Literature DB >> 23638817

Metabolomics for tumor marker discovery and identification based on chromatography-mass spectrometry.

Peiyuan Yin1, Guowang Xu.   

Abstract

Early detection is the most effective way to improve the clinical outcome of malignancies. Although some tumor markers are now widely used in the clinic, their sensitivity and specificity are still not satisfactory. Thus, there is an urgent requirement for the discovery of new tumor markers. By measuring holistic endogenous metabolites, metabolomics can be used for delineating metabolic networks and discovering metabolic markers. Chromatography-mass spectrometry is the most widely used tool for metabolomics and has shown great potential for biomarker screening. In this review, the authors summarize: recent advances in the protocols and methodologies of chromatography-mass spectrometry-based metabolomics in the discovery of tumor markers; recently identified tumor metabolic markers for primary liver cancer, gynecologic cancer and genitourinary cancer and their applications; and commonly encountered problems in the translational research of metabolic markers.

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Year:  2013        PMID: 23638817     DOI: 10.1586/erm.13.23

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  9 in total

1.  Technical Challenges in Mass Spectrometry-Based Metabolomics.

Authors:  Fumio Matsuda
Journal:  Mass Spectrom (Tokyo)       Date:  2016-11-25

2.  Unique and Novel Urinary Metabolomic Features in Malignant versus Benign Adrenal Neoplasms.

Authors:  Dhaval Patel; Matthew D Thompson; Soumen K Manna; Kristopher W Krausz; Lisa Zhang; Naris Nilubol; Frank J Gonzalez; Electron Kebebew
Journal:  Clin Cancer Res       Date:  2017-04-27       Impact factor: 12.531

Review 3.  Nucleic Acid Aptamers: An Emerging Tool for Biotechnology and Biomedical Sensing.

Authors:  Ti-Hsuan Ku; Tiantian Zhang; Hua Luo; Tony M Yen; Ping-Wei Chen; Yuanyuan Han; Yu-Hwa Lo
Journal:  Sensors (Basel)       Date:  2015-07-06       Impact factor: 3.576

4.  Effects of pre-analytical processes on blood samples used in metabolomics studies.

Authors:  Peiyuan Yin; Rainer Lehmann; Guowang Xu
Journal:  Anal Bioanal Chem       Date:  2015-03-04       Impact factor: 4.142

Review 5.  Application of metabolomics in drug resistant breast cancer research.

Authors:  Ayesha N Shajahan-Haq; Mehar S Cheema; Robert Clarke
Journal:  Metabolites       Date:  2015-02-16

6.  A Comprehensive Analysis of Metabolomics and Transcriptomics in Cervical Cancer.

Authors:  Kai Yang; Bairong Xia; Wenjie Wang; Jinlong Cheng; Mingzhu Yin; Hongyu Xie; Junnan Li; Libing Ma; Chunyan Yang; Ang Li; Xin Fan; Harman S Dhillon; Yan Hou; Ge Lou; Kang Li
Journal:  Sci Rep       Date:  2017-02-22       Impact factor: 4.379

7.  Identification of novel neuroblastoma biomarkers in urine samples.

Authors:  Kazuki Yokota; Hiroo Uchida; Minoru Sakairi; Mayumi Abe; Yujiro Tanaka; Takahisa Tainaka; Chiyoe Shirota; Wataru Sumida; Kazuo Oshima; Satoshi Makita; Hizuru Amano; Akinari Hinoki
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

8.  Multi-Omics Analysis Revealed a Significant Alteration of Critical Metabolic Pathways Due to Sorafenib-Resistance in Hep3B Cell Lines.

Authors:  Kholoud Y I Abushawish; Sameh S M Soliman; Alexander D Giddey; Hamza M Al-Hroub; Muath Mousa; Karem H Alzoubi; Waseem El-Huneidi; Eman Abu-Gharbieh; Hany A Omar; Sara M Elgendy; Yasser Bustanji; Nelson C Soares; Mohammad H Semreen
Journal:  Int J Mol Sci       Date:  2022-10-09       Impact factor: 6.208

9.  Integrated analysis of transcriptomic and metabolomic data demonstrates the significant role of pyruvate carboxylase in the progression of ovarian cancer.

Authors:  Hongkai Shang; Jianfeng Zheng; Jinyi Tong
Journal:  Aging (Albany NY)       Date:  2020-11-07       Impact factor: 5.682

  9 in total

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