Literature DB >> 28914192

Current Trends in Cancer Biomarker Discovery Using Urinary Metabolomics: Achievements and New Challenges.

Casey Burton1, Yinfa Ma1.   

Abstract

BACKGROUND: The development of effective screening methods for early cancer detection is one of the foremost challenges facing modern cancer research. Urinary metabolomics has recently emerged as a potentially transformative approach to cancer biomarker discovery owing to its noninvasive sampling characteristics and robust analytical feasibility.
OBJECTIVE: To provide an overview of new developments in urinary metabolomics, cover the most promising aspects of hyphenated techniques in untargeted and targeted metabolomics, and to discuss technical and clinical limitations in addition to the emerging challenges in the field of urinary metabolomics and its application to cancer biomarker discovery.
METHODS: A systematic review of research conducted in the past five years on the application of urinary metabolomics to cancer biomarker discovery was performed. Given the breadth of this topic, our review focused on the five most widely studied cancers employing urinary metabolomics approaches, including lung, breast, bladder, prostate, and ovarian cancers.
RESULTS: As an extension of conventional metabolomics, urinary metabolomics has benefitted from recent technological developments in nuclear magnetic resonance, mass spectrometry, gas and liquid chromatography, and capillary electrophoresis that have improved urine metabolome coverage and analytical reproducibility. Extensive metabolic profiling in urine has revealed a significant number of altered metabolic pathways and putative biomarkers, including pteridines, modified nucleosides, and acylcarnitines, that have been associated with cancer development and progression.
CONCLUSION: Urinary metabolomics presents a transformative new approach toward cancer biomarker discovery with high translational capacity to early cancer screening. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Cancer biomarkers; biomarker development; hyphenated techniques; metabolomics; urinary biomarkers; urinary metabolites.

Mesh:

Substances:

Year:  2019        PMID: 28914192     DOI: 10.2174/0929867324666170914102236

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  12 in total

1.  Establishing pteridine metabolism in a progressive isogenic breast cancer cell model - part II.

Authors:  Lindsey Rasmussen; Zachary Foulks; Jiandong Wu; Casey Burton; Honglan Shi
Journal:  Metabolomics       Date:  2022-04-28       Impact factor: 4.290

2.  UHMK1 promotes gastric cancer progression through reprogramming nucleotide metabolism.

Authors:  Xing Feng; Dong Ma; Jiabao Zhao; Yongxi Song; Xuehui Hong; Zhiyong Zhang; Yuekun Zhu; Qingxin Zhou; Fei Ma; Xing Liu; Mengya Zhong; Yu Liu; Yubo Xiong; Xingfeng Qiu; Zhen Zhang; Heng Zhang; Yongxiang Zhao; Kaiguang Zhang
Journal:  EMBO J       Date:  2020-01-23       Impact factor: 11.598

3.  Clinical significance of circulating tumor cells and metabolic signatures in lung cancer after surgical removal.

Authors:  Dawei Yang; Xiaofang Yang; Yang Li; Peige Zhao; Rao Fu; Tianying Ren; Ping Hu; Yaping Wu; Hongjun Yang; Na Guo
Journal:  J Transl Med       Date:  2020-06-17       Impact factor: 5.531

4.  Translational Metabolomics: Current Challenges and Future Opportunities.

Authors:  Farhana R Pinu; Seyed Ali Goldansaz; Jacob Jaine
Journal:  Metabolites       Date:  2019-06-06

Review 5.  Metabolomics profile in gastrointestinal cancers: Update and future perspectives.

Authors:  Giulia Nannini; Gaia Meoni; Amedeo Amedei; Leonardo Tenori
Journal:  World J Gastroenterol       Date:  2020-05-28       Impact factor: 5.742

Review 6.  Metabolic Phenotyping in Prostate Cancer Using Multi-Omics Approaches.

Authors:  Nuria Gómez-Cebrián; José Luis Poveda; Antonio Pineda-Lucena; Leonor Puchades-Carrasco
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

7.  Development of a prognostic pyroptosis-related gene signature for head and neck squamous cell carcinoma patient.

Authors:  Weiwen Zhu; Jiayi Zhang; Mengyao Wang; Rundong Zhai; Yanbin Xu; Jie Wang; Mengqi Wang; Hang Zhang; Laikui Liu
Journal:  Cancer Cell Int       Date:  2022-02-05       Impact factor: 5.722

8.  Metabolomics of Non-muscle Invasive Bladder Cancer: Biomarkers for Early Detection of Bladder Cancer.

Authors:  Xiangming Cheng; Xiaoyan Liu; Xiang Liu; Zhengguang Guo; Haidan Sun; Mingxin Zhang; Zhigang Ji; Wei Sun
Journal:  Front Oncol       Date:  2018-11-02       Impact factor: 6.244

9.  Evaluation of heavy metals and metabolites in the urine of patients with breast cancer.

Authors:  Yuhao Men; Ling Li; Fen Zhang; Xueyuan Kong; Weidong Zhang; Chongli Hao; Guotian Wang
Journal:  Oncol Lett       Date:  2019-12-11       Impact factor: 2.967

10.  Clinical importance of serum secreted clusterin in predicting invasive breast cancer and treatment responses.

Authors:  Qing-Feng Chen; Lei Chang; Qun Su; Ying Zhao; Bin Kong
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

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