Literature DB >> 23669185

Metabolomics in noninvasive breast cancer.

Ai-hua Zhang1, Hui Sun, Shi Qiu, Xi-jun Wang.   

Abstract

Breast cancer remains the most leading cause of death among women worldwide. Common methods for diagnosis and surveillance include mammography, histopathology and blood tests. The major drawback of mammography is the high rate of false reports, aside from the risk from repeated exposure to harmful ionizing radiations; histopathology is time consuming and often prone to subjective interpretations; blood-based tests are attractive, but lack the sensitivity and specificity. Obviously, more sensitive biomarkers for early detection and molecular targets for better treating breast cancer are urgently needed. Fortunately, molecular level 'omics' diagnosis is becoming increasingly popular; metabolomics, diagnosis based on 'metabolic fingerprinting' may provide clinically useful biomarkers applied toward identifying metabolic alterations and has introduced new insights into the pathology of breast cancer. By applying advanced analytical and statistical tools, metabolomics involves the comprehensive profiling of the full complement of low molecular weight compounds in a biological system and could classify the basis of tumor biology of breast cancer, to identify new prognostic and predictive markers and discover new targets for future therapeutic interventions. This advanced bioanalytic methods may now open new avenues for diagnostics in cancer via discovery of biomarkers. In this review we take a closer look at the metabolomics used within the field of breast cancer diagnosis. Further, we highlight the most interesting metabolomics publications and discuss these in detail; additional studies are mentioned as a reference for the interested reader. A general trend is an increased focus on biological interpretation rather than merely the ability to classify samples.
Copyright © 2013 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Breast cancer; Early diagnosis; Metabolites; Metabolomics

Mesh:

Substances:

Year:  2013        PMID: 23669185     DOI: 10.1016/j.cca.2013.05.003

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  30 in total

1.  Metabolomics study of type 2 diabetes using ultra-performance LC-ESI/quadrupole-TOF high-definition MS coupled with pattern recognition methods.

Authors:  Ai-hua Zhang; Hui Sun; Guang-li Yan; Ye Yuan; Ying Han; Xi-jun Wang
Journal:  J Physiol Biochem       Date:  2013-08-24       Impact factor: 4.158

2.  Breast cancer risk in relation to plasma metabolites among Hispanic and African American women.

Authors:  Hua Zhao; Jie Shen; Steven C Moore; Yuanqing Ye; Xifeng Wu; Francisco J Esteva; Debasish Tripathy; Wong-Ho Chow
Journal:  Breast Cancer Res Treat       Date:  2019-02-15       Impact factor: 4.872

Review 3.  Potential role of metabolomics in diagnosis and surveillance of gastric cancer.

Authors:  Angela W Chan; Richdeep S Gill; Daniel Schiller; Michael B Sawyer
Journal:  World J Gastroenterol       Date:  2014-09-28       Impact factor: 5.742

4.  Metabolic Response to XD14 Treatment in Human Breast Cancer Cell Line MCF-7.

Authors:  Daqiang Pan; Michel Kather; Lucas Willmann; Manuel Schlimpert; Christoph Bauer; Simon Lagies; Karin Schmidtkunz; Steffen U Eisenhardt; Manfred Jung; Stefan Günther; Bernd Kammerer
Journal:  Int J Mol Sci       Date:  2016-10-24       Impact factor: 5.923

5.  Implementing a central composite design for the optimization of solid phase microextraction to establish the urinary volatomic expression: a first approach for breast cancer.

Authors:  Catarina L Silva; Rosa Perestrelo; Pedro Silva; Helena Tomás; José S Câmara
Journal:  Metabolomics       Date:  2019-04-17       Impact factor: 4.290

Review 6.  Translational metabolomics in cancer research.

Authors:  Nathaniel W Snyder; Clementina Mesaros; Ian A Blair
Journal:  Biomark Med       Date:  2015-09-01       Impact factor: 2.851

7.  Laser-induced choroidal neovascularization model to study age-related macular degeneration in mice.

Authors:  Vincent Lambert; Julie Lecomte; Sylvain Hansen; Silvia Blacher; Maria-Luz Alvarez Gonzalez; Ingrid Struman; Nor Eddine Sounni; Eric Rozet; Pascal de Tullio; Jean Michel Foidart; Jean-Marie Rakic; Agnès Noel
Journal:  Nat Protoc       Date:  2013-10-17       Impact factor: 13.491

8.  Dissection of Biological Property of Chinese Acupuncture Point Zusanli Based on Long-Term Treatment via Modulating Multiple Metabolic Pathways.

Authors:  Guangli Yan; Aihua Zhang; Hui Sun; Weiping Cheng; Xiangcai Meng; Li Liu; Yingzhi Zhang; Ning Xie; Xijun Wang
Journal:  Evid Based Complement Alternat Med       Date:  2013-09-01       Impact factor: 2.629

9.  Study on Urinary Candidate Metabolome for the Early Detection of Breast Cancer.

Authors:  Faten Zahran; Ramzy Rashed; Mohamed Omran; Hossam Darwish; Arafa Belal
Journal:  Indian J Clin Biochem       Date:  2020-06-27

10.  Metabolic fingerprinting to understand therapeutic effects and mechanisms of silybin on acute liver damage in rat.

Authors:  Qun Liang; Cong Wang; Binbing Li; Ai-Hua Zhang
Journal:  Pharmacogn Mag       Date:  2015 Jul-Sep       Impact factor: 1.085

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.