Literature DB >> 23873687

Multiple myeloma patients have a specific serum metabolomic profile that changes after achieving complete remission.

Leonor Puchades-Carrasco1, Ramón Lecumberri, Joaquín Martínez-López, Juan-José Lahuerta, María-Victoria Mateos, Felipe Prósper, Jesús F San-Miguel, Antonio Pineda-Lucena.   

Abstract

PURPOSE: Multiple myeloma remains an incurable disease. New approaches to develop better tools for improving patient prognostication and monitoring treatment efficacy are very much needed. In this study, we aimed to evaluate the potential of metabolomics by (1)H-NMR to provide information on metabolic profiles that could be useful in the management of multiple myeloma. EXPERIMENTAL
DESIGN: Serum samples were collected from multiple myeloma patients at the time of diagnosis and after achieving complete remission. A matched control set of samples was also included in the study. The (1)H-NMR measurements used to obtain the metabolic profile for each patient were followed by the application of univariate and multivariate statistical analyses to determine significant differences.
RESULTS: Metabolic profiles of multiple myeloma patients at diagnosis exhibited higher levels of isoleucine, arginine, acetate, phenylalanine, and tyrosine, and decreased levels of 3-hydroxybutyrate, lysine, glutamine, and some lipids compared with the control set. A similar analysis conducted in multiple myeloma patients after achieving complete remission indicated that some of the metabolic changes (i.e., glutamine, cholesterol, lysine) observed at diagnosis displayed a variation in the opposite direction upon responding to treatment, thus contributing to multiple myeloma patients having a closer metabolic profile to those of healthy individuals after the disappearance of major disease manifestations.
CONCLUSIONS: The results highlight the potential of metabolic profiles obtained by 1H-NMR in identifying multiple myeloma biomarkers that may be useful to objectively discriminate individuals with and without multiple myeloma, and monitor response to treatment. ©2013 AACR.

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Year:  2013        PMID: 23873687     DOI: 10.1158/1078-0432.CCR-12-2917

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  28 in total

1.  Glutamine-derived 2-hydroxyglutarate is associated with disease progression in plasma cell malignancies.

Authors:  Wilson I Gonsalves; Vijay Ramakrishnan; Taro Hitosugi; Toshi Ghosh; Dragan Jevremovic; Tumpa Dutta; Dhananjay Sakrikar; Xuan-Mai Petterson; Linda Wellik; Shaji K Kumar; K Sreekumaran Nair
Journal:  JCI Insight       Date:  2018-01-11

Review 2.  Role of Sphingolipids in Multiple Myeloma Progression, Drug Resistance, and Their Potential as Therapeutic Targets.

Authors:  Daniela N Petrusca; Kelvin P Lee; Deborah L Galson
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

3.  Targeted inhibition of tumor-specific glutaminase diminishes cell-autonomous tumorigenesis.

Authors:  Yan Xiang; Zachary E Stine; Jinsong Xia; Yunqi Lu; Roddy S O'Connor; Brian J Altman; Annie L Hsieh; Arvin M Gouw; Ajit G Thomas; Ping Gao; Linchong Sun; Libing Song; Benedict Yan; Barbara S Slusher; Jingli Zhuo; London L Ooi; Caroline G L Lee; Anthony Mancuso; Andrew S McCallion; Anne Le; Michael C Milone; Stephen Rayport; Dean W Felsher; Chi V Dang
Journal:  J Clin Invest       Date:  2015-04-27       Impact factor: 14.808

Review 4.  Liquid biopsy: an evolving paradigm for the biological characterisation of plasma cell disorders.

Authors:  Sridurga Mithraprabhu; Maoshan Chen; Ioanna Savvidou; Antonia Reale; Andrew Spencer
Journal:  Leukemia       Date:  2021-07-14       Impact factor: 11.528

5.  Alterations in bone marrow metabolism are an early and consistent feature during the development of MGUS and multiple myeloma.

Authors:  C Ludwig; D S Williams; D B Bartlett; S J Essex; G McNee; J W Allwood; E Jewell; A Barkhuisen; H Parry; S Anandram; P Nicolson; C Gardener; F Seymour; S Basu; W B Dunn; P A H Moss; G Pratt; D A Tennant
Journal:  Blood Cancer J       Date:  2015-10-16       Impact factor: 11.037

6.  Profiling of serum metabolites in canine lymphoma using gas chromatography mass spectrometry.

Authors:  Reo Tamai; Masaru Furuya; Shingo Hatoya; Hideo Akiyoshi; Ryohei Yamamoto; Yoshiaki Komori; Shin-ichi Yokoi; Kenichiro Tani; Yuji Hirano; Masayuki Komori; Shigeo Takenaka
Journal:  J Vet Med Sci       Date:  2014-08-13       Impact factor: 1.267

7.  Serum metabonomics of acute leukemia using nuclear magnetic resonance spectroscopy.

Authors:  Syed Ghulam Musharraf; Amna Jabbar Siddiqui; Tahir Shamsi; M Iqbal Choudhary; Atta-Ur Rahman
Journal:  Sci Rep       Date:  2016-08-02       Impact factor: 4.379

8.  Serum metabolomic profiling facilitates the non-invasive identification of metabolic biomarkers associated with the onset and progression of non-small cell lung cancer.

Authors:  Leonor Puchades-Carrasco; Eloisa Jantus-Lewintre; Clara Pérez-Rambla; Francisco García-García; Rut Lucas; Silvia Calabuig; Ana Blasco; Joaquín Dopazo; Carlos Camps; Antonio Pineda-Lucena
Journal:  Oncotarget       Date:  2016-03-15

9.  Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics.

Authors:  Emily G Armitage; Andrew D Southam
Journal:  Metabolomics       Date:  2016-08-16       Impact factor: 4.290

10.  Glutaminase inhibition in multiple myeloma induces apoptosis via MYC degradation.

Authors:  Madlen Effenberger; Kathryn S Bommert; Viktoria Kunz; Jessica Kruk; Ellen Leich; Martina Rudelius; Ralf Bargou; Kurt Bommert
Journal:  Oncotarget       Date:  2017-08-24
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