Untargeted urine metabolite profiling by mass spectrometry aided by multivariate statistical analysis to predict prostate cancer treatment outcome-Reference-Cited by-同舟云学术

Untargeted urine metabolite profiling by mass spectrometry aided by multivariate statistical analysis to predict prostate cancer treatment outcome

Published:2022 Issue:13 Volume:147 Page:3043-3054
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Ma Yiwei¹,Zheng Zhaoyu²,Xu Sihang²,Attygalle Athula²,Kim Isaac Yi³,Du Henry¹^ORCID

Affiliation:

1. Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, NJ 07030, USA

2. Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ 07030, USA

3. Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Division of Urology, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08903, USA

Abstract

One of the key barriers to the prostate cancer is monitor treatment response. Here we described a conceptually new ‘MS-statistical analysis-metabolome’ strategy for discovery of metabolic features.

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AN/D2AN00676F

Reference41 articles.

1. https://www.pcf.org/about-prostate-cancer/what-is-prostate-cancer/

2. Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence

3. Differences in urinary proteins related to surgical margin status after radical prostatectomy

4. Predictive models and prostate cancer

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