively generated from pyruvate, the end product of glycolysis and key node in central carbon metabolism in cancer cells and tumor. One reaction mechanism found to generate acetate occur through altered enzyme activity of thiamine-dependent keto acid dehydrogenases, which transforms their activity to keto acid decarboxylases. The other reaction mechanism to generate acetate occur by reaction with reactive oxygen species (ROS), a finding which potentially links this pathway to numerous physiological and pathophysiological processes. Thiamine starvation and the addition of exogeneous ROS greatly stimulated the ROS contribution to acetate production, which can be used to replenish intracellular acetyl groups. Thus, increased acetate production and release could potentially favor the neighboring cells deficient in cytosolic acetyl-CoA, as demonstrated by co-culturing ACLY KO cells with HCT116 cells.
Conclusion: We have not only provided direct evidence that acetate arises from endogenous metabolism of glucose in mammalian cells, but also identified the regulatory mechanisms, which involve ROS and mitochondrial functions.
Note: This abstract was not presented at the meeting.
Citation Format: Xiaojing Liu, Daniel E. Cooper, Ahmad A. Cluntun, Marc O. Warmoes, Steven Zhao, Michael A. Reid, Juan Liu, Peder J. Lund, Mariana Lopes, Benjamin A. Garcia, Kathryn E. Wellen, David G. Kirsch, Jason W. Locasale. Acetate production from glucose and coupling to mitochondrial metabolism in mammals [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 792.
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Affiliation(s)
| | | | | | | | - Steven Zhao
- 3University of Pennsylvania, Philadelphia, PA
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12
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Liu X, Cooper DE, Cluntun AA, Warmoes MO, Zhao S, Reid MA, Liu J, Lund PJ, Lopes M, Garcia BA, Wellen KE, Kirsch DG, Locasale JW. Acetate Production from Glucose and Coupling to Mitochondrial Metabolism in Mammals. Cell 2018; 175:502-513.e13. [PMID: 30245009 PMCID: PMC6173642 DOI: 10.1016/j.cell.2018.08.040] [Citation(s) in RCA: 213] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 06/22/2018] [Accepted: 08/17/2018] [Indexed: 12/17/2022]
Abstract
Acetate is a major nutrient that supports acetyl-coenzyme A (Ac-CoA) metabolism and thus lipogenesis and protein acetylation. However, its source is unclear. Here, we report that pyruvate, the end product of glycolysis and key node in central carbon metabolism, quantitatively generates acetate in mammals. This phenomenon becomes more pronounced in the context of nutritional excess, such as during hyperactive glucose metabolism. Conversion of pyruvate to acetate occurs through two mechanisms: (1) coupling to reactive oxygen species (ROS) and (2) neomorphic enzyme activity from keto acid dehydrogenases that enable function as pyruvate decarboxylases. Further, we demonstrate that de novo acetate production sustains Ac-CoA pools and cell proliferation in limited metabolic environments, such as during mitochondrial dysfunction or ATP citrate lyase (ACLY) deficiency. By virtue of de novo acetate production being coupled to mitochondrial metabolism, there are numerous possible regulatory mechanisms and links to pathophysiology.
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Affiliation(s)
- Xiaojing Liu
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA
| | - Daniel E Cooper
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
| | - Ahmad A Cluntun
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA
| | - Marc O Warmoes
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA
| | - Steven Zhao
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael A Reid
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA
| | - Juan Liu
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA
| | - Peder J Lund
- Department of Biochemistry and Biophysics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mariana Lopes
- Department of Biochemistry and Biophysics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Benjamin A Garcia
- Department of Biochemistry and Biophysics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kathryn E Wellen
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David G Kirsch
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA; Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
| | - Jason W Locasale
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA.
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13
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Sun RC, Warmoes MO, Yang Y, Deng P, Sun Q, Lane AN, Higashi RM, Fan TWM. Abstract 2502: Liquid diet introduction of tracers into mice for stable isotope-resolved metabolomics (SIRM) investigations. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-2502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Tracer-based mapping of metabolic networks in vivo is a powerful approach for revealing metabolic reprogramming in human cancer. However, current in vivo labeling techniques for model animals face important challenges including insufficient depth of pathway coverage (e.g. inability to detect labeled nucleotides, proteins, and lipids) and stress-related artifacts. Here, we report stress-free administration of 13C6-glucose via liquid diet into mice. 13C enrichment was observed in metabolites of glycolysis, the Krebs cycle, the pentose phosphate pathway, nucleobases, UDP-sugars, as well as macromolecules glycogen, lipids, and proteins from major organs in NSG mice. We have applied the liquid diet method to map the glucose metabolic networks in NSCLC tumors in a patient-derived xenograft (PDX) model. We observed a high enrichment in the metabolites of glycolysis, Krebs cycle, and PPP as well as de novo synthesized nucleotides and amino acids by IC-UHR-FTMS analysis. Lung PDX displayed unexpected metabolic complexity, such as the use of pyruvate to fuel anaplerosis as well as gluconeogenesis. We also found high 13C enrichment in both tumor and plasma glutamine, which implies that glutamine in the PDX tumors largely came from other organs via the blood rather than being synthesized in situ. Our data showed that liquid diet is an effective and noninvasive means for comprehensive analysis of glucose-associated metabolic networks in human tumor xenografts, which can also be extended to SIRM studies with other fuel sources.
Acknowledgements: This work was supported in part by grants: 1R01ES022191-01 (to TWMF and RMH), 1P01CA163223-01A1 (to ANL and TWMF), and 1U24DK097215-01A1 (to RMH, TWMF, and ANL)
R.C. Sun was supported by a T32 training grant to M. Vore (5T32ES007266-25)
Citation Format: Ramon C. Sun, Marc O. Warmoes, Ye Yang, Pan Deng, Qiushi Sun, Andrew N. Lane, Richard M. Higashi, Teresa W-M Fan. Liquid diet introduction of tracers into mice for stable isotope-resolved metabolomics (SIRM) investigations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2502. doi:10.1158/1538-7445.AM2017-2502
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Affiliation(s)
| | | | - Ye Yang
- University of Kentucky, Lexington, KY
| | - Pan Deng
- University of Kentucky, Lexington, KY
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14
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Gerriets VA, Kishton RJ, Johnson MO, Cohen S, Siska PJ, Nichols AG, Warmoes MO, de Cubas AA, MacIver NJ, Locasale JW, Turka LA, Wells AD, Rathmell JC. Foxp3 and Toll-like receptor signaling balance T reg cell anabolic metabolism for suppression. Nat Immunol 2016; 17:1459-1466. [PMID: 27695003 DOI: 10.1038/ni.3577] [Citation(s) in RCA: 357] [Impact Index Per Article: 44.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 09/02/2016] [Indexed: 02/07/2023]
Abstract
CD4+ effector T cells (Teff cells) and regulatory T cells (Treg cells) undergo metabolic reprogramming to support proliferation and immunological function. Although signaling via the lipid kinase PI(3)K (phosphatidylinositol-3-OH kinase), the serine-threonine kinase Akt and the metabolic checkpoint kinase complex mTORC1 induces both expression of the glucose transporter Glut1 and aerobic glycolysis for Teff cell proliferation and inflammatory function, the mechanisms that regulate Treg cell metabolism and function remain unclear. We found that Toll-like receptor (TLR) signals that promote Treg cell proliferation increased PI(3)K-Akt-mTORC1 signaling, glycolysis and expression of Glut1. However, TLR-induced mTORC1 signaling also impaired Treg cell suppressive capacity. Conversely, the transcription factor Foxp3 opposed PI(3)K-Akt-mTORC1 signaling to diminish glycolysis and anabolic metabolism while increasing oxidative and catabolic metabolism. Notably, Glut1 expression was sufficient to increase the number of Treg cells, but it reduced their suppressive capacity and Foxp3 expression. Thus, inflammatory signals and Foxp3 balance mTORC1 signaling and glucose metabolism to control the proliferation and suppressive function of Treg cells.
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Affiliation(s)
- Valerie A Gerriets
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
| | - Rigel J Kishton
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
| | - Marc O Johnson
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA.,Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University, Nashville, Tennessee, USA
| | - Sivan Cohen
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
| | - Peter J Siska
- Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University, Nashville, Tennessee, USA
| | - Amanda G Nichols
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
| | - Marc O Warmoes
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky, USA
| | - Aguirre A de Cubas
- Department of Medicine, Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nancie J MacIver
- Division of Pediatric Endocrinology and Diabetes, Duke University, Durham, North Carolina, USA
| | - Jason W Locasale
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
| | - Laurence A Turka
- Massachusetts General Hospital, Center for Transplantation Sciences, Boston, Massachusetts, USA
| | - Andrew D Wells
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeffrey C Rathmell
- Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University, Nashville, Tennessee, USA
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15
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Reid MA, Lowman XH, Pan M, Tran TQ, Warmoes MO, Ishak Gabra MB, Yang Y, Locasale JW, Kong M. IKKβ promotes metabolic adaptation to glutamine deprivation via phosphorylation and inhibition of PFKFB3. Genes Dev 2016; 30:1837-51. [PMID: 27585591 PMCID: PMC5024682 DOI: 10.1101/gad.287235.116] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 07/28/2016] [Indexed: 02/06/2023]
Abstract
In this study, Reid et al. investigate how cancer cells adapt to low glutamine conditions, which is needed for cancer cell proliferation and survival. They show that IKKβ directly interacts with and phosphorylates PFKFB3, a major driver of aerobic glycolysis, at Ser269 upon glutamine deprivation to inhibit its activity, thereby down-regulating aerobic glycolysis when glutamine levels are low and thus providing new insights into cancer cell adaptation. Glutamine is an essential nutrient for cancer cell survival and proliferation. Enhanced utilization of glutamine often depletes its local supply, yet how cancer cells adapt to low glutamine conditions is largely unknown. Here, we report that IκB kinase β (IKKβ) is activated upon glutamine deprivation and is required for cell survival independently of NF-κB transcription. We demonstrate that IKKβ directly interacts with and phosphorylates 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase isoform 3 (PFKFB3), a major driver of aerobic glycolysis, at Ser269 upon glutamine deprivation to inhibit its activity, thereby down-regulating aerobic glycolysis when glutamine levels are low. Thus, due to lack of inhibition of PFKFB3, IKKβ-deficient cells exhibit elevated aerobic glycolysis and lactate production, leading to less glucose carbons contributing to tricarboxylic acid (TCA) cycle intermediates and the pentose phosphate pathway, which results in increased glutamine dependence for both TCA cycle intermediates and reactive oxygen species suppression. Therefore, coinhibition of IKKβ and glutamine metabolism results in dramatic synergistic killing of cancer cells both in vitro and in vivo. In all, our results uncover a previously unidentified role of IKKβ in regulating glycolysis, sensing low-glutamine-induced metabolic stress, and promoting cellular adaptation to nutrient availability.
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Affiliation(s)
- Michael A Reid
- Department of Cancer Biology, Beckman Research Institute of City of Hope Cancer Center, Duarte, California 91010, USA
| | - Xazmin H Lowman
- Department of Cancer Biology, Beckman Research Institute of City of Hope Cancer Center, Duarte, California 91010, USA
| | - Min Pan
- Department of Cancer Biology, Beckman Research Institute of City of Hope Cancer Center, Duarte, California 91010, USA
| | - Thai Q Tran
- Department of Cancer Biology, Beckman Research Institute of City of Hope Cancer Center, Duarte, California 91010, USA
| | - Marc O Warmoes
- Division of Nutritional Sciences, Cornell University, Ithaca, New York 14853, USA
| | - Mari B Ishak Gabra
- Department of Cancer Biology, Beckman Research Institute of City of Hope Cancer Center, Duarte, California 91010, USA
| | - Ying Yang
- Department of Cancer Biology, Beckman Research Institute of City of Hope Cancer Center, Duarte, California 91010, USA
| | - Jason W Locasale
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina 27708, USA
| | - Mei Kong
- Department of Cancer Biology, Beckman Research Institute of City of Hope Cancer Center, Duarte, California 91010, USA
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16
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Fan TWM, Warmoes MO, Sun Q, Song H, Turchan-Cholewo J, Martin JT, Mahan A, Higashi RM, Lane AN. Distinctly perturbed metabolic networks underlie differential tumor tissue damages induced by immune modulator β-glucan in a two-case ex vivo non-small-cell lung cancer study. Cold Spring Harb Mol Case Stud 2016; 2:a000893. [PMID: 27551682 PMCID: PMC4990809 DOI: 10.1101/mcs.a000893] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Cancer and stromal cell metabolism is important for understanding tumor development, which highly depends on the tumor microenvironment (TME). Cell or animal models cannot recapitulate the human TME. We have developed an ex vivo paired cancerous (CA) and noncancerous (NC) human lung tissue approach to explore cancer and stromal cell metabolism in the native human TME. This approach enabled full control of experimental parameters and acquisition of individual patient's target tissue response to therapeutic agents while eliminating interferences from genetic and physiological variations. In this two-case study of non-small-cell lung cancer, we performed stable isotope-resolved metabolomic (SIRM) experiments on paired CA and NC lung tissues treated with a macrophage activator β-glucan and (13)C6-glucose, followed by ion chromatography-Fourier transform mass spectrometry (IC-FTMS) and nuclear magnetic resonance (NMR) analyses of (13)C-labeling patterns of metabolites. We demonstrated that CA lung tissue slices were metabolically more active than their NC counterparts, which recapitulated the metabolic reprogramming in CA lung tissues observed in vivo. We showed β-glucan-enhanced glycolysis, Krebs cycle, pentose phosphate pathway, antioxidant production, and itaconate buildup in patient UK021 with chronic obstructive pulmonary disease (COPD) and an abundance of tumor-associated macrophages (TAMs) but not in UK049 with no COPD and much less macrophage infiltration. This metabolic response of UK021 tissues was accompanied by reduced mitotic index, increased necrosis, and enhaced inducible nitric oxide synthase (iNOS) expression. We surmise that the reprogrammed networks could reflect β-glucan M1 polarization of human macrophages. This case study presents a unique opportunity for investigating metabolic responses of human macrophages to immune modulators in their native microenvironment on an individual patient basis.
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Affiliation(s)
- Teresa W-M Fan
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Marc O Warmoes
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Qiushi Sun
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Huan Song
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Jadwiga Turchan-Cholewo
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Jeremiah T Martin
- Department of Surgery and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Angela Mahan
- Department of Surgery and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Richard M Higashi
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
| | - Andrew N Lane
- Center for Environmental and Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, University of Kentucky, Lexington, Kentucky 40536, USA
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17
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Kishton RJ, Barnes CE, Nichols AG, Cohen S, Gerriets VA, Siska PJ, Macintyre AN, Goraksha-Hicks P, de Cubas AA, Liu T, Warmoes MO, Abel ED, Yeoh AEJ, Gershon TR, Rathmell WK, Richards KL, Locasale JW, Rathmell JC. AMPK Is Essential to Balance Glycolysis and Mitochondrial Metabolism to Control T-ALL Cell Stress and Survival. Cell Metab 2016; 23:649-62. [PMID: 27076078 PMCID: PMC4832577 DOI: 10.1016/j.cmet.2016.03.008] [Citation(s) in RCA: 177] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 12/23/2015] [Accepted: 03/24/2016] [Indexed: 01/20/2023]
Abstract
T cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy associated with Notch pathway mutations. While both normal activated and leukemic T cells can utilize aerobic glycolysis to support proliferation, it is unclear to what extent these cell populations are metabolically similar and if differences reveal T-ALL vulnerabilities. Here we show that aerobic glycolysis is surprisingly less active in T-ALL cells than proliferating normal T cells and that T-ALL cells are metabolically distinct. Oncogenic Notch promoted glycolysis but also induced metabolic stress that activated 5' AMP-activated kinase (AMPK). Unlike stimulated T cells, AMPK actively restrained aerobic glycolysis in T-ALL cells through inhibition of mTORC1 while promoting oxidative metabolism and mitochondrial Complex I activity. Importantly, AMPK deficiency or inhibition of Complex I led to T-ALL cell death and reduced disease burden. Thus, AMPK simultaneously inhibits anabolic growth signaling and is essential to promote mitochondrial pathways that mitigate metabolic stress and apoptosis in T-ALL.
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Affiliation(s)
- Rigel J Kishton
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Department of Immunology, Duke University, Durham, NC 27710, USA; Duke Molecular Physiology Institute, Duke University, Durham, NC 27710, USA
| | - Carson E Barnes
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA
| | - Amanda G Nichols
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Department of Immunology, Duke University, Durham, NC 27710, USA; Duke Molecular Physiology Institute, Duke University, Durham, NC 27710, USA
| | - Sivan Cohen
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Department of Immunology, Duke University, Durham, NC 27710, USA; Duke Molecular Physiology Institute, Duke University, Durham, NC 27710, USA
| | - Valerie A Gerriets
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA
| | - Peter J Siska
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Department of Immunology, Duke University, Durham, NC 27710, USA; Duke Molecular Physiology Institute, Duke University, Durham, NC 27710, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University, Nashville, TN 37232, USA
| | - Andrew N Macintyre
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA
| | | | - Aguirre A de Cubas
- Division of Hematology/Oncology, Department of Medicine, Vanderbilt Ingram Cancer Center, Vanderbilt University, Nashville, TN 37232, USA
| | - Tingyu Liu
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA
| | - Marc O Warmoes
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA
| | - E Dale Abel
- Department of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Allen Eng Juh Yeoh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 119077, Singapore; Department of Pediatrics, National University Health System, Singapore 119228, Singapore
| | - Timothy R Gershon
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA
| | - W Kimryn Rathmell
- Division of Hematology/Oncology, Department of Medicine, Vanderbilt Ingram Cancer Center, Vanderbilt University, Nashville, TN 37232, USA
| | - Kristy L Richards
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA
| | - Jason W Locasale
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA
| | - Jeffrey C Rathmell
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Department of Immunology, Duke University, Durham, NC 27710, USA; Duke Molecular Physiology Institute, Duke University, Durham, NC 27710, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University, Nashville, TN 37232, USA.
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Abstract
Rapid advances in mass spectrometry have allowed for estimates of absolute concentrations across entire proteomes, permitting the interrogation of many important biological questions. Here, we focus on a quantitative aspect of human cancer cell metabolism that has been limited by a paucity of available data on the abundance of metabolic enzymes. We integrate data from recent measurements of absolute protein concentration to analyze the statistics of protein abundance across the human metabolic network. At a global level, we find that the enzymes in glycolysis comprise approximately half of the total amount of metabolic proteins and can constitute up to 10% of the entire proteome. We then use this analysis to investigate several outstanding problems in cancer metabolism, including the diversion of glycolytic flux for biosynthesis, the relative contribution of nitrogen assimilating pathways, and the origin of cellular redox potential. We find many consistencies with current models, identify several inconsistencies, and find generalities that extend beyond current understanding. Together our results demonstrate that a relatively simple analysis of the abundance of metabolic enzymes was able to reveal many insights into the organization of the human cancer cell metabolic network.
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Affiliation(s)
- Neel S. Madhukar
- Tri-Institutional Program in Computational Biology and Medicine, Cornell University, Ithaca, New York, Weill Cornell Medical College, New York, New York, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, United States of America
| | - Marc O. Warmoes
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, United States of America
| | - Jason W. Locasale
- Tri-Institutional Program in Computational Biology and Medicine, Cornell University, Ithaca, New York, Weill Cornell Medical College, New York, New York, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, United States of America
- * E-mail:
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Warmoes MO, Locasale JW. Heterogeneity of glycolysis in cancers and therapeutic opportunities. Biochem Pharmacol 2014; 92:12-21. [PMID: 25093285 PMCID: PMC4254151 DOI: 10.1016/j.bcp.2014.07.019] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Revised: 07/21/2014] [Accepted: 07/21/2014] [Indexed: 12/19/2022]
Abstract
Upregulated glycolysis, both in normoxic and hypoxic environments, is a nearly universal trait of cancer cells. The enormous difference in glucose metabolism offers a target for therapeutic intervention with a potentially low toxicity profile. The past decade has seen a steep rise in the development and clinical assessment of small molecules that target glycolysis. The enzymes in glycolysis have a highly heterogeneous nature that allows for the different bioenergetic, biosynthetic, and signaling demands needed for various tissue functions. In cancers, these properties enable them to respond to the variable requirements of cell survival, proliferation and adaptation to nutrient availability. Heterogeneity in glycolysis occurs through the expression of different isoforms, posttranslational modifications that affect the kinetic and regulatory properties of the enzyme. In this review, we will explore this vast heterogeneity of glycolysis and discuss how this information might be exploited to better target glucose metabolism and offer possibilities for biomarker development.
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Affiliation(s)
- Marc O Warmoes
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States
| | - Jason W Locasale
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
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20
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Abstract
Cancer cells adapt their metabolism to support proliferation and survival. A hallmark of cancer, this alteration is characterized by dysfunctional metabolic enzymes, changes in nutrient availability, tumor microenvironment and oncogenic mutations. Metabolic rewiring in cancer is tightly connected to changes at the epigenetic level. Enzymes that mediate epigenetic status of cells catalyze posttranslational modifications of DNA and histones and influence metabolic gene expression. These enzymes require metabolites that are used as cofactors and substrates to carry out reactions. This interaction of epigenetics and metabolism constitutes a new avenue of cancer biology and could lead to new insights for the development of anti-cancer therapeutics.
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Affiliation(s)
- Christelle Johnson
- Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States
| | - Marc O Warmoes
- Systems Bioinformatics/AIMMS, Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands; Department of Medical Oncology, OncoProteomics Laboratory, VU University Medical Center, Amsterdam, The Netherlands
| | - Xiling Shen
- Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States
| | - Jason W Locasale
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
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21
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Piersma SR, Warmoes MO, de Wit M, de Reus I, Knol JC, Jiménez CR. Whole gel processing procedure for GeLC-MS/MS based proteomics. Proteome Sci 2013; 11:17. [PMID: 23617947 PMCID: PMC3656797 DOI: 10.1186/1477-5956-11-17] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Accepted: 04/11/2013] [Indexed: 12/24/2022] Open
Abstract
Background SDS-PAGE followed by in-gel digestion (IGD) is a popular workflow in mass spectrometry-based proteomics. In GeLC-MS/MS, a protein lysate of a biological sample is separated by SDS-PAGE and each gel lane is sliced in 5–20 slices which, after IGD, are analyzed by LC-MS/MS. The database search results for all slices of a biological sample are combined yielding global protein identification and quantification for each sample. In large scale GeLC-MS/MS experiments the manual processing steps including washing, reduction and alkylation become a bottleneck. Here we introduce the whole gel (WG) procedure where, prior to gel slice cutting, the processing steps are carried out on the whole gel. Results In two independent experiments human HCT116 cell lysate and mouse tumor tissue lysate were separated by 1D SDS PAGE. In a back to back comparison of the IGD procedure and the WG procedure, both protein identification (>80% overlap) and label-free protein quantitation (R2=0.94) are highly similar between procedures. Triplicate analysis of the WG procedure of both HCT116 cell lysate and formalin-fixed paraffin embedded (FFPE) tumor tissue showed identification reproducibility of >88% with a CV<20% on protein quantitation. Conclusions The whole gel procedure allows for reproducible large-scale differential GeLC-MS/MS experiments, without a prohibitive amount of manual processing and with similar performance as conventional in-gel digestion. This procedure will especially enable clinical proteomics for which GeLC-MS/MS is a popular workflow and sample numbers are relatively high.
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Affiliation(s)
- Sander R Piersma
- Department of Medical Oncology, OncoProteomics Laboratory, VU University Medical Center, Amsterdam, The Netherlands.
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22
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Fijneman RJA, de Wit M, Pourghiasian M, Piersma SR, Pham TV, Warmoes MO, Lavaei M, Piso C, Smit F, Delis-van Diemen PM, van Turenhout ST, Terhaar sive Droste JS, Mulder CJJ, Blankenstein MA, Robanus-Maandag EC, Smits R, Fodde R, van Hinsbergh VWM, Meijer GA, Jimenez CR. Proximal fluid proteome profiling of mouse colon tumors reveals biomarkers for early diagnosis of human colorectal cancer. Clin Cancer Res 2012; 18:2613-24. [PMID: 22351690 DOI: 10.1158/1078-0432.ccr-11-1937] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE Early detection of colorectal cancer (CRC) and its precursor lesions is an effective approach to reduce CRC mortality rates. This study aimed to identify novel protein biomarkers for the early diagnosis of CRC. EXPERIMENTAL DESIGN Proximal fluids are a rich source of candidate biomarkers as they contain high concentrations of tissue-derived proteins. The FabplCre;Apc(15lox/+) mouse model represents early-stage development of human sporadic CRC. Proximal fluids were collected from normal colon and colon tumors and subjected to in-depth proteome profiling by tandem mass spectrometry. Carcinoembryonic antigen (CEA) and CHI3L1 human serum protein levels were determined by ELISA. RESULTS Of the 2,172 proteins identified, quantitative comparison revealed 192 proteins that were significantly (P < 0.05) and abundantly (>5-fold) more excreted by tumors than by controls. Further selection for biomarkers with highest specificity and sensitivity yielded 52 candidates, including S100A9, MCM4, and four other proteins that have been proposed as candidate biomarkers for human CRC screening or surveillance, supporting the validity of our approach. For CHI3L1, we verified that protein levels were significantly increased in sera from patients with adenomas and advanced adenomas compared with control individuals, in contrast to the CRC biomarker CEA. CONCLUSION These data show that proximal fluid proteome profiling with a mouse tumor model is a powerful approach to identify candidate biomarkers for early diagnosis of human cancer, exemplified by increased CHI3L1 protein levels in sera from patients with CRC precursor lesions.
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Affiliation(s)
- Remond J A Fijneman
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
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23
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Warmoes MO, Jaspers J, Massink MP, Pham T, Piersma SR, Rottenberg S, Boven E, Meijers-Heijboer H, Waisfisz Q, Jonkers J, Jimenez CR. Abstract 5109: Proteomics of murine BRCA1 deficient breast tumors identifies DNA repair proteins with prognostic value in human breast cancer. Cancer Res 2011. [DOI: 10.1158/1538-7445.am2011-5109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Breast cancer is the most common malignancy in women in the western world. The outcome of breast cancer would be strongly improved if patients could be diagnosed and treated early. This especially holds for patients with hereditary breast cancer.
Aim: Our aim is to identify proteins that are associated with BRCA1 deficient hereditary breast cancer. These proteins could have potential use as screening, prognostic or predictive biomarkers.
Approach: In-depth proteome profiling of tumor tissues of mouse breast cancer models was employed to identify BRCA1-associated proteins. To this end, tumor tissue lysates of five BRCA1 deficient and five proficient mouse models (Liu et al., 2007) were fractionated using SDS-PAGE followed by tryptic in-gel digestion, nanoLC-MS/MS and database searching. Normalized spectral counting was used for protein quantification and beta binomial statistics to discover significantly regulated proteins. Ingenuity Pathway Analysis and COFECO protein complex analysis was used to support data interpretation. The prognostic power was assessed by the use of publicly available gene expression human breast cancer data sets.
Results: We identified a total of 3614 proteins, of which 804 were differential between the genomic instable BRCA1-deficient and the genomic stable BRCA1-proficient breast tumors. Pathway analysis and protein complex identified DNA-repair and associated function like chromatin modeling and RNA processing as the major functions associated with the upregulated proteins of the BRCA1 deficient tumors. We created a core DNA-repair protein signature using pathway and protein Complex analysis. When the signature proteins were mapped to human breast cancer gene-expression data sets, they were shown to have prognostic power.
Conclusion: Proteomics of genetic mouse models for familial breast cancer is a powerful strategy to discover novel candidate BRCA1 deficiency proteins with human relevance. The major upregulation of DNA-repair complexes may indicate a compensatory mechanism for loss of BRCA1 DNA-repair. Further validation studies are required to investigate prognostic candidates in tissue microarrays. Integration with data on tumor and cancer cell-secreted proteins will pinpoint which of the BRCA1 deficiency associated proteins may have potential for screening of BRCA1 tumors and whether they have predictive value for sensitivity to PARP1 inhibition and Cisplatin treatment in BRCA1 as well as non-BRCA1-deficient tumors.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 5109. doi:10.1158/1538-7445.AM2011-5109
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Affiliation(s)
| | | | | | - Thang Pham
- 1VU University Medical Center, Amsterdam, Netherlands
| | | | | | - Epie Boven
- 1VU University Medical Center, Amsterdam, Netherlands
| | | | | | - Jos Jonkers
- 2The Netherlands Cancer Institute, Amsterdam, Netherlands
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Warmoes MO, Jaspers J, Massink MP, Pham TV, Piersma SR, Boven E, Meijer-Heijboer H, Waisfisz Q, Jonkers J, Jimenez CR. Abstract 4563: Quantitative proteomics of genetic mouse models for human breast cancer: Identification of BRCA1-associated proteins involved in DNA-repair. Cancer Res 2010. [DOI: 10.1158/1538-7445.am10-4563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Breast cancer is the most common malignancy in women in the western world. The outcome of breast cancer would be strongly improved if patients could be diagnosed and treated early. This especially holds for patients with hereditary breast cancer.
Aim: The aim of this study is to identify novel protein biomarkers for early diagnosis of BRCA1 deficient breast cancer and for drug sensitivity.
Approach: We used in-depth proteome profiling of tumor tissues of mouse breast cancer models to identify BRCA1-associated proteins. To this end, we analyzed tumor tissue lysates of three genetic mouse models: 1.the Brca1−/−;p53−/− mouse that develops breast tumors with histopathological and molecular features of BRCA1−/− basal-like breast cancers (N=6), 2. the ECAD−/−;p53−/− mouse with metastasizing mammary tumors resembling human invasive lobular cancer (N=3) and 3. the p53−/− mouse that develops diverse mammary tumors (N=3). Total tumor tissue lysates were fractionated using SDS-PAGE followed by tryptic in-gel digestion, nanoLC-MS/MS and database searching. Normalized spectral counting was used for protein quantification and beta binomial statistics to discover significantly regulated proteins. Ingenuity Pathway Analysis (IPA) was used to support data interpretation.
Results: The total dataset contained 3836 identified proteins of which 804 were significantly regulated between the BRCA1 deficient and proficient groups (p<0.05), with over 500 proteins up-regulated in the BRCA1 deficient tumors, including proteins previously implicated in BRCA1 breast cancer. Pathway analysis revealed that many up-regulated proteins were involved in DNA-repair. Integration with breast cancer cell line secretome data indicated the non-invasive biomarker potential for a large subset of candidates. Integration with transcriptomics data obtained for a series of human genetic and sporadic breast cancer tissues indicated a large overlap of BRCA1 protein and RNA candidates. Moreover, the BRCA1-associated mouse proteins could almost perfectly classify human basal BRCA1 tumors. Currently, selected candidates are being followed up using immunohistochemical staining of a set of human BRCA1 deficient and sporadic tumors.
Conclusion: We conclude that proteomics of genetic mouse models for genetic breast cancer is a powerful strategy to discover novel candidate BRCA1 DNA-repair-deficiency proteins with human relevance. Further validation studies are required to investigate whether these candidates are robust biomarkers for early detection of BRCA1 tumors and whether they are also indicative for sensitivity to PARP inhibition in non-BRCA1-deficient-tumors.
Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4563.
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Affiliation(s)
| | | | | | - Thang V. Pham
- 1VU University Medical Center, Amsterdam, Netherlands
| | | | - Epie Boven
- 1VU University Medical Center, Amsterdam, Netherlands
| | | | | | - Jos Jonkers
- 2Netherlands Cancer Institute, Amsterdam, Netherlands
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van Laar RK, Ma XJ, de Jong D, Wehkamp D, Floore AN, Warmoes MO, Simon I, Wang W, Erlander M, van't Veer LJ, Glas AM. Implementation of a novel microarray-based diagnostic test for cancer of unknown primary. Int J Cancer 2009; 125:1390-7. [DOI: 10.1002/ijc.24504] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Horlings HM, van Laar RK, Kerst JM, Helgason HH, Wesseling J, van der Hoeven JJ, Warmoes MO, Floore A, Witteveen A, Lahti-Domenici J, Glas AM, Van't Veer LJ, de Jong D. Gene Expression Profiling to Identify the Histogenetic Origin of Metastatic Adenocarcinomas of Unknown Primary. J Clin Oncol 2008; 26:4435-41. [DOI: 10.1200/jco.2007.14.6969] [Citation(s) in RCA: 152] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose Patients with adenocarcinoma of unknown primary origin (ACUP) constitute approximately 4% of all malignancies. For effective treatment of these patients, it is considered optimal to identify the primary tumor origins. Currently, the success rate of the diagnostic work-up is only 20% to 30%. Our goal was to evaluate the contribution of gene expression profiling for routine clinical practice in patients with ACUP. Patients and Methods Formalin-fixed, paraffin-embedded (FFPE) samples were obtained from 84 patients with a known primary adenocarcinoma and from 38 patients with ACUP. An extensive immunohistochemical panel classified 16 of the patients with ACUP, whereas 22 patients remained unclassified for their histogenetic origin. Information about staging procedures and clinical follow-up were available in all patient cases. The expression data were analyzed in relation to clinicopathologic variables and immunohistochemical results. Results The gene expression–based assay classified the primary site correctly in 70 (83%) of 84 patient cases of primary and metastatic tumors of known origin, with good sensitivity for the majority of the tumor classes and relatively poor sensitivity for primary lung adenocarcinoma. Gene expression profiling identified 15 (94%) of 16 patients with initial ACUP who were classified by immunohistochemistry, and it made a valuable contribution to a potential site of origin in 14 of the 22 patients with ACUP. Conclusion The gene expression platform can classify correctly from FFPE samples the majority of tumors classes both in patients with known primary and in patients with ACUP. Therefore, gene expression profiling represents an additional analytic approach to assist with the histogenetic diagnosis of patients with ACUP.
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Affiliation(s)
- Hugo M. Horlings
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Ryan K. van Laar
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Jan-Martijn Kerst
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Helgi H. Helgason
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Jelle Wesseling
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Jacobus J.M. van der Hoeven
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Marc O. Warmoes
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Arno Floore
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Anke Witteveen
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Jaana Lahti-Domenici
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Annuska M. Glas
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Laura J. Van't Veer
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
| | - Daphne de Jong
- From the Divisions of Pathology and Medical Oncology, the Netherlands Cancer Institute; Agendia BV, Amsterdam Science Park, Amsterdam; and Department of Medical Oncology, Medical Centre Alkmaar, Alkmaar, the Netherlands
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27
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Glas AM, Floore A, Delahaye LJMJ, Witteveen AT, Pover RCF, Bakx N, Lahti-Domenici JST, Bruinsma TJ, Warmoes MO, Bernards R, Wessels LFA, Van 't Veer LJ. Converting a breast cancer microarray signature into a high-throughput diagnostic test. BMC Genomics 2006; 7:278. [PMID: 17074082 PMCID: PMC1636049 DOI: 10.1186/1471-2164-7-278] [Citation(s) in RCA: 381] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2006] [Accepted: 10/30/2006] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND A 70-gene tumor expression profile was established as a powerful predictor of disease outcome in young breast cancer patients. This profile, however, was generated on microarrays containing 25,000 60-mer oligonucleotides that are not designed for processing of many samples on a routine basis. RESULTS To facilitate its use in a diagnostic setting, the 70-gene prognosis profile was translated into a customized microarray (MammaPrint) containing a reduced set of 1,900 probes suitable for high throughput processing. RNA of 162 patient samples from two previous studies was subjected to hybridization to this custom array to validate the prognostic value. Classification results obtained from the original analysis were then compared to those generated using the algorithms based on the custom microarray and showed an extremely high correlation of prognosis prediction between the original data and those generated using the custom mini-array (p < 0.0001). CONCLUSION In this report we demonstrate for the first time that microarray technology can be used as a reliable diagnostic tool. The data clearly demonstrate the reproducibility and robustness of the small custom-made microarray. The array is therefore an excellent tool to predict outcome of disease in breast cancer patients.
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Affiliation(s)
- Annuska M Glas
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - Arno Floore
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - Leonie JMJ Delahaye
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - Anke T Witteveen
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - Rob CF Pover
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - Niels Bakx
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | | | - Tako J Bruinsma
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - Marc O Warmoes
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - René Bernards
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
| | - Lodewyk FA Wessels
- Netherlands Cancer Institute, department of Molecular Biology, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Laura J Van 't Veer
- Agendia BV, Slotervaart Medical Center 9D, Louwesweg 6, 1066 EC Amsterdam, The Netherlands
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