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Varzieva VG, Mesonzhnik NV, Ilgisonis IS, Belenkov YN, Kozhevnikova MV, Appolonova SA. Metabolomic biomarkers of multiple myeloma: A systematic review. Biochim Biophys Acta Rev Cancer 2024; 1879:189151. [PMID: 38986721 DOI: 10.1016/j.bbcan.2024.189151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 07/03/2024] [Indexed: 07/12/2024]
Abstract
Multiple myeloma (MM) is an incurable malignancy of clonal plasma cells. Various diagnostic methods are used in parallel to accurately determine stage and severity of the disease. Identifying a biomarker or a panel of biomarkers could enhance the quality of medical care that patients receive by adopting a more personalized approach. Metabolomics utilizes high-throughput analytical platforms to examine the levels and quantities of biochemical compounds in biosamples. The aim of this review was to conduct a systematic literature search for potential metabolic biomarkers that may aid in the diagnosis and prognosis of MM. The review was conducted in accordance with PRISMA recommendations and was registered in PROSPERO. The systematic search was performed in PubMed, CINAHL, SciFinder, Scopus, The Cochrane Library and Google Scholar. Studies were limited to those involving people with clinically diagnosed MM and healthy controls as comparators. Articles had to be published in English and had no restrictions on publication date or sample type. The quality of articles was assessed according to QUADOMICS criteria. A total of 709 articles were collected during the literature search. Of these, 436 were excluded based on their abstract, with 26 more removed after a thorough review of the full text. Finally, 16 articles were deemed relevant and were subjected to further analysis of their data. A number of promising candidate biomarkers was discovered. Follow-up studies with large sample sizes are needed to determine their suitability for clinical applications.
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Affiliation(s)
- Valeria G Varzieva
- Department of Pharmacology, Sechenov First Moscow State Medical University (Sechenov University), Vernadskogo pr., 96, 119571 Moscow, Russia; Centre of Biopharmaceutical Analysis and Metabolomics, Institute of Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University (Sechenov University), Nakhimovsky pr., 45, 117418 Moscow, Russia.
| | - Natalia V Mesonzhnik
- Centre of Biopharmaceutical Analysis and Metabolomics, Institute of Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University (Sechenov University), Nakhimovsky pr., 45, 117418 Moscow, Russia.
| | - Irina S Ilgisonis
- Hospital Therapy No. 1 Department, Sechenov First Moscow State Medical University (Sechenov University), Bol'shaya Pirogovskaya st. 6/1, 119435 Moscow, Russia
| | - Yuri N Belenkov
- Hospital Therapy No. 1 Department, Sechenov First Moscow State Medical University (Sechenov University), Bol'shaya Pirogovskaya st. 6/1, 119435 Moscow, Russia
| | - Maria V Kozhevnikova
- Hospital Therapy No. 1 Department, Sechenov First Moscow State Medical University (Sechenov University), Bol'shaya Pirogovskaya st. 6/1, 119435 Moscow, Russia
| | - Svetlana A Appolonova
- Department of Pharmacology, Sechenov First Moscow State Medical University (Sechenov University), Vernadskogo pr., 96, 119571 Moscow, Russia; Centre of Biopharmaceutical Analysis and Metabolomics, Institute of Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University (Sechenov University), Nakhimovsky pr., 45, 117418 Moscow, Russia
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Lee DJ, O'Donnell EK, Raje N, Panaroni C, Redd R, Ligibel J, Sears DD, Nadeem O, Ghobrial IM, Marinac CR. Design and Rationale of Prolonged Nightly Fasting for Multiple Myeloma Prevention (PROFAST): Protocol for a Randomized Controlled Pilot Trial. JMIR Res Protoc 2024; 13:e51368. [PMID: 38466984 DOI: 10.2196/51368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/17/2023] [Accepted: 11/23/2023] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Obesity is an established, modifiable risk factor of multiple myeloma (MM); yet, no lifestyle interventions are routinely recommended for patients with overweight or obesity with MM precursor conditions. Prolonged nightly fasting is a simple, practical dietary regimen supported by research, suggesting that the synchronization of feeding-fasting timing with sleep-wake cycles favorably affects metabolic pathways implicated in MM. We describe the design and rationale of a randomized controlled pilot trial evaluating the efficacy of a regular, prolonged nighttime fasting schedule among individuals with overweight or obesity at high risk for developing MM or a related lymphoid malignancy. OBJECTIVE We aim to investigate the effects of 4-month prolonged nightly fasting on body composition and tumor biomarkers among individuals with overweight or obesity with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or smoldering Waldenström macroglobulinemia (SWM). METHODS Individuals with MGUS, SMM, or SWM aged ≥18 years and a BMI of ≥25 kg/m2 are randomized to either a 14-hour nighttime fasting intervention or a healthy lifestyle education control group. Participants' baseline diet and lifestyle patterns are characterized through two 24-hour dietary recalls: questionnaires querying demographic, comorbidity, lifestyle, and quality-of-life information; and wrist actigraphy measurements for 7 days. Fasting intervention participants are supported through one-on-one telephone counseling by a health coach and automated SMS text messaging to support fasting goals. Primary end points of body composition, including visceral and subcutaneous fat (by dual-energy x-ray absorptiometry); bone marrow adiposity (by bone marrow histology); and tumor biomarkers, specifically M-proteins and serum free light-chain concentrations (by gel-based and serum free light-chain assays), are assessed at baseline and after the 4-month study period; changes therein from baseline are evaluated using a repeated measures mixed-effects model that accounts for the correlation between baseline and follow-up measures and is generally robust to missing data. Feasibility is assessed as participant retention (percent dropout in each arm) and percentage of days participants achieved a ≥14-hour fast. RESULTS The PROlonged nightly FASTing (PROFAST) study was funded in June 2022. Participant recruitment commenced in April 2023. As of July 2023, six participants consented to the study. The study is expected to be completed by April 2024, and data analysis and results are expected to be published in the first quarter of 2025. CONCLUSIONS PROFAST serves as an important first step in exploring the premise that prolonged nightly fasting is a strategy to control obesity and obesity-related mechanisms of myelomagenesis. In evaluating the feasibility and impact of prolonged nightly fasting on body composition, bone marrow adipose tissue, and biomarkers of tumor burden, this pilot study may generate hypotheses regarding metabolic mechanisms underlying MM development and ultimately inform clinical and public health strategies for MM prevention. TRIAL REGISTRATION ClinicalTrials.gov NCT05565638; http://clinicaltrials.gov/ct2/show/NCT05565638. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/51368.
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Affiliation(s)
- David J Lee
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Elizabeth K O'Donnell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Noopur Raje
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Cristina Panaroni
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Robert Redd
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Jennifer Ligibel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Dorothy D Sears
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States
| | - Omar Nadeem
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Catherine R Marinac
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, United States
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Gong L, Qiu L, Hao M. Novel Insights into the Initiation, Evolution, and Progression of Multiple Myeloma by Multi-Omics Investigation. Cancers (Basel) 2024; 16:498. [PMID: 38339250 PMCID: PMC10854875 DOI: 10.3390/cancers16030498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/08/2024] [Accepted: 01/15/2024] [Indexed: 02/12/2024] Open
Abstract
The evolutionary history of multiple myeloma (MM) includes malignant transformation, followed by progression to pre-malignant stages and overt malignancy, ultimately leading to more aggressive and resistant forms. Over the past decade, large effort has been made to identify the potential therapeutic targets in MM. However, MM remains largely incurable. Most patients experience multiple relapses and inevitably become refractory to treatment. Tumor-initiating cell populations are the postulated population, leading to the recurrent relapses in many hematological malignancies. Clonal evolution of tumor cells in MM has been identified along with the disease progression. As a consequence of different responses to the treatment of heterogeneous MM cell clones, the more aggressive populations survive and evolve. In addition, the tumor microenvironment is a complex ecosystem which plays multifaceted roles in supporting tumor cell evolution. Emerging multi-omics research at single-cell resolution permits an integrative and comprehensive profiling of the tumor cells and microenvironment, deepening the understanding of biological features of MM. In this review, we intend to discuss the novel insights into tumor cell initiation, clonal evolution, drug resistance, and tumor microenvironment in MM, as revealed by emerging multi-omics investigations. These data suggest a promising strategy to unravel the pivotal mechanisms of MM progression and enable the improvement in treatment, both holistically and precisely.
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Affiliation(s)
- Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, China
- Gobroad Healthcare Group, Beijing 100072, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, China
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Torcasio R, Gallo Cantafio ME, Ikeda RK, Ganino L, Viglietto G, Amodio N. Lipid metabolic vulnerabilities of multiple myeloma. Clin Exp Med 2023; 23:3373-3390. [PMID: 37639069 PMCID: PMC10618328 DOI: 10.1007/s10238-023-01174-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 08/15/2023] [Indexed: 08/29/2023]
Abstract
Multiple myeloma (MM) is the second most common hematological malignancy worldwide, characterized by abnormal proliferation of malignant plasma cells within a tumor-permissive bone marrow microenvironment. Metabolic dysfunctions are emerging as key determinants in the pathobiology of MM. In this review, we highlight the metabolic features of MM, showing how alterations in various lipid pathways, mainly involving fatty acids, cholesterol and sphingolipids, affect the growth, survival and drug responsiveness of MM cells, as well as their cross-talk with other cellular components of the tumor microenvironment. These findings will provide a new path to understanding the mechanisms underlying how lipid vulnerabilities may arise and affect the phenotype of malignant plasma cells, highlighting novel druggable pathways with a significant impact on the management of MM.
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Affiliation(s)
- Roberta Torcasio
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Viale Europa, Campus Germaneto, 88100, Catanzaro, Italy
- Department of Biology, Ecology and Heart Sciences, University of Calabria, Arcavacata Di Rende, Cosenza, Italy
| | - Maria Eugenia Gallo Cantafio
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Viale Europa, Campus Germaneto, 88100, Catanzaro, Italy
| | - Raissa Kaori Ikeda
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Viale Europa, Campus Germaneto, 88100, Catanzaro, Italy
- Centro Universitário São Camilo, São Paulo, Brazil
| | - Ludovica Ganino
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Viale Europa, Campus Germaneto, 88100, Catanzaro, Italy
| | - Giuseppe Viglietto
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Viale Europa, Campus Germaneto, 88100, Catanzaro, Italy
| | - Nicola Amodio
- Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Viale Europa, Campus Germaneto, 88100, Catanzaro, Italy.
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5
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Gudgeon N, Giles H, Bishop EL, Fulton-Ward T, Escribano-Gonzalez C, Munford H, James-Bott A, Foster K, Karim F, Jayawardana D, Mahmood A, Cribbs AP, Tennant DA, Basu S, Pratt G, Dimeloe S. Uptake of long-chain fatty acids from the bone marrow suppresses CD8+ T-cell metabolism and function in multiple myeloma. Blood Adv 2023; 7:6035-6047. [PMID: 37276076 PMCID: PMC10582277 DOI: 10.1182/bloodadvances.2023009890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/25/2023] [Accepted: 05/19/2023] [Indexed: 06/07/2023] Open
Abstract
T cells demonstrate impaired function in multiple myeloma (MM) but suppressive mechanisms in the bone marrow microenvironment remain poorly defined. We observe that bone marrow CD8+ T-cell function is decreased in MM compared with controls, and is also consistently lower within bone marrow samples than in matched peripheral blood samples. These changes are accompanied by decreased mitochondrial mass and markedly elevated long-chain fatty acid uptake. In vitro modeling confirmed that uptake of bone marrow lipids suppresses CD8+ T function, which is impaired in autologous bone marrow plasma but rescued by lipid removal. Analysis of single-cell RNA-sequencing data identified expression of fatty acid transport protein 1 (FATP1) in bone marrow CD8+ T cells in MM, and FATP1 blockade also rescued CD8+ T-cell function, thereby identifying this as a novel target to augment T-cell activity in MM. Finally, analysis of samples from cohorts of patients who had received treatment identified that CD8+ T-cell metabolic dysfunction resolves in patients with MM who are responsive to treatment but not in patients with relapsed MM, and is associated with substantial T-cell functional restoration.
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Affiliation(s)
- Nancy Gudgeon
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Hannah Giles
- Centre for Clinical Haematology, University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Emma L. Bishop
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Taylor Fulton-Ward
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Cristina Escribano-Gonzalez
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Haydn Munford
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Anna James-Bott
- Nuffield Department of Orthopaedics, Botnar Research Centre, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit, University of Oxford, Oxford, United Kingdom
| | - Kane Foster
- Research Department of Haematology, UCL Cancer Institute, University College London, London, United Kingdom
| | - Farheen Karim
- Clinical Haematology Unit, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, United Kingdom
| | - Dedunu Jayawardana
- Clinical Haematology Unit, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, United Kingdom
| | - Ansar Mahmood
- Centre for Clinical Haematology, University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Adam P. Cribbs
- Nuffield Department of Orthopaedics, Botnar Research Centre, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit, University of Oxford, Oxford, United Kingdom
| | - Daniel A. Tennant
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Supratik Basu
- Clinical Haematology Unit, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, United Kingdom
| | - Guy Pratt
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
- Centre for Clinical Haematology, University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Sarah Dimeloe
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
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Chong PSY, Chooi JY, Lim JSL, Leow ACY, Toh SHM, Azaman I, Koh MY, Teoh PJ, Tan TZ, Chung TH, Chng WJ. Histone Methyltransferase NSD2 Activates PKCα to Drive Metabolic Reprogramming and Lenalidomide Resistance in Multiple Myeloma. Cancer Res 2023; 83:3414-3427. [PMID: 37463241 DOI: 10.1158/0008-5472.can-22-3481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/07/2023] [Accepted: 07/14/2023] [Indexed: 07/20/2023]
Abstract
Multiple myeloma cells undergo metabolic reprogramming in response to the hypoxic and nutrient-deprived bone marrow microenvironment. Primary oncogenes in recurrent translocations might be able to drive metabolic heterogeneity to survive the microenvironment that can present new vulnerabilities for therapeutic targeting. t(4;14) translocation leads to the universal overexpression of histone methyltransferase NSD2 that promotes plasma cell transformation through a global increase in H3K36me2. Here, we identified PKCα as an epigenetic target that contributes to the oncogenic potential of NSD2. RNA sequencing of t(4;14) multiple myeloma cell lines revealed a significant enrichment in the regulation of metabolic processes by PKCα, and the glycolytic gene, hexokinase 2 (HK2), was transcriptionally regulated by PKCα in a PI3K/Akt-dependent manner. Loss of PKCα displaced mitochondria-bound HK2 and reversed sensitivity to the glycolytic inhibitor 3-bromopyruvate. In addition, the perturbation of glycolytic flux led to a metabolic shift to a less energetic state and decreased ATP production. Metabolomics analysis indicated lactate as a differential metabolite associated with PKCα. As a result, PKCα conferred resistance to the immunomodulatory drugs (IMiD) lenalidomide in a cereblon-independent manner and could be phenocopied by either overexpression of HK2 or direct supplementation of lactate. Clinically, t(4;14) patients had elevated plasma lactate levels and did not benefit from lenalidomide-based regimens. Altogether, this study provides insights into the epigenetic-metabolism cross-talk in multiple myeloma and highlights the opportunity for therapeutic intervention that leverages the distinct metabolic program in t(4;14) myeloma. SIGNIFICANCE Aberrant glycolysis driven by NSD2-mediated upregulation of PKCα can be therapeutically exploited using metabolic inhibitors with lactate as a biomarker to identify high-risk patients who exhibit poor response towards IMiD-based regimens.
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Affiliation(s)
- Phyllis S Y Chong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Jing-Yuan Chooi
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Julia S L Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Aaron C Y Leow
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Sabrina Hui Min Toh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Irfan Azaman
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Mun Yee Koh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Phaik Ju Teoh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Tuan Zea Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Tae-Hoon Chung
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Wee Joo Chng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
- Department of Hematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore
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Pedersen S, Mikkelstrup MF, Kristensen SR, Anwardeen NR, Elrayess MA, Andreassen T. Serum NMR-Based Metabolomics Profiling Identifies Lipoprotein Subfraction Variables and Amino Acid Reshuffling in Myeloma Development and Progression. Int J Mol Sci 2023; 24:12275. [PMID: 37569650 PMCID: PMC10419104 DOI: 10.3390/ijms241512275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 08/13/2023] Open
Abstract
Multiple myeloma (MM) is an incurable hematological cancer. It is preceded by monoclonal gammopathy of uncertain significance (MGUS)-an asymptomatic phase. It has been demonstrated that early detection increases the 5-year survival rate. However, blood-based biomarkers that enable early disease detection are lacking. Metabolomic and lipoprotein subfraction variable profiling is gaining traction to expand our understanding of disease states and, more specifically, for identifying diagnostic markers in patients with hematological cancers. This study aims to enhance our understanding of multiple myeloma (MM) and identify candidate metabolites, allowing for a more effective preventative treatment. Serum was collected from 25 healthy controls, 20 patients with MGUS, and 30 patients with MM. 1H-NMR (Nuclear Magnetic Resonance) spectroscopy was utilized to evaluate serum samples. The metabolite concentrations were examined using multivariate, univariate, and pathway analysis. Metabolic profiles of the MGUS patients revealed lower levels of alanine, lysine, leucine but higher levels of formic acid when compared to controls. However, metabolic profiling of MM patients, compared to controls, exhibited decreased levels of total Apolipoprotein-A1, HDL-4 Apolipoprotein-A1, HDL-4 Apolipoprotein-A2, HDL Free Cholesterol, HDL-3 Cholesterol and HDL-4 Cholesterol. Lastly, metabolic comparison between MGUS to MM patients primarily indicated alterations in lipoproteins levels: Total Cholesterol, HDL Cholesterol, HDL Free Cholesterol, Total Apolipoprotein-A1, HDL Apolipoprotein-A1, HDL-4 Apolipoprotein-A1 and HDL-4 Phospholipids. This study provides novel insights into the serum metabolic and lipoprotein subfraction changes in patients as they progress from a healthy state to MGUS to MM, which may allow for earlier clinical detection and treatment.
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Affiliation(s)
- Shona Pedersen
- College of Medicine, QU Health, Qatar University, Doha 2713, Qatar
| | | | - Søren Risom Kristensen
- Department of Clinical Biochemistry, Aalborg University Hospital, DK-9000 Aalborg, Denmark;
- Department of Clinical Medicine, Aalborg University, DK-9000 Aalborg, Denmark
| | | | - Mohamed A. Elrayess
- Biomedical Research Center (BRC), Qatar University, Doha 2713, Qatar; (N.R.A.); (M.A.E.)
| | - Trygve Andreassen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway;
- St. Olavs Hospital HF, NO-7006 Trondheim, Norway
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8
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Wang M, Zhang R, Zhang S, Zhou X, Song Y, Wang Q. Simultaneous quantitation of multiple myeloma related dietary metabolites in serum using HILIC-LC-MS/MS. Food Nutr Res 2023; 67:9135. [PMID: 37533448 PMCID: PMC10392861 DOI: 10.29219/fnr.v67.9135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 04/13/2023] [Accepted: 05/02/2023] [Indexed: 08/04/2023] Open
Abstract
Background Recent studies from targeted and untargeted metabolomics have consistently revealed that diet-related metabolites, including carnitine (C0), several species of acylcarnitines (AcyCNs), amino acids, ceramides, and lysophosphatidylcholines (LPCs) may serve as potential multiple myeloma (MM) biomarkers. However, most of these approaches had some intrinsic limitations, namely low reproducibility and compromising the accuracy of the results. Objective This study developed and validated a precise, efficient, and reliable liquid chromatography tandem mass spectrometric (LC-MS/MS) method for measuring these 28 metabolic risk factors in human serum. Design This method employed isopropanol to extract the metabolites from serum, gradient elution on a hydrophilic interaction liquid chromatographic column (HILIC) for chromatographic separation, and multiple reaction monitor (MRM) mode with positive electrospray ionization (ESI) for mass spectrometric detection. Results The correlation coefficients of linear response for this method were more than 0.9984. Analytical recoveries ranged from 91.3 to 106.3%, averaging 99.5%. The intra-run and total coefficients of variation were 1.1-5.9% and 2.0-9.6%, respectively. We have simultaneously determined the serological levels of C0, several subclasses of AcyCNs, amino acids, ceramides, and LPCs within 15 min for the first time. Conclusion The established LC-MS/MS method was accurate, sensitive, efficient, and could be valuable in providing insights into the association between diet patterns and MM disease and added value in further clinical research.
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Affiliation(s)
- Mo Wang
- Department of Clinical Laboratory, Beijing Chaoyang Hospital, Beijing Center for Clinical Laboratories, The Third Clinical Medical College of Capital Medical University, Beijing, P.R. China
| | - Rui Zhang
- Department of Clinical Laboratory, Beijing Chaoyang Hospital, Beijing Center for Clinical Laboratories, The Third Clinical Medical College of Capital Medical University, Beijing, P.R. China
| | - Shunli Zhang
- Department of Clinical Laboratory, Beijing Chaoyang Hospital, Beijing Center for Clinical Laboratories, The Third Clinical Medical College of Capital Medical University, Beijing, P.R. China
| | - Xiaojie Zhou
- Department of Clinical Laboratory, Beijing Chaoyang Hospital, The Third Clinical Medical College of Capital Medical University, Beijing, P.R. China
| | - Yichuan Song
- Department of Clinical Laboratory, Beijing Chaoyang Hospital, Capital Medical University, Beijing, P.R. China
| | - Qingtao Wang
- Department of Clinical Laboratory, Beijing Chaoyang Hospital, Beijing Center for Clinical Laboratories, The Third Clinical Medical College of Capital Medical University, Beijing, P.R. China
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Shi R, DU W, He Y, Hu J, Yu H, Zhou W, Guo J, Feng X. High expression of VARS promotes the growth of multiple myeloma cells by causing imbalance in valine metabolism. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2023; 48:795-808. [PMID: 37587064 PMCID: PMC10930441 DOI: 10.11817/j.issn.1672-7347.2023.220602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Indexed: 08/18/2023]
Abstract
OBJECTIVES Multiple myeloma (MM) is a plasma cell malignancy occurring in middle and old age. MM is still an incurable disease due to its frequent recurrence and drug resistance. However, its pathogenesis is still unclear. Abnormal amino acid metabolism is one of the important characteristics of MM, and the important metabolic pathway of amino acids participates in protein synthesis as basic raw materials. Aminoacyl transfer ribonucleic acid synthetase (ARS) gene is a key regulatory gene in protein synthesis. This study aims to explore the molecular mechanism for ARS, a key factor of amino acid metabolism, in regulating amino acid metabolism in MM and affecting MM growth. METHODS The corresponding gene number was combined with the gene expression profile GSE5900 dataset and GSE2658 dataset in Gene Expression Omnibus (GEO) database to standardize the gene expression data of ARS. GSEA_4.2.0 software was used to analyze the difference of gene enrichment between healthy donors (HD) and MM patients in GEO database. GraphPad Prism 7 was used to draw heat maps and perform data analysis. Kaplan-Meier and Cox regression model were used to analyze the expression of ARS gene and the prognosis of MM patients, respectively. Bone marrow samples from 7 newly diagnosed MM patients were collected, CD138+ and CD138- cells were obtained by using CD138 antibody magnetic beads, and the expression of ARS in MM clinical samples was analyzed by real-time RT-PCR. Human B lymphocyte GM12878 cells and human MM cell lines ARP1, NCI-H929, OCI-MY5, U266, RPMI 8266, OPM-2, JJN-3, KMS11, MM1.s cells were selected as the study objects. The expression of ARS in MM cell lines was analyzed by real-time RT-PCR and Western blotting. Short hairpin RNA (shRNA) lentiviruses were used to construct gene knock-out plasmids (VARS-sh group). No-load plasmids (scramble group) and gene knock-out plasmids (VARS-sh group) were transfected into HEK 293T cells with for virus packaging, respectively. Stable expression cell lines were established by infecting ARP1 and OCI-MY5 cells, and the effects of knockout valyl-tRNA synthetase (VARS) gene on proliferation and apoptosis of MM cells were detected by cell counting and flow cytometry, respectively. GEO data were divided into a high expression group and a low expression group according to the expression of VARS. Bioinformatics analysis was performed to explore the downstream pathways affected by VARS. Gas chromatography time-of-flight mass spectrometry (GC-TOF/MS) and high performance liquid chromatography (HPLC) were used to detect the valine content in CD138+ cells and ARP1, OCI-MY5 cells and supernatant of knockdown VARS gene in bone marrow samples from patients, respectively. RESULTS Gene enrichment analysis showed that tRNA processing related genes were significantly enriched in MM compared with HD (P<0.0001). Further screening of tRNA processing-pathway related subsets revealed that cytoplasmic aminoacyl tRNA synthetase family genes were significantly enriched in MM (P<0.0001). The results of gene expression heat map showed that the ARS family genes except alanyl-tRNA synthetase (AARS), arginyl-tRNA synthetase (RARS), seryl-tRNA synthetase (SARS) in GEO data were highly expressed in MM (all P<0.01). With the development of monoclonal gammopathy of undetermined significance (MGUS) to MM, the gene expression level was increased gradually. Kaplan-Meier univariate analysis of survival results showed that there were significant differences in the prognosis of MM patients in methionyl-tRNA synthetase (MARS), asparaginyl-tRNA synthetase (NARS) and VARS between the high expression group and the low expression group (all P<0.05). Cox regression model multivariate analysis showed that the high expression of VARS was associated with abnormal overall survival time of MM (HR=1.83, 95% CI 1.10 to 3.06, P=0.021). The high expression of NARS (HR=0.90, 95% CI 0.34 to 2.38) and MARS (HR=1.59, 95% CI 0.73 to 3.50) had no effect on the overall survival time of MM patients (both P>0.05). Real-time RT-PCR and Western blotting showed that VARS, MARS and NARS were highly expressed in CD138+ MM cells and MM cell lines of clinical patients (all P<0.05). Cell counting and flow cytometry results showed that the proliferation of MM cells by knockout VARS was significantly inhibited (P<0.01), the proportion of apoptosis was significantly increased (P<0.05). Bioinformatics analysis showed that in addition to several pathways including the cell cycle regulated by VARS, the valine, leucine and isoleucine catabolic pathways were upregulated. Non-targeted metabolomics data showed reduced valine content in CD138+ tumor cells in MM patients compared to HD (P<0.05). HPLC results showed that compared with the scramble group, the intracellular and medium supernatant content of ARP1 cells and the medium supernatant of OCI-MY5 in the VARS-shRNA group was increased (all P<0.05). CONCLUSIONS MM patients with abnormal high expression of VARS have a poor prognosis. VARS promotes the malignant growth of MM cells by affecting the regulation of valine metabolism.
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Affiliation(s)
- Rui Shi
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006.
| | - Wanqing DU
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006
| | - Yanjuan He
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008
| | - Jian Hu
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008
| | - Han Yu
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006
| | - Wen Zhou
- Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410078, China
| | - Jiaojiao Guo
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008.
| | - Xiangling Feng
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006.
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10
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Rana PS, Goparaju K, Driscoll JJ. Shutting off the fuel supply to target metabolic vulnerabilities in multiple myeloma. Front Oncol 2023; 13:1141851. [PMID: 37361580 PMCID: PMC10285382 DOI: 10.3389/fonc.2023.1141851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 05/18/2023] [Indexed: 06/28/2023] Open
Abstract
Pathways that govern cellular bioenergetics are deregulated in tumor cells and represent a hallmark of cancer. Tumor cells have the capacity to reprogram pathways that control nutrient acquisition, anabolism and catabolism to enhance their growth and survival. Tumorigenesis requires the autonomous reprogramming of key metabolic pathways that obtain, generate and produce metabolites from a nutrient-deprived tumor microenvironment to meet the increased bioenergetic demands of cancer cells. Intra- and extracellular factors also have a profound effect on gene expression to drive metabolic pathway reprogramming in not only cancer cells but also surrounding cell types that contribute to anti-tumor immunity. Despite a vast amount of genetic and histologic heterogeneity within and between cancer types, a finite set of pathways are commonly deregulated to support anabolism, catabolism and redox balance. Multiple myeloma (MM) is the second most common hematologic malignancy in adults and remains incurable in the vast majority of patients. Genetic events and the hypoxic bone marrow milieu deregulate glycolysis, glutaminolysis and fatty acid synthesis in MM cells to promote their proliferation, survival, metastasis, drug resistance and evasion of immunosurveillance. Here, we discuss mechanisms that disrupt metabolic pathways in MM cells to support the development of therapeutic resistance and thwart the effects of anti-myeloma immunity. A better understanding of the events that reprogram metabolism in myeloma and immune cells may reveal unforeseen vulnerabilities and advance the rational design of drug cocktails that improve patient survival.
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Affiliation(s)
- Priyanka S. Rana
- Division of Hematology and Oncology, Department of Medicine, Case Western Reserve University, Cleveland, OH, United States
- Immune Oncology Program, Case Comprehensive Cancer Center, Cleveland, OH, United States
| | - Krishna Goparaju
- Division of Hematology and Oncology, Department of Medicine, Case Western Reserve University, Cleveland, OH, United States
- Adult Hematologic Malignancies & Stem Cell Transplant Section, Seidman Cancer Center, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
| | - James J. Driscoll
- Division of Hematology and Oncology, Department of Medicine, Case Western Reserve University, Cleveland, OH, United States
- Immune Oncology Program, Case Comprehensive Cancer Center, Cleveland, OH, United States
- Adult Hematologic Malignancies & Stem Cell Transplant Section, Seidman Cancer Center, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
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Habib MA, Islam MM, Islam MM, Hasan MM, Baek KH. Current Status and De Novo Synthesis of Anti-Tumor Alkaloids in Nicotiana. Metabolites 2023; 13:metabo13050623. [PMID: 37233664 DOI: 10.3390/metabo13050623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 04/20/2023] [Accepted: 04/27/2023] [Indexed: 05/27/2023] Open
Abstract
Alkaloids are the most diversified nitrogen-containing secondary metabolites, having antioxidant and antimicrobial properties, and are extensively used in pharmaceuticals to treat different types of cancer. Nicotiana serves as a reservoir of anti-cancer alkaloids and is also used as a model plant for the de novo synthesis of various anti-cancer molecules through genetic engineering. Up to 4% of the total dry weight of Nicotiana was found to be composed of alkaloids, where nicotine, nornicotine, anatabine, and anabasine are reported as the dominant alkaloids. Additionally, among the alkaloids present in Nicotiana, β-carboline (Harmane and Norharmane) and Kynurenines are found to show anti-tumor effects, especially in the cases of colon and breast cancers. Creating new or shunting of existing biosynthesis pathways in different species of Nicotiana resulted in de novo or increased synthesis of different anti-tumor molecules or their derivatives or precursors including Taxadiane (~22.5 µg/g), Artemisinin (~120 μg/g), Parthenolide (~2.05 ng/g), Costunolide (~60 ng/g), Etoposide (~1 mg/g), Crocin (~400 µg/g), Catharanthine (~60 ng/g), Tabersonine (~10 ng/g), Strictosidine (~0.23 mg/g), etc. Enriching the precursor pool, especially Dimethylallyl Diphosphate (DMAPP), down-regulating other bi-product pathways, compartmentalization or metabolic shunting, or organelle-specific reconstitution of the precursor pool, might trigger the enhanced accumulation of the targeted anti-cancer alkaloid in Nicotiana.
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Affiliation(s)
- Md Ahsan Habib
- Department of Plant Pathology, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh
| | - Md Mobinul Islam
- Department of Plant Pathology, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh
| | - Md Mukul Islam
- Department of Plant Pathology, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh
| | - Md Mohidul Hasan
- Department of Plant Pathology, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh
| | - Kwang-Hyun Baek
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea
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12
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Yang Q, Wei Y, Zhu Y, Guo J, Zhang J, He Y, Li X, Liu J, Zhou W. The Interaction between Gut Microbiota and Host Amino Acids Metabolism in Multiple Myeloma. Cancers (Basel) 2023; 15:cancers15071942. [PMID: 37046603 PMCID: PMC10093363 DOI: 10.3390/cancers15071942] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/18/2023] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
Although novel therapies have dramatically improved outcomes for multiple myeloma (MM) patients, relapse is inevitable and overall outcomes are heterogeneous. The gut microbiota is becoming increasingly recognized for its influence on host metabolism. To date, evidence has suggested that the gut microbiota contributes to MM, not only via the progressive activities of specific bacteria but also through the influence of the microbiota on host metabolism. Importantly, the abnormal amino acid metabolism, as well as the altered microbiome in MM, is becoming increasingly apparent, as is the influence on MM progression and the therapeutic response. Moreover, the gut-microbiota-host-amino-acid metabolism interaction in the progression of MM has been highlighted. Modulation of the gut microbiota (such as fecal microbiota transplantation, FMT) can be modified, representing a new angle in MM treatment that can improve outcomes. In this review, the relationship between gut microbiota, metabolism, and MM, together with strategies to modulate the microbiota, will be discussed, and some unanswered questions for ongoing and future research will be presented.
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Affiliation(s)
- Qin Yang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yumou Wei
- Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410008, China
| | - Yinghong Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008, China
- Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410008, China
| | - Jiaojiao Guo
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008, China
- Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410008, China
| | - Jingyu Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008, China
- Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410008, China
| | - Yanjuan He
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xin Li
- Department of Hematology, The Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Jing Liu
- Department of Hematology, The Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Wen Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008, China
- Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410008, China
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Metabolic Alterations in Multiple Myeloma: From Oncogenesis to Proteasome Inhibitor Resistance. Cancers (Basel) 2023; 15:cancers15061682. [PMID: 36980568 PMCID: PMC10046772 DOI: 10.3390/cancers15061682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Despite significant improvements in treatment strategies over the past couple of decades, multiple myeloma (MM) remains an incurable disease due to the development of drug resistance. Metabolic reprogramming is a key feature of cancer cells, including MM, and acts to fuel increased proliferation, create a permissive tumour microenvironment, and promote drug resistance. This review presents an overview of the key metabolic adaptations that occur in MM pathogenesis and in the development of resistance to proteasome inhibitors, the backbone of current MM therapy, and considers the potential for therapeutic targeting of key metabolic pathways to improve outcomes.
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Farrell M, Fairfield H, Karam M, D'Amico A, Murphy CS, Falank C, Pistofidi RS, Cao A, Marinac CR, Dragon JA, McGuinness L, Gartner CG, Iorio RD, Jachimowicz E, DeMambro V, Vary C, Reagan MR. Targeting the fatty acid binding proteins disrupts multiple myeloma cell cycle progression and MYC signaling. eLife 2023; 12:e81184. [PMID: 36880649 PMCID: PMC9995119 DOI: 10.7554/elife.81184] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 02/13/2023] [Indexed: 03/08/2023] Open
Abstract
Multiple myeloma is an incurable plasma cell malignancy with only a 53% 5-year survival rate. There is a critical need to find new multiple myeloma vulnerabilities and therapeutic avenues. Herein, we identified and explored a novel multiple myeloma target: the fatty acid binding protein (FABP) family. In our work, myeloma cells were treated with FABP inhibitors (BMS3094013 and SBFI-26) and examined in vivo and in vitro for cell cycle state, proliferation, apoptosis, mitochondrial membrane potential, cellular metabolism (oxygen consumption rates and fatty acid oxidation), and DNA methylation properties. Myeloma cell responses to BMS309403, SBFI-26, or both, were also assessed with RNA sequencing (RNA-Seq) and proteomic analysis, and confirmed with western blotting and qRT-PCR. Myeloma cell dependency on FABPs was assessed using the Cancer Dependency Map (DepMap). Finally, MM patient datasets (CoMMpass and GEO) were mined for FABP expression correlations with clinical outcomes. We found that myeloma cells treated with FABPi or with FABP5 knockout (generated via CRISPR/Cas9 editing) exhibited diminished proliferation, increased apoptosis, and metabolic changes in vitro. FABPi had mixed results in vivo, in two pre-clinical MM mouse models, suggesting optimization of in vivo delivery, dosing, or type of FABP inhibitors will be needed before clinical applicability. FABPi negatively impacted mitochondrial respiration and reduced expression of MYC and other key signaling pathways in MM cells in vitro. Clinical data demonstrated worse overall and progression-free survival in patients with high FABP5 expression in tumor cells. Overall, this study establishes the FABP family as a potentially new target in multiple myeloma. In MM cells, FABPs have a multitude of actions and cellular roles that result in the support of myeloma progression. Further research into the FABP family in MM is warrented, especially into the effective translation of targeting these in vivo.
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Affiliation(s)
- Mariah Farrell
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- Graduate School of Biomedical Science and Engineering, University of MaineOronoUnited States
- Tufts University School of MedicineBostonUnited States
| | - Heather Fairfield
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- Graduate School of Biomedical Science and Engineering, University of MaineOronoUnited States
- Tufts University School of MedicineBostonUnited States
| | - Michelle Karam
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
| | - Anastasia D'Amico
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
| | - Connor S Murphy
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- Graduate School of Biomedical Science and Engineering, University of MaineOronoUnited States
| | - Carolyne Falank
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
| | | | - Amanda Cao
- Dana-Farber Cancer InstituteBostonUnited States
- Harvard Medical SchoolBostonUnited States
| | - Catherine R Marinac
- Dana-Farber Cancer InstituteBostonUnited States
- Harvard Medical SchoolBostonUnited States
| | | | - Lauren McGuinness
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- University of New EnglandBiddefordUnited States
| | - Carlos G Gartner
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- Graduate School of Biomedical Science and Engineering, University of MaineOronoUnited States
- Tufts University School of MedicineBostonUnited States
| | - Reagan Di Iorio
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- University of New EnglandBiddefordUnited States
| | - Edward Jachimowicz
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
| | - Victoria DeMambro
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- Graduate School of Biomedical Science and Engineering, University of MaineOronoUnited States
| | - Calvin Vary
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- Graduate School of Biomedical Science and Engineering, University of MaineOronoUnited States
- Tufts University School of MedicineBostonUnited States
| | - Michaela R Reagan
- Center for Molecular Medicine, Maine Health Institute for ResearchScarboroughUnited States
- Graduate School of Biomedical Science and Engineering, University of MaineOronoUnited States
- Tufts University School of MedicineBostonUnited States
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15
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Nair R, Gupta P, Shanmugam M. Mitochondrial metabolic determinants of multiple myeloma growth, survival, and therapy efficacy. Front Oncol 2022; 12:1000106. [PMID: 36185202 PMCID: PMC9523312 DOI: 10.3389/fonc.2022.1000106] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 08/29/2022] [Indexed: 01/30/2023] Open
Abstract
Multiple myeloma (MM) is a plasma cell dyscrasia characterized by the clonal proliferation of antibody producing plasma cells. Despite the use of next generation proteasome inhibitors (PI), immunomodulatory agents (IMiDs) and immunotherapy, the development of therapy refractory disease is common, with approximately 20% of MM patients succumbing to aggressive treatment-refractory disease within 2 years of diagnosis. A large emphasis is placed on understanding inter/intra-tumoral genetic, epigenetic and transcriptomic changes contributing to relapsed/refractory disease, however, the contribution of cellular metabolism and intrinsic/extrinsic metabolites to therapy sensitivity and resistance mechanisms is less well understood. Cancer cells depend on specific metabolites for bioenergetics, duplication of biomass and redox homeostasis for growth, proliferation, and survival. Cancer therapy, importantly, largely relies on targeting cellular growth, proliferation, and survival. Thus, understanding the metabolic changes intersecting with a drug's mechanism of action can inform us of methods to elicit deeper responses and prevent acquired resistance. Knowledge of the Warburg effect and elevated aerobic glycolysis in cancer cells, including MM, has allowed us to capitalize on this phenomenon for diagnostics and prognostics. The demonstration that mitochondria play critical roles in cancer development, progression, and therapy sensitivity despite the inherent preference of cancer cells to engage aerobic glycolysis has re-invigorated deeper inquiry into how mitochondrial metabolism regulates tumor biology and therapy efficacy. Mitochondria are the sole source for coupled respiration mediated ATP synthesis and a key source for the anabolic synthesis of amino acids and reducing equivalents. Beyond their core metabolic activities, mitochondria facilitate apoptotic cell death, impact the activation of the cytosolic integrated response to stress, and through nuclear and cytosolic retrograde crosstalk maintain cell fitness and survival. Here, we hope to shed light on key mitochondrial functions that shape MM development and therapy sensitivity.
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Oudaert I, Van der Vreken A, Maes A, De Bruyne E, De Veirman K, Vanderkerken K, Menu E. Metabolic cross-talk within the bone marrow milieu: focus on multiple myeloma. Exp Hematol Oncol 2022; 11:49. [PMID: 36050788 PMCID: PMC9438316 DOI: 10.1186/s40164-022-00303-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022] Open
Abstract
Cancer cells are well-known for their capacity to adapt their metabolism to their increasing energy demands which is necessary for tumor progression. This is no different for Multiple Myeloma (MM), a hematological cancer which develops in the bone marrow (BM), whereby the malignant plasma cells accumulate and impair normal BM functions. It has become clear that the hypoxic BM environment contributes to metabolic rewiring of the MM cells, including changes in metabolite levels, increased/decreased activity of metabolic enzymes and metabolic shifts. These adaptations will lead to a pro-tumoral environment stimulating MM growth and drug resistance In this review, we discuss the identified metabolic changes in MM and the BM microenvironment and summarize how these identified changes have been targeted (by inhibitors, genetic approaches or deprivation studies) in order to block MM progression and survival.
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Affiliation(s)
- Inge Oudaert
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Arne Van der Vreken
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Anke Maes
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Elke De Bruyne
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Kim De Veirman
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Karin Vanderkerken
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Eline Menu
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium.
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Dambrova M, Makrecka-Kuka M, Kuka J, Vilskersts R, Nordberg D, Attwood MM, Smesny S, Sen ZD, Guo AC, Oler E, Tian S, Zheng J, Wishart DS, Liepinsh E, Schiöth HB. Acylcarnitines: Nomenclature, Biomarkers, Therapeutic Potential, Drug Targets, and Clinical Trials. Pharmacol Rev 2022; 74:506-551. [PMID: 35710135 DOI: 10.1124/pharmrev.121.000408] [Citation(s) in RCA: 143] [Impact Index Per Article: 71.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Acylcarnitines are fatty acid metabolites that play important roles in many cellular energy metabolism pathways. They have historically been used as important diagnostic markers for inborn errors of fatty acid oxidation and are being intensively studied as markers of energy metabolism, deficits in mitochondrial and peroxisomal β -oxidation activity, insulin resistance, and physical activity. Acylcarnitines are increasingly being identified as important indicators in metabolic studies of many diseases, including metabolic disorders, cardiovascular diseases, diabetes, depression, neurologic disorders, and certain cancers. The US Food and Drug Administration-approved drug L-carnitine, along with short-chain acylcarnitines (acetylcarnitine and propionylcarnitine), is now widely used as a dietary supplement. In light of their growing importance, we have undertaken an extensive review of acylcarnitines and provided a detailed description of their identity, nomenclature, classification, biochemistry, pathophysiology, supplementary use, potential drug targets, and clinical trials. We also summarize these updates in the Human Metabolome Database, which now includes information on the structures, chemical formulae, chemical/spectral properties, descriptions, and pathways for 1240 acylcarnitines. This work lays a solid foundation for identifying, characterizing, and understanding acylcarnitines in human biosamples. We also discuss the emerging opportunities for using acylcarnitines as biomarkers and as dietary interventions or supplements for many wide-ranging indications. The opportunity to identify new drug targets involved in controlling acylcarnitine levels is also discussed. SIGNIFICANCE STATEMENT: This review provides a comprehensive overview of acylcarnitines, including their nomenclature, structure and biochemistry, and use as disease biomarkers and pharmaceutical agents. We present updated information contained in the Human Metabolome Database website as well as substantial mapping of the known biochemical pathways associated with acylcarnitines, thereby providing a strong foundation for further clarification of their physiological roles.
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Affiliation(s)
- Maija Dambrova
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Marina Makrecka-Kuka
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Janis Kuka
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Reinis Vilskersts
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Didi Nordberg
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Misty M Attwood
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Stefan Smesny
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Zumrut Duygu Sen
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - An Chi Guo
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Eponine Oler
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Siyang Tian
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Jiamin Zheng
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - David S Wishart
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Edgars Liepinsh
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
| | - Helgi B Schiöth
- Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis, Riga, Latvia (M.D., M.M.-K., J.K., R.V., E.L.); Section of Functional Pharmacology, Department of Neuroscience, Uppsala University, Uppsala, Sweden, (D.N., M.M.A., H.B.S.); Department of Psychiatry, Jena University Hospital, Jena, Germany (S.S., Z.D.S.); and Department of Biological Sciences, University of Alberta, Edmonton, Canada (A.C.G., E.O., S.T., J.Z., D.S.W.)
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18
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Petrusca DN, Lee KP, Galson DL. Role of Sphingolipids in Multiple Myeloma Progression, Drug Resistance, and Their Potential as Therapeutic Targets. Front Oncol 2022; 12:925807. [PMID: 35756630 PMCID: PMC9213658 DOI: 10.3389/fonc.2022.925807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple myeloma (MM) is an incapacitating hematological malignancy characterized by accumulation of cancerous plasma cells in the bone marrow (BM) and production of an abnormal monoclonal protein (M-protein). The BM microenvironment has a key role in myeloma development by facilitating the growth of the aberrant plasma cells, which eventually interfere with the homeostasis of the bone cells, exacerbating osteolysis and inhibiting osteoblast differentiation. Recent recognition that metabolic reprograming has a major role in tumor growth and adaptation to specific changes in the microenvironmental niche have led to consideration of the role of sphingolipids and the enzymes that control their biosynthesis and degradation as critical mediators of cancer since these bioactive lipids have been directly linked to the control of cell growth, proliferation, and apoptosis, among other cellular functions. In this review, we present the recent progress of the research investigating the biological implications of sphingolipid metabolism alterations in the regulation of myeloma development and its progression from the pre-malignant stage and discuss the roles of sphingolipids in in MM migration and adhesion, survival and proliferation, as well as angiogenesis and invasion. We introduce the current knowledge regarding the role of sphingolipids as mediators of the immune response and drug-resistance in MM and tackle the new developments suggesting the manipulation of the sphingolipid network as a novel therapeutic direction for MM.
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Affiliation(s)
- Daniela N Petrusca
- Department of Medicine, Division of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Kelvin P Lee
- Department of Medicine, Division of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN, United States.,Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, United States
| | - Deborah L Galson
- Department of Medicine, Division of Hematology/Oncology, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, McGowan Institute for Regenerative Medicine, HCC Research Pavilion, University of Pittsburgh, Pittsburgh, PA, United States
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19
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Yue L, Zeng P, Li Y, Chai Y, Wu C, Gao B. Nontargeted and targeted metabolomics approaches reveal the key amino acid alterations involved in multiple myeloma. PeerJ 2022; 10:e12918. [PMID: 35186493 PMCID: PMC8840056 DOI: 10.7717/peerj.12918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 01/20/2022] [Indexed: 01/11/2023] Open
Abstract
PURPOSE Multiple myeloma (MM), a kind of malignant neoplasm of clonal plasma cells in the bone marrow, is a refractory disease. Understanding the metabolism disorders and identification of metabolomics pathways as well as key metabolites will provide new insights for exploring diagnosis and therapeutic targets of MM. METHODS We conducted nontargeted metabolomics analysis of MM patients and normal controls (NC) using ultra-high-performance liquid chromatography (UHPLC) combined with quadrupole time-of-flight mass spectrometry (Q-TOF-MS) in 40 cases of cohort 1 subjects. The targeted metabolomics analysis of amino acids using multiple reaction monitoring-mass spectrometry (MRM-MS) was also performed in 30 cases of cohort 1 and 30 cases of cohort 2 participants, to comprehensively investigate the metabolomics disorders of MM. RESULTS The nontargeted metabolomics analysis in cohort 1 indicated that there was a significant metabolic signature change between MM patients and NC. The differential metabolites were mainly enriched in metabolic pathways related to amino acid metabolism, such as protein digestion and absorption, and biosynthesis of amino acids. Further, the targeted metabolomics analysis of amino acids in both cohort 1 and cohort 2 revealed differential metabolic profiling between MM patients and NC. We identified 12 and 14 amino acid metabolites with altered abundance in MM patients compared to NC subjects, in cohort 1 and cohort 2, respectively. Besides, key differential amino acid metabolites, such as choline, creatinine, leucine, tryptophan, and valine, may discriminate MM patients from NC. Moreover, the differential amino acid metabolites were associated with clinical indicators of MM patients. CONCLUSIONS Our findings indicate that amino acid metabolism disorders are involved in MM. The differential profiles reveal the potential utility of key amino acid metabolites as diagnostic biomarkers of MM. The alterations in metabolome, especially the amino acid metabolome, may provide more evidences for elucidating the pathogenesis and development of MM.
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Affiliation(s)
- Lingling Yue
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Pengyun Zeng
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Yanhong Li
- Institute of Hematology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Ye Chai
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Chongyang Wu
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Bingren Gao
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China
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20
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Liquid biopsy: an evolving paradigm for the biological characterisation of plasma cell disorders. Leukemia 2021; 35:2771-2783. [PMID: 34262132 DOI: 10.1038/s41375-021-01339-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/14/2021] [Accepted: 06/25/2021] [Indexed: 02/06/2023]
Abstract
Liquid biopsies-a source of circulating cell-free nucleic acids, proteins and extracellular vesicles-are currently being explored for the quantitative and qualitative characterisation of the tumour genome and as a mode of non-invasive therapeutic monitoring in cancer. Emerging data suggest that liquid biopsies might offer a potentially simple, non-invasive, repeatable strategy for diagnosis, prognostication and therapeutic decision making in a genetically heterogeneous disease like multiple myeloma (MM), with particular applicability in subsets of patients where conventional markers of disease burden may be less informative. In this review, we describe the emerging utility of the evaluation of circulating tumour DNA, extracellular RNA, cell-free proteins and metabolites and extracellular vesicles in MM.
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21
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Gastelum G, Veena M, Lyons K, Lamb C, Jacobs N, Yamada A, Baibussinov A, Sarafyan M, Shamis R, Kraut J, Frost P. Can Targeting Hypoxia-Mediated Acidification of the Bone Marrow Microenvironment Kill Myeloma Tumor Cells? Front Oncol 2021; 11:703878. [PMID: 34350119 PMCID: PMC8327776 DOI: 10.3389/fonc.2021.703878] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/01/2021] [Indexed: 12/15/2022] Open
Abstract
Multiple myeloma (MM) is an incurable cancer arising from malignant plasma cells that engraft in the bone marrow (BM). The physiology of these cancer cells within the BM microenvironment (TME) plays a critical role in MM development. These processes may be similar to what has been observed in the TME of other (non-hematological) solid tumors. It has been long reported that within the BM, vascular endothelial growth factor (VEGF), increased angiogenesis and microvessel density, and activation of hypoxia-induced transcription factors (HIF) are correlated with MM progression but despite a great deal of effort and some modest preclinical success the overall clinical efficacy of using anti-angiogenic and hypoxia-targeting strategies, has been limited. This review will explore the hypothesis that the TME of MM engrafted in the BM is distinctly different from non-hematological-derived solid tumors calling into question how effective these strategies may be against MM. We further identify other hypoxia-mediated effectors, such as hypoxia-mediated acidification of the TME, oxygen-dependent metabolic changes, and the generation of reactive oxygen species (ROS), that may prove to be more effective targets against MM.
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Affiliation(s)
- Gilberto Gastelum
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Research, Greater Los Angeles Veterans Administration Healthcare System, Los Angeles, CA, United States
| | - Mysore Veena
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Research, Greater Los Angeles Veterans Administration Healthcare System, Los Angeles, CA, United States
| | - Kylee Lyons
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Christopher Lamb
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Nicole Jacobs
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Alexandra Yamada
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Alisher Baibussinov
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Martin Sarafyan
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Rebeka Shamis
- Department of Research, Greater Los Angeles Veterans Administration Healthcare System, Los Angeles, CA, United States
| | - Jeffry Kraut
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Research, Greater Los Angeles Veterans Administration Healthcare System, Los Angeles, CA, United States
| | - Patrick Frost
- Department of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Research, Greater Los Angeles Veterans Administration Healthcare System, Los Angeles, CA, United States
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22
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Meyer JJ, Dreyhaupt J, Schwerdel D, Ettrich TJ, Backhus J, Dollinger MM, Seufferlein T, Berger AW. Blood-Based Targeted Metabolomics Discriminate Patients with Alcoholic Liver Cirrhosis from Those with Non-Cirrhotic Liver Damage: An Explorative Study. Dig Dis 2021; 40:223-231. [PMID: 33866312 DOI: 10.1159/000516488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 04/12/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Early detection of liver cirrhosis is crucial for secondary prevention of complications. However, noninvasive blood-based patient monitoring tools are lacking. In this explorative study, we conducted a targeted metabolomic analysis in order to identify possible serum markers indicating alcoholic liver cirrhosis (aLiC) with or without hepatocellular carcinoma (HCC). METHODS Venous blood of 30 individuals was collected: healthy controls ("Con", n = 12), patients with aLiC without and with HCC ("aLiC": n = 6 and "aLiC + HCC": n = 6), and patients with other liver diseases ("oLiD": n = 6). A targeted metabolomic analysis was conducted using the AbsoluteIDQ® p180 Kit (Biocrates Life Sciences®, Innsbruck, Austria). Statistical analysis was performed by applying a one-way ANOVA on all subgroups followed by a t test for pairwise comparison of subgroups and logistic regression analysis. RESULTS ANOVA revealed 29 metabolites that significantly discriminate between the different cohorts. Among these analytes, 25 were significantly altered in Con versus aLiC, as indicated by t test, most importantly SM C18:1 (p < 0.001), SM C20:2 (p = 0.001), SM (OH) C22:2 (p < 0.001), lysoPC a C20:4 (p < 0.001), and PC aa C36:5 (p < 0.001). To a similar extent, the metabolites discriminated also between the oLiD and aLiC but less between the Con or oLiD and aLiC + HCC cohorts. Most of these analytes were either lyso- and phosphatidylcholines or sphingomyelins. Results were not significant for comparison of Con versus oLiD and aLiC versus aLiC + HCC. CONCLUSION Decreased lyso- and phosphatidylcholine as well as sphingomyelin species in venous blood could help to detect liver cirrhosis in patients with non-cirrhotic liver disease.
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Affiliation(s)
- Jakob Johannes Meyer
- Department of Internal Medicine I, University Medical Center Ulm, Ulm, Germany.,Clinic for Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Dreyhaupt
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Daniel Schwerdel
- Department of Internal Medicine I, University Medical Center Ulm, Ulm, Germany
| | - Thomas Jens Ettrich
- Department of Internal Medicine I, University Medical Center Ulm, Ulm, Germany
| | - Johanna Backhus
- Department of Internal Medicine I, University Medical Center Ulm, Ulm, Germany
| | - Matthias Maximilian Dollinger
- Department of Internal Medicine I, University Medical Center Ulm, Ulm, Germany.,Medical Clinic I, Landshut Hospital, Landshut, Germany
| | - Thomas Seufferlein
- Department of Internal Medicine I, University Medical Center Ulm, Ulm, Germany
| | - Andreas Wolfgang Berger
- Department of Internal Medicine I, University Medical Center Ulm, Ulm, Germany.,Department of Gastroenterology, Gastrointestinal Oncology and Interventional Endoscopy, Vivantes Klinikum im Friedrichshain, Teaching Hospital of Charité - University Medical Center Berlin, Berlin, Germany
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23
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Mithraprabhu S, Kalff A, Gartlan KH, Savvidou I, Khong T, Ramachandran M, Cooke RE, Bowen K, Hill GR, Reynolds J, Spencer A. Phase II trial of single-agent panobinostat consolidation improves responses after sub-optimal transplant outcomes in multiple myeloma. Br J Haematol 2021; 193:160-170. [PMID: 32945549 PMCID: PMC8048685 DOI: 10.1111/bjh.17080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 08/11/2020] [Indexed: 01/23/2023]
Abstract
Panobinostat is a pan-deacetylase inhibitor that modulates the expression of oncogenic and immune-mediating genes involved in tumour cell growth and survival. We evaluated panobinostat-induced post-transplant responses and identified correlative biomarkers in patients with multiple myeloma who had failed to achieve a complete response after autologous transplantation. Patients received panobinostat 45 mg administered three-times weekly (TIW) on alternate weeks of 28-day cycles commencing 8-12 weeks post-transplant. Twelve of 25 patients (48%) improved their depth of response after a median (range) of 4·3 (1·9-9·7) months of panobinostat. In responders, T-lymphocyte histone acetylation increased after both three cycles (P < 0·05) and six cycles (P < 0·01) of panobinostat when compared to baseline, with no differences in non-responders. The reduction in the proportion of CD127+ CD8+ T cells and CD4:CD8 ratio was significantly greater, after three and six cycles of panobinostat compared to pre-transplant, in non-responders when compared to responders. Whole marrow RNA-seq revealed widespread transcriptional changes only in responders with baseline differences in genes involved in ribosome biogenesis, oxidative phosphorylation and metabolic pathways. This study confirmed the efficacy of panobinostat as a single agent in multiple myeloma and established acetylation of lymphocyte histones, modulation of immune subsets and transcriptional changes as pharmacodynamic biomarkers of clinical benefit.
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Affiliation(s)
- Sridurga Mithraprabhu
- Myeloma Research GroupAustralian Centre for Blood DiseasesAlfred Hospital‐Monash UniversityMelbourneVictoriaAustralia
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
| | - Anna Kalff
- Myeloma Research GroupAustralian Centre for Blood DiseasesAlfred Hospital‐Monash UniversityMelbourneVictoriaAustralia
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
| | - Kate H. Gartlan
- QIMR Berghofer Medical Research InstituteHerstonQueenslandAustralia
| | - Ioanna Savvidou
- Myeloma Research GroupAustralian Centre for Blood DiseasesAlfred Hospital‐Monash UniversityMelbourneVictoriaAustralia
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
| | - Tiffany Khong
- Myeloma Research GroupAustralian Centre for Blood DiseasesAlfred Hospital‐Monash UniversityMelbourneVictoriaAustralia
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
| | - Malarmathy Ramachandran
- Myeloma Research GroupAustralian Centre for Blood DiseasesAlfred Hospital‐Monash UniversityMelbourneVictoriaAustralia
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
| | - Rachel E. Cooke
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
- Haematology DepartmentNorthern HealthMelbourneVictoriaAustralia
| | - Kathryn Bowen
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
| | - Geoffrey R. Hill
- Clinical Research DivisionFred Hutchinson Cancer Research CentreSeattle, WashingtonUnited States
| | - John Reynolds
- Epidemiology and Preventive MedicineAlfred Health – Monash UniversityMelbourneVictoriaAustralia
| | - Andrew Spencer
- Myeloma Research GroupAustralian Centre for Blood DiseasesAlfred Hospital‐Monash UniversityMelbourneVictoriaAustralia
- Malignant Haematology and Stem Cell TransplantationAlfred HospitalMelbourneVictoriaAustralia
- Department of Clinical HaematologyMonash UniversityClaytonVictoriaAustralia
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24
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Ovejero S, Moreaux J. Multi-omics tumor profiling technologies to develop precision medicine in multiple myeloma. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2021. [DOI: 10.37349/etat.2020.00034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Multiple myeloma (MM), the second most common hematologic cancer, is caused by accumulation of aberrant plasma cells in the bone marrow. Its molecular causes are not fully understood and its great heterogeneity among patients complicates therapeutic decision-making. In the past decades, development of new therapies and drugs have significantly improved survival of MM patients. However, resistance to drugs and relapse remain the most common causes of mortality and are the major challenges to overcome. The advent of high throughput omics technologies capable of analyzing big amount of clinical and biological data has changed the way to diagnose and treat MM. Integration of omics data (gene mutations, gene expression, epigenetic information, and protein and metabolite levels) with clinical histories of thousands of patients allows to build scores to stratify the risk at diagnosis and predict the response to treatment, helping clinicians to make better educated decisions for each particular case. There is no doubt that the future of MM treatment relies on personalized therapies based on predictive models built from omics studies. This review summarizes the current treatments and the use of omics technologies in MM, and their importance in the implementation of personalized medicine.
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Affiliation(s)
- Sara Ovejero
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France
| | - Jerome Moreaux
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France 3University of Montpellier, UFR Medicine, 34093 Montpellier, France 4 Institut Universitaire de France (IUF), 75000 Paris France
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25
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Ovejero S, Moreaux J. Multi-omics tumor profiling technologies to develop precision medicine in multiple myeloma. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2021; 2:65-106. [PMID: 36046090 PMCID: PMC9400753 DOI: 10.37349/etat.2021.00034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 01/06/2021] [Indexed: 11/19/2022] Open
Abstract
Multiple myeloma (MM), the second most common hematologic cancer, is caused by accumulation of aberrant plasma cells in the bone marrow. Its molecular causes are not fully understood and its great heterogeneity among patients complicates therapeutic decision-making. In the past decades, development of new therapies and drugs have significantly improved survival of MM patients. However, resistance to drugs and relapse remain the most common causes of mortality and are the major challenges to overcome. The advent of high throughput omics technologies capable of analyzing big amount of clinical and biological data has changed the way to diagnose and treat MM. Integration of omics data (gene mutations, gene expression, epigenetic information, and protein and metabolite levels) with clinical histories of thousands of patients allows to build scores to stratify the risk at diagnosis and predict the response to treatment, helping clinicians to make better educated decisions for each particular case. There is no doubt that the future of MM treatment relies on personalized therapies based on predictive models built from omics studies. This review summarizes the current treatments and the use of omics technologies in MM, and their importance in the implementation of personalized medicine.
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Affiliation(s)
- Sara Ovejero
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France
| | - Jerome Moreaux
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France 3UFR Medicine, University of Montpellier, 34093 Montpellier, France 4Institut Universitaire de France (IUF), 75000 Paris, France
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26
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Gómez-Cebrián N, Rojas-Benedicto A, Albors-Vaquer A, Bellosillo B, Besses C, Martínez-López J, Pineda-Lucena A, Puchades-Carrasco L. Polycythemia Vera and Essential Thrombocythemia Patients Exhibit Unique Serum Metabolic Profiles Compared to Healthy Individuals and Secondary Thrombocytosis Patients. Cancers (Basel) 2021; 13:cancers13030482. [PMID: 33513807 PMCID: PMC7865636 DOI: 10.3390/cancers13030482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 01/15/2021] [Accepted: 01/22/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Current diagnosis of myeloproliferative neoplasms (MPNs), including polycythemia vera (PV) and essential thrombocythemia (ET), is controversial due to limitations associated with the lack of reproducibility, subjectivity and the presence of common somatic mutations in the driver genes. Metabolomics represents a powerful approach to identify altered metabolites that can differentiate between disease status at the time of diagnosis. The objective of this study was to characterize the serum metabolic profile of MPNs patients (PV and ET) and compare it with healthy controls (HC) and secondary thrombocytosis (ST) patients. The analysis revealed metabolites following similar trends between PV and ET patients, as well as unique significant differences in the serum metabolite levels of MNPs patients compared to HC and ST patients. These results could contribute to better differentiate patients with these diseases from HC and ST patients. Abstract Most common myeloproliferative neoplasms (MPNs) include polycythemia vera (PV) and essential thrombocythemia (ET). Accurate diagnosis of these disorders remains a clinical challenge due to the lack of specific clinical or molecular features in some patients enabling their discrimination. Metabolomics has been shown to be a powerful tool for the discrimination between different hematological diseases through the analysis of patients’ serum metabolic profiles. In this pilot study, the potential of NMR-based metabolomics to characterize the serum metabolic profile of MPNs patients (PV, ET), as well as its comparison with the metabolic profile of healthy controls (HC) and secondary thrombocytosis (ST) patients, was assessed. The metabolic profile of PV and ET patients, compared with HC, exhibited higher levels of lysine and decreased levels of acetoacetic acid, glutamate, polyunsaturated fatty acids (PUFAs), scyllo-inositol and 3-hydroxyisobutyrate. Furthermore, ET patients, compared with HC and ST patients, were characterized by decreased levels of formate, N-acetyl signals from glycoproteins (NAC) and phenylalanine, while the serum profile of PV patients, compared with HC, showed increased concentrations of lactate, isoleucine, creatine and glucose, as well as lower levels of choline-containing metabolites. The overall analysis revealed significant metabolic alterations mainly associated with energy metabolism, the TCA cycle, along with amino acid and lipid metabolism. These results underscore the potential of metabolomics for identifying metabolic alterations in the serum of MPNs patients that could contribute to improving the clinical management of these diseases.
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Affiliation(s)
- Nuria Gómez-Cebrián
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (N.G.-C.); (A.R.-B.); (A.A.-V.); (A.P.-L.)
| | - Ayelén Rojas-Benedicto
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (N.G.-C.); (A.R.-B.); (A.A.-V.); (A.P.-L.)
| | - Arturo Albors-Vaquer
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (N.G.-C.); (A.R.-B.); (A.A.-V.); (A.P.-L.)
| | - Beatriz Bellosillo
- Department of Pathology, Hospital Del Mar Medical Research Institute, 08003 Barcelona, Spain;
| | - Carlos Besses
- Department of Hematology, Hospital Del Mar Medical Research Institute, 08003 Barcelona, Spain;
| | - Joaquín Martínez-López
- Department of Hematology, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, 28040 Madrid, Spain;
| | - Antonio Pineda-Lucena
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (N.G.-C.); (A.R.-B.); (A.A.-V.); (A.P.-L.)
- Molecular Therapeutics Program, Centro de Investigación Médica Aplicada, Universidad de Navarra, 28040 Pamplona, Spain
| | - Leonor Puchades-Carrasco
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (N.G.-C.); (A.R.-B.); (A.A.-V.); (A.P.-L.)
- Correspondence: ; Tel.: +34-96-124-6713
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Metabolic Effects of Recurrent Genetic Aberrations in Multiple Myeloma. Cancers (Basel) 2021; 13:cancers13030396. [PMID: 33494394 PMCID: PMC7865460 DOI: 10.3390/cancers13030396] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/15/2021] [Accepted: 01/18/2021] [Indexed: 12/17/2022] Open
Abstract
Oncogene activation and malignant transformation exerts energetic, biosynthetic and redox demands on cancer cells due to increased proliferation, cell growth and tumor microenvironment adaptation. As such, altered metabolism is a hallmark of cancer, which is characterized by the reprogramming of multiple metabolic pathways. Multiple myeloma (MM) is a genetically heterogeneous disease that arises from terminally differentiated B cells. MM is characterized by reciprocal chromosomal translocations that often involve the immunoglobulin loci and a restricted set of partner loci, and complex chromosomal rearrangements that are associated with disease progression. Recurrent chromosomal aberrations in MM result in the aberrant expression of MYC, cyclin D1, FGFR3/MMSET and MAF/MAFB. In recent years, the intricate mechanisms that drive cancer cell metabolism and the many metabolic functions of the aforementioned MM-associated oncogenes have been investigated. Here, we discuss the metabolic consequences of recurrent chromosomal translocations in MM and provide a framework for the identification of metabolic changes that characterize MM cells.
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da Silva IDCG, de Castro Levatti EV, Pedroso AP, Marchioni DML, Carioca AAF, Colleoni GWB. Biochemical phenotyping of multiple myeloma patients at diagnosis reveals a disorder of mitochondrial complexes I and II and a Hartnup-like disturbance as underlying conditions, also influencing different stages of the disease. Sci Rep 2020; 10:21836. [PMID: 33318510 PMCID: PMC7736334 DOI: 10.1038/s41598-020-75862-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 10/20/2020] [Indexed: 02/08/2023] Open
Abstract
The aim of this study was to identify novel plasma metabolic signatures with possible relevance during multiple myeloma (MM) development and progression. A biochemical quantitative phenotyping platform based on targeted electrospray ionization tandem mass spectrometry technology was used to aid in the identification of any eventual perturbed biochemical pathway in peripheral blood plasma from 36 MM patients and 73 healthy controls. Our results showed that MM cases present an increase in short and medium/long-chain species of acylcarnitines resembling Multiple AcylCoA Dehydrogenase Deficiency (MADD), particularly, associated with MM advanced International Staging System (ISS). Lipids profile showed lower concentrations of phosphatidylcholine (PC), lysophosphatidylcholine (LPC) and sphingomyelins (SM) in the MM patients and its respective ISS groups. MM cases were accompanied by a drop in the concentration of essential amino acids, especially tryptophan, with a significant inverse correlation between the progressive drop in tryptophan with the elevation of β2-microglobulin, with the increase in systemic methylation levels (Symmetric Arginine Dimethylation, SDMA) and with the accumulation of esterified carnitines in relation to free carnitine (AcylC/C0). Serotonin was significantly elevated in cases of MM, without a clear association with ISS. Kynurenine/tryptophan ratio demonstrates that the activity of dioxigenases is even higher in the cases classified as ISS 3. In conclusion, our study showed that MM patients at diagnosis showed metabolic disorders resembling both mitochondrial complexes I and II and Hartnup-like disturbances as underlying conditions, also influencing different stages of the disease.
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Affiliation(s)
| | | | - Amanda Paula Pedroso
- Departament of Physiology, Paulista School of Medicine, Federal University of São Paulo, São Paulo, Brazil
| | | | - Antonio Augusto Ferreira Carioca
- Nutrition Department, School of Public Health, University of São Paulo (MUSP), São Paulo, Brazil.,Nutrition Department, University of Fortaleza (UNIFOR), Fortaleza, Brazil
| | - Gisele Wally Braga Colleoni
- Department of Clinical and Experimental Oncology, Paulista School of Medicine, Federal University of São Paulo, São Paulo, Brazil.
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Zhao R, Xie Y, Yang B, Wang C, Huang Q, Han Y, Yang L, Yan S, Wang X, Fu C, Wu D, Wu X. Identification of metabolic biomarkers to predict treatment outcome and disease progression in multiple myeloma. Am J Cancer Res 2020; 10:3935-3946. [PMID: 33294278 PMCID: PMC7716146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 08/22/2020] [Indexed: 06/12/2023] Open
Abstract
The relationship between metabolites and multiple myeloma (MM) is becoming a research focus in the field. In this study, we performed metabolic profiling of multiple myeloma and identified potential metabolites associated with clinical characteristics, therapeutic efficacy, and prognosis of the disease. Fifty-five patients with newly-diagnosed multiple myeloma and thirty-seven healthy controls from August 2016 to October 2017 were randomly collected. The serum metabolic profiling was investigated by gas chromatography-mass spectrometry (GC-MS) technique and underwent statistical analysis. Twenty-seven metabolites were found to be significantly different between healthy controls and multiple myeloma patients. Eleven metabolites were significantly elevated, while sixteen metabolites were decreased in the multiple myeloma population. Metabolic changes were also observed in patients with renal impairment and bone destruction. Levels of urea were significantly decreased after treatment while levels of hypotaurine showed significant increase in the good-effect group (P<0.05), but not in the no-good-effect group (P>0.05). In multivariate statistical analyses, high cysteine and high hypotaurine are independent risk factors for poor treatment outcome. After adjustment for critical clinical characteristics, patients with high levels of glycolic acid and xylitol were found to be less likely to experience disease progression. Multiple myeloma demonstrates different metabolic characteristics compared with the healthy population. Among multiple myeloma patients, renal impairment and bone destruction showed additional metabolic characteristics. Cysteine and hypotaurine have value in predicting the treatment outcome, while glycolic acid and xylitol may be important prognostic factors for multiple myeloma.
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Affiliation(s)
- Ranran Zhao
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Yiyu Xie
- Yale New Haven Health/Bridgeport HospitalBridgeport, USA
| | - Bingyu Yang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Chang Wang
- School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Jiangsu Provincial Key Laboratory of Radiation Medicine and ProtectionSuzhou, China
| | - Qianlei Huang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Yue Han
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Lulu Yang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Shuang Yan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Xiaogang Wang
- Department of Mathematics and Statistics, York UniversityToronto, Canada
| | - Chengcheng Fu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Depei Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
| | - Xiaojin Wu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow UniversitySuzhou, China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow UniversitySuzhou, China
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Kim S, Jang WJ, Yu H, Kim J, Lee SK, Jeong CH, Lee S. Revealing Metabolic Perturbation Following Heavy Methamphetamine Abuse by Human Hair Metabolomics and Network Analysis. Int J Mol Sci 2020; 21:E6041. [PMID: 32839415 PMCID: PMC7503996 DOI: 10.3390/ijms21176041] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 12/13/2022] Open
Abstract
Methamphetamine (MA) is a highly addictive central nervous system stimulant. Drug addiction is not a static condition but rather a chronically relapsing disorder. Hair is a valuable and stable specimen for chronic toxicological monitoring as it retains toxicants and metabolites. The primary focus of this study was to discover the metabolic effects encompassing diverse pathological symptoms of MA addiction. Therefore, metabolic alterations were investigated in human hair following heavy MA abuse using both targeted and untargeted mass spectrometry and through integrated network analysis. The statistical analyses (t-test, variable importance on projection score, and receiver-operator characteristic curve) demonstrated that 32 metabolites (in targeted metabolomics) as well as 417 and 224 ion features (in positive and negative ionization modes of untargeted metabolomics, respectively) were critically dysregulated. The network analysis showed that the biosynthesis or metabolism of lipids, such as glycosphingolipids, sphingolipids, glycerophospholipids, and ether lipids, as well as the metabolism of amino acids (glycine, serine and threonine; cysteine and methionine) is affected by heavy MA abuse. These findings reveal crucial metabolic effects caused by MA addiction, with emphasis on the value of human hair as a diagnostic specimen for determining drug addiction, and will aid in identifying robust diagnostic markers and therapeutic targets.
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Affiliation(s)
- Suji Kim
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Won-Jun Jang
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Hyerim Yu
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Jihyun Kim
- National Forensic Service, 10, Ipchun-ro, Wonju, Gangwon-do 26460, Korea; (J.K.); (S.-K.L.)
| | - Sang-Ki Lee
- National Forensic Service, 10, Ipchun-ro, Wonju, Gangwon-do 26460, Korea; (J.K.); (S.-K.L.)
| | - Chul-Ho Jeong
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
| | - Sooyeun Lee
- College of Pharmacy, Keimyung University, 1095 Dalgubeoldaero, Dalseo-gu, Daegu 42601, Korea; (S.K.); (W.-J.J.); (H.Y.)
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Gonsalves WI, Broniowska K, Jessen E, Petterson XM, Bush AG, Gransee J, Lacy MQ, Hitosugi T, Kumar SK. Metabolomic and Lipidomic Profiling of Bone Marrow Plasma Differentiates Patients with Monoclonal Gammopathy of Undetermined Significance from Multiple Myeloma. Sci Rep 2020; 10:10250. [PMID: 32581232 PMCID: PMC7314797 DOI: 10.1038/s41598-020-67105-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 06/02/2020] [Indexed: 11/08/2022] Open
Abstract
Oncogenic drivers of progression of monoclonal gammopathy of undetermined significance (MGUS) to multiple myeloma (MM) such as c-MYC have downstream effects on intracellular metabolic pathways of clonal plasma cells (PCs). Thus, extracellular environments such as the bone marrow (BM) plasma likely have unique metabolite profiles that differ from patients with MGUS compared to MM. This study utilized an untargeted metabolite and targeted complex lipid profiling of BM plasma to identify significant differences in the relative metabolite levels between patients with MGUS and MM from an exploratory cohort. This was followed by verification of some of the metabolite differences of interest by targeted quantification of the metabolites using isotopic internal standards in the exploratory cohort as well as an independent validation cohort. Significant differences were noted in the amino acid profiles such as decreased branch chain amino acids (BCAAs) and increased catabolism of tryptophan to the active kynurenine metabolite 3-hydroxy-kynurenine between patients with MGUS and MM. A decrease in the total levels of complex lipids such as phosphatidylethanolamines (PE), lactosylceramides (LCER) and phosphatidylinositols (PI) were also detected in the BM plasma samples from MM compared to MGUS patients. Thus, metabolite and complex lipid profiling of the BM plasma identifies differences in levels of metabolites and lipids between patients with MGUS and MM. This may provide insight into the possible differences of the intracellular metabolic pathways of their clonal PCs.
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Affiliation(s)
| | | | - Erik Jessen
- Biostatistics and Informatics, Mayo Clinic, Rochester, MN, United States
| | - Xuan-Mai Petterson
- Endocrinology and the Department of Oncology, Mayo Clinic, Rochester, MN, United States
| | - Alexander Graham Bush
- Endocrinology and the Department of Oncology, Mayo Clinic, Rochester, MN, United States
| | - Jaimee Gransee
- Endocrinology and the Department of Oncology, Mayo Clinic, Rochester, MN, United States
| | - Martha Q Lacy
- The Division of Hematology, Mayo Clinic, Rochester, MN, United States
| | - Taro Hitosugi
- Molecular Therapeutics, Mayo Clinic, Rochester, MN, United States
| | - Shaji K Kumar
- The Division of Hematology, Mayo Clinic, Rochester, MN, United States
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New Markers of Renal Failure in Multiple Myeloma and Monoclonal Gammopathies. J Clin Med 2020; 9:jcm9061652. [PMID: 32486490 PMCID: PMC7355449 DOI: 10.3390/jcm9061652] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 05/22/2020] [Accepted: 05/23/2020] [Indexed: 01/18/2023] Open
Abstract
* Correspondence: kasiajanda@op [...].
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Mohamed A, Collins J, Jiang H, Molendijk J, Stoll T, Torta F, Wenk MR, Bird RJ, Marlton P, Mollee P, Markey KA, Hill MM. Concurrent lipidomics and proteomics on malignant plasma cells from multiple myeloma patients: Probing the lipid metabolome. PLoS One 2020; 15:e0227455. [PMID: 31914155 PMCID: PMC6948732 DOI: 10.1371/journal.pone.0227455] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/18/2019] [Indexed: 12/31/2022] Open
Abstract
Background Multiple myeloma (MM) is a hematological malignancy characterized by the clonal expansion of malignant plasma cells. Though durable remissions are possible, MM is considered incurable, with relapse occurring in almost all patients. There has been limited data reported on the lipid metabolism changes in plasma cells during MM progression. Here, we evaluated the feasibility of concurrent lipidomics and proteomics analyses from patient plasma cells, and report these data on a limited number of patient samples, demonstrating the feasibility of the method, and establishing hypotheses to be evaluated in the future. Methods Plasma cells were purified from fresh bone marrow aspirates using CD138 microbeads. Proteins and lipids were extracted using a bi-phasic solvent system with methanol, methyl tert-butyl ether, and water. Untargeted proteomics, untargeted and targeted lipidomics were performed on 7 patient samples using liquid chromatography-mass spectrometry. Two comparisons were conducted: high versus low risk; relapse versus newly diagnosed. Proteins and pathways enriched in the relapsed group was compared to a public transcriptomic dataset from Multiple Myeloma Research Consortium reference collection (n = 222) at gene and pathways level. Results From one million purified plasma cells, we were able to extract material and complete untargeted (~6000 and ~3600 features in positive and negative mode respectively) and targeted lipidomics (313 lipids), as well as untargeted proteomics analysis (~4100 reviewed proteins). Comparative analyses revealed limited differences between high and low risk groups (according to the standard clinical criteria), hence we focused on drawing comparisons between the relapsed and newly diagnosed patients. Untargeted and targeted lipidomics indicated significant down-regulation of phosphatidylcholines (PCs) in relapsed MM. Although there was limited overlap of the differential proteins/transcripts, 76 significantly enriched pathways in relapsed MM were common between proteomics and transcriptomics data. Further evaluation of transcriptomics data for lipid metabolism network revealed enriched correlation of PC, ceramide, cardiolipin, arachidonic acid and cholesterol metabolism pathways to be exclusively correlated among relapsed but not in newly-diagnosed patients. Conclusions This study establishes the feasibility and workflow to conduct integrated lipidomics and proteomics analyses on patient-derived plasma cells. Potential lipid metabolism changes associated with MM relapse warrant further investigation.
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Affiliation(s)
- Ahmed Mohamed
- The University of Queensland Diamantina Institute, Faculty of Medicine, University of Queensland, Woolloongabba, Brisbane, Australia
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Joel Collins
- Princess Alexandra Hospital, Division of Cancer Care Services, Department of Haematology, Woolloongabba, Brisbane, Australia
- Toowoomba Hospital, Cancer Care Services, Toowoomba, Australia
- The University of Queensland Faculty of Medicine, Brisbane, Australia
| | - Hui Jiang
- The University of Queensland Diamantina Institute, Faculty of Medicine, University of Queensland, Woolloongabba, Brisbane, Australia
| | - Jeffrey Molendijk
- The University of Queensland Diamantina Institute, Faculty of Medicine, University of Queensland, Woolloongabba, Brisbane, Australia
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Thomas Stoll
- The University of Queensland Diamantina Institute, Faculty of Medicine, University of Queensland, Woolloongabba, Brisbane, Australia
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Federico Torta
- Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Markus R. Wenk
- Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Robert J. Bird
- Princess Alexandra Hospital, Division of Cancer Care Services, Department of Haematology, Woolloongabba, Brisbane, Australia
| | - Paula Marlton
- Princess Alexandra Hospital, Division of Cancer Care Services, Department of Haematology, Woolloongabba, Brisbane, Australia
- The University of Queensland Faculty of Medicine, Brisbane, Australia
| | - Peter Mollee
- Princess Alexandra Hospital, Division of Cancer Care Services, Department of Haematology, Woolloongabba, Brisbane, Australia
- The University of Queensland Faculty of Medicine, Brisbane, Australia
| | - Kate A. Markey
- Princess Alexandra Hospital, Division of Cancer Care Services, Department of Haematology, Woolloongabba, Brisbane, Australia
- The University of Queensland Faculty of Medicine, Brisbane, Australia
- SLING, Department of Biochemistry, National University of Singapore, Singapore
| | - Michelle M. Hill
- The University of Queensland Diamantina Institute, Faculty of Medicine, University of Queensland, Woolloongabba, Brisbane, Australia
- QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
- * E-mail:
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Ho M, Bianchi G, Anderson KC. Proteomics-inspired precision medicine for treating and understanding multiple myeloma. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2020; 5:67-85. [PMID: 34414281 DOI: 10.1080/23808993.2020.1732205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Introduction Remarkable progress in molecular characterization methods has led to significant improvements in how we manage multiple myeloma (MM). The introduction of novel therapies has led to significant improvements in overall survival over the past 10 years. However, MM remains incurable and treatment choice is largely based on outdated risk-adaptive strategies that do not factor in improved treatment outcomes in the context of modern therapies. Areas covered This review discusses current risk-adaptive strategies in MM and the clinical application of proteomics in the monitoring of treatment response, disease progression, and minimal residual disease (MRD). We also discuss promising biomarkers of disease progression, treatment response, and chemoresistance. Finally, we will discuss an immunomics-based approach to monoclonal antibody (mAb), vaccine, and CAR-T cell development. Expert opinion It is an exciting era in oncology with basic scientific knowledge translating in novel therapeutic approaches to improve patient outcomes. With the advent of effective immunotherapies and targeted therapies, it has become crucial to identify biomarkers to aid in the stratification of patients based on anticipated sensitivity to chemotherapy. As a paradigm of diseases highly dependent on protein homeostasis, multiple myeloma provides the perfect opportunity to investigate the use of proteomics to aid in precision medicine.
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Affiliation(s)
- Matthew Ho
- UCD School of Medicine, College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Giada Bianchi
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Kenneth C Anderson
- LeBow Institute for Myeloma Therapeutics and Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
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Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma. Sci Rep 2019; 9:7975. [PMID: 31138828 PMCID: PMC6538619 DOI: 10.1038/s41598-019-44215-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 05/09/2019] [Indexed: 02/07/2023] Open
Abstract
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and monitoring of MM patients is based on bone marrow biopsies and detection of abnormal immunoglobulin in serum and/or urine. However, biopsies have a single-site bias; thus, new diagnostic tests and early detection strategies are needed. Matrix-Assisted Laser Desorption/Ionization Time-of Flight Mass Spectrometry (MALDI-TOF MS) is a powerful method that found its applications in clinical diagnostics. Artificial intelligence approaches, such as Artificial Neural Networks (ANNs), can handle non-linear data and provide prediction and classification of variables in multidimensional datasets. In this study, we used MALDI-TOF MS to acquire low mass profiles of peripheral blood plasma obtained from MM patients and healthy donors. Informative patterns in mass spectra served as inputs for ANN that specifically predicted MM samples with high sensitivity (100%), specificity (95%) and accuracy (98%). Thus, mass spectrometry coupled with ANN can provide a minimally invasive approach for MM diagnostics.
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The L-Type Amino Acid Transporter LAT1-An Emerging Target in Cancer. Int J Mol Sci 2019; 20:ijms20102428. [PMID: 31100853 PMCID: PMC6566973 DOI: 10.3390/ijms20102428] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/10/2019] [Accepted: 05/14/2019] [Indexed: 12/11/2022] Open
Abstract
Chronic proliferation is a major hallmark of tumor cells. Rapidly proliferating cancer cells are highly dependent on nutrients in order to duplicate their cell mass during each cell division. In particular, essential amino acids are indispensable for proliferating cancer cells. Their uptake across the cell membrane is tightly controlled by membrane transporters. Among those, the L-type amino acid transporter LAT1 (SLC7A5) has been repeatedly found overexpressed in a vast variety of cancers. In this review, we summarize the most recent advances in our understanding of the role of LAT1 in cancer and highlight preclinical studies and drug developments underlying the potential of LAT1 as therapeutic target.
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Milczarek M, Czopowicz M, Szaluś-Jordanow O, Witkowski L, Nalbert T, Markowska-Daniel I, Bagnicka E, Puchała R, Kosieradzka I, Kaba J. Metabolomic profile of young male goats seropositive to small ruminant lentivirus – A longitudinal study. Small Rumin Res 2019. [DOI: 10.1016/j.smallrumres.2019.03.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Li X, Guo Y, Kuang X, Zhao L, Li H, Cheng B, Wang W, Zhang Z, Liu P, Wang J. Histone deacetylase inhibitor LMK-235-mediated HO-1 expression induces apoptosis in multiple myeloma cells via the JNK/AP-1 signaling pathway. Life Sci 2019; 223:146-157. [PMID: 30876940 DOI: 10.1016/j.lfs.2019.03.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 02/23/2019] [Accepted: 03/07/2019] [Indexed: 11/18/2022]
Abstract
AIMS Histone deacetylase inhibitors (HDACis) are promising anticancer drugs that open new areas of epigenetic drug discovery. Multiple myeloma (MM) is a malignant tumor of the blood system that is difficult to cure and often relapses. Here, we investigated the in vitro effects of a novel HDACi, LMK-235, on MM cells, and explored the underlying mechanisms. MAIN METHODS Real-time PCR and western blot were used to measure the expression of HDAC4 and HO-1 in MM cells treated with LMK-235. si-RNA was used to transfect MM cells. Hemin or ZnPP was combined to regulate heme oxygenase-1 (HO-1), and a pathway inhibitor was added to measure changes in the JNK/AP-1 signaling pathway. Apoptosis and proliferation were assessed by flow cytometry and CCK-8 assay, respectively. KEY FINDINGS We found that LMK-235, a selective inhibitor of class IIA HDAC4/5, induced apoptosis of MM cells by downregulating HO-1 that is closely related to HDAC4. LMK-235 increased phosphorylation of JNK and c -Jun in MM cells. Downregulation of HO-1 expression in combination with LMK-235 expression further activated phosphorylation of JNK and c-Jun and induced apoptosis in MM cells. When the JNK inhibitor SP600125 was used in combination, the apoptosis phenomenon was reversed. However, when HO-1 was upregulated, LMK-235-mediated phosphorylation of JNK and c-Jun was inhibited, and apoptosis of MM cells began to decrease. SIGNIFICANCE These data suggest that LMK-235 has potent anti-myeloma activity through regulation of HO-1-induced apoptosis via the JNK/AP-1 pathway. This provides a new concept for the treatment of multiple myeloma.
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Affiliation(s)
- Xinyao Li
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Yongling Guo
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Xingyi Kuang
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Lu Zhao
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Hongsong Li
- Linyi Central Hospital, Linyi, Shandong, China
| | - Bingqing Cheng
- Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Weili Wang
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Zhaoyuan Zhang
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Ping Liu
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China
| | - Jishi Wang
- Guizhou Medical University, Guiyang, Guizhou, China; Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Guizhou Province Laboratory of Haematopoietic Stem Cell Transplantation Center, Guiyang, Guizhou, China.
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Rizzieri D, Paul B, Kang Y. Metabolic alterations and the potential for targeting metabolic pathways in the treatment of multiple myeloma. ACTA ACUST UNITED AC 2019; 5. [PMID: 31020046 PMCID: PMC6476731 DOI: 10.20517/2394-4722.2019.05] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Metabolism is defined as the collection of complex biochemical processes that living cells use to generate energy and maintain their growth and survival. Metabolism encompasses the synthesis and breakdown of glucose, fatty acids, and amino acids; the generation of energy (ATP); and oxidative phosphorylation. In cancer cells, metabolism can be commandeered to promote tumor growth and cellular proliferation. These alterations in metabolism have emerged as an additional hallmark of various cancers. In this review we focus on metabolic alterations in multiple myeloma (MM) - a malignancy of plasma cells - including derangements in glycolysis, gluconeogenesis, the tricarboxylic acid cycle, oxidative phosphorylation, and fatty acid/amino acid synthesis and degradation. Particular focus is given to metabolic alterations that contribute to myeloma cell growth, proliferation and drug resistance. Finally, novel approaches that target metabolic pathways for the treatment of MM are discussed.
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Affiliation(s)
- Dustin Rizzieri
- Division of Hematological Malignancies and Cellular Therapy, Duke University Medical Center, Durham, NC 27710, USA
| | - Barry Paul
- Division of Hematological Malignancies and Cellular Therapy, Duke University Medical Center, Durham, NC 27710, USA
| | - Yubin Kang
- Division of Hematological Malignancies and Cellular Therapy, Duke University Medical Center, Durham, NC 27710, USA
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