Literature DB >> 31696341

Clinical applications of breast cancer metabolomics using high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1H MRS): systematic scoping review.

Almir G V Bitencourt1,2, Johanna Goldberg3, Katja Pinker1, Sunitha B Thakur4,5.   

Abstract

INTRODUCTION: Breast cancer is a heterogeneous disease with different prognoses and responses to systemic treatment depending on its molecular characteristics, which makes it imperative to develop new biomarkers for an individualized diagnosis and personalized oncological treatment. Ex vivo high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1H MRS) is the most common technique for metabolic quantification in human surgical and biopsy tissue specimens.
OBJECTIVE: To perform a review of the current available literature on the clinical applications of HRMAS 1H MRS metabolic analysis in tissue samples of breast cancer patients.
METHODS: This systematic scoping review included original research papers published in the English language in peer-reviewed journals. Study selection was performed independently by two reviewers and preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed.
RESULTS: The literature search returned 159 studies and 26 papers were included as part of this systematic review. There was considerable variation regarding tissue type, aims, and statistical analysis methods across the different studies. To facilitate the interpretation of the results, the included studies were grouped according to their aims or main outcomes into: feasibility and tumor diagnosis (n = 6); tumor heterogeneity (n = 2); correlation with proteomics/transcriptomics (n = 3); correlation with prognostic factors (n = 11); and response evaluation to NAC (n = 4).
CONCLUSION: There is a lot of potential in including metabolic information of breast cancer tissue obtained with HRMAS 1H MRS. To date, studies show that metabolic concentrations quantified by this technique can be related to the diagnosis, prognosis, and treatment response in breast cancer patients.

Entities:  

Keywords:  Breast neoplasms; Magnetic resonance spectroscopy; Metabolomics

Mesh:

Year:  2019        PMID: 31696341     DOI: 10.1007/s11306-019-1611-5

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  43 in total

Review 1.  Magnetic resonance metabolomics of intact tissue: a biotechnological tool in cancer diagnostics and treatment evaluation.

Authors:  Tone F Bathen; Beathe Sitter; Torill E Sjøbakk; May-Britt Tessem; Ingrid S Gribbestad
Journal:  Cancer Res       Date:  2010-08-10       Impact factor: 12.701

2.  MR-determined metabolic phenotype of breast cancer in prediction of lymphatic spread, grade, and hormone status.

Authors:  Tone F Bathen; Line R Jensen; Beathe Sitter; Hans E Fjösne; Jostein Halgunset; David E Axelson; Ingrid S Gribbestad; Steinar Lundgren
Journal:  Breast Cancer Res Treat       Date:  2006-10-24       Impact factor: 4.872

Review 3.  Proton MR spectroscopy in the breast: Technical innovations and clinical applications.

Authors:  Reza Fardanesh; Maria Adele Marino; Daly Avendano; Doris Leithner; Katja Pinker; Sunitha B Thakur
Journal:  J Magn Reson Imaging       Date:  2019-03-07       Impact factor: 4.813

4.  Comparison of HR MAS MR spectroscopic profiles of breast cancer tissue with clinical parameters.

Authors:  Beathe Sitter; Steinar Lundgren; Tone F Bathen; Jostein Halgunset; Hans E Fjosne; Ingrid S Gribbestad
Journal:  NMR Biomed       Date:  2006-02       Impact factor: 4.044

Review 5.  Investigation of breast cancer using two-dimensional MRS.

Authors:  M Albert Thomas; Scott Lipnick; S Sendhil Velan; Xiaoyu Liu; Shida Banakar; Nader Binesh; Saadallah Ramadan; Art Ambrosio; Raymond R Raylman; James Sayre; Nanette DeBruhl; Lawrence Bassett
Journal:  NMR Biomed       Date:  2009-01       Impact factor: 4.044

Review 6.  Neoadjuvant Therapy for Breast Cancer as a Model for Translational Research.

Authors:  Cigdem Selli; Andrew H Sims
Journal:  Breast Cancer (Auckl)       Date:  2019-02-19

7.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

8.  Metabolic characterization of triple negative breast cancer.

Authors:  Maria D Cao; Santosh Lamichhane; Steinar Lundgren; Anna Bofin; Hans Fjøsne; Guro F Giskeødegård; Tone F Bathen
Journal:  BMC Cancer       Date:  2014-12-12       Impact factor: 4.430

9.  The Role of High-Resolution Magic Angle Spinning 1H Nuclear Magnetic Resonance Spectroscopy for Predicting the Invasive Component in Patients with Ductal Carcinoma In Situ Diagnosed on Preoperative Biopsy.

Authors:  Eun Young Chae; Hee Jung Shin; Suhkmann Kim; Hyeon-Man Baek; Dahye Yoon; Siwon Kim; Ye Eun Shim; Hak Hee Kim; Joo Hee Cha; Woo Jung Choi; Jeong Hyun Lee; Ji Hoon Shin; Hee Jin Lee; Gyungyub Gong
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

Review 10.  Nuclear Magnetic Resonance technique in tumor metabolism.

Authors:  Ting Li; Pengchi Deng
Journal:  Genes Dis       Date:  2016-12-13
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  1 in total

Review 1.  NMR and Metabolomics-A Roadmap for the Future.

Authors:  David S Wishart; Leo L Cheng; Valérie Copié; Arthur S Edison; Hamid R Eghbalnia; Jeffrey C Hoch; Goncalo J Gouveia; Wimal Pathmasiri; Robert Powers; Tracey B Schock; Lloyd W Sumner; Mario Uchimiya
Journal:  Metabolites       Date:  2022-07-23
  1 in total

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