Literature DB >> 30683386

Rapid LC-MS/MS quantification of cancer related acetylated polyamines in human biofluids.

Brian C DeFelice1, Oliver Fiehn2.   

Abstract

Increased urinary acetylated polyamines (APs) are reported as cancer biomarkers in many studies. N1,N12-diacetylspermine has been proposed as a biomarker indicative of different cancers in urine and plasma. N1-Acetylspermine has previously been found to be increased in the saliva of patients with breast cancer; however, in plasma this metabolite was too low abundant to be detected by previous analytical methods. In addition, no method has been reported to perform AP analysis on the level of speed, robustness and sensitivity required for daily clinical routines. Here we describe a high-throughput sample preparation and LC-MS/MS method for the fast, accurate and precise quantification of three APs: N8-acetylspermidine, N1-acetylspermine, and N1,N12-diacetylspermine in plasma, urine and saliva. Stable isotope labeled N1,N12-diacetylspermine was used as internal standard. Robustness was validated by intra- and inter-day reproducibility. Precision and accuracy of the method were tested at six concentration levels from 0.0375 to 750 ng/mL resulting in less than 15% relative standard deviation and less than 15% percent error in quantification. Using 96-well plates, the assay described herein allows for preparing, analyzing, and quantifying 240 samples per day for a single researcher to quantify three APs commonly related to cancer status.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acetylated polyamines; Biomarker; Diacetylspermine; High-throughput; Polyamines; Quantitation

Mesh:

Substances:

Year:  2018        PMID: 30683386      PMCID: PMC7050201          DOI: 10.1016/j.talanta.2018.12.074

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  10 in total

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Authors:  Koji Yamaguchi; Masahiro Nagano; Nobuhiro Torada; Naotaka Hamasaki; Masao Kawakita; Masao Tanaka
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Journal:  Cancer Res       Date:  1981-04       Impact factor: 12.701

  10 in total
  5 in total

1.  Polyamine Metabolites as Biomarkers in Head and Neck Cancer Biofluids.

Authors:  Brian C DeFelice; Oliver Fiehn; Peter Belafsky; Constanze Ditterich; Michael Moore; Marianne Abouyared; Angela M Beliveau; D Gregory Farwell; Arnaud F Bewley; Shannon M Clayton; Joehleen A Archard; Jordan Pavlic; Shyam Rao; Maggie Kuhn; Peter Deng; Julian Halmai; Kyle D Fink; Andrew C Birkeland; Johnathon D Anderson
Journal:  Diagnostics (Basel)       Date:  2022-03-24

Review 2.  Salivary Metabolomics for Oral Cancer Detection: A Narrative Review.

Authors:  Karthika Panneerselvam; Shigeo Ishikawa; Rajkumar Krishnan; Masahiro Sugimoto
Journal:  Metabolites       Date:  2022-05-12

3.  A rapid LC-MS/MS assay for detection and monitoring of underivatized branched-chain amino acids in maple syrup urine disease.

Authors:  Hamed Piri-Moghadam; Alan Miller; Debra Pronger; Faye Vicente; Joel Charrow; Shannon Haymond; David C Lin
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2022-04-30

4.  Analytical Methods for Quantification and Identification of Intact Glucosinolates in Arabidopsis Roots Using LC-QqQ(LIT)-MS/MS.

Authors:  Kourosh Hooshmand; Inge S Fomsgaard
Journal:  Metabolites       Date:  2021-01-11

5.  Salivary metabolomics with machine learning for colorectal cancer detection.

Authors:  Hiroshi Kuwabara; Kenji Katsumata; Atsuhiro Iwabuchi; Ryutaro Udo; Tomoya Tago; Kenta Kasahara; Junichi Mazaki; Masanobu Enomoto; Tetsuo Ishizaki; Ryoko Soya; Miku Kaneko; Sana Ota; Ayame Enomoto; Tomoyoshi Soga; Masaru Tomita; Makoto Sunamura; Akihiko Tsuchida; Masahiro Sugimoto; Yuichi Nagakawa
Journal:  Cancer Sci       Date:  2022-07-08       Impact factor: 6.518

  5 in total

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