Literature DB >> 20655890

Evaluating the utility of N1,N12-diacetylspermine and N1,N8-diacetylspermidine in urine as tumor markers for breast and colorectal cancers.

Yoshifumi Umemori1, Yui Ohe, Kageaki Kuribayashi, Naoki Tsuji, Toshihiko Nishidate, Hidekazu Kameshima, Koichi Hirata, Naoki Watanabe.   

Abstract

BACKGROUND: Among natural polyamines, the concentrations of the diacetylated form of spermine and spermidine increase in the urine of patients with cancer. We evaluated the utility of urinary N(1),N(12)-diacetylspermine (DiAcSpm) and N(1),N(8)-diacetylspermidine (DiAcSpd) as tumor markers for breast and colorectal cancers.
METHODS: Urinary DiAcSpm and DiAcSpd concentrations were measured by an enzyme-linked immunosorbent assay. Urine and serum samples were collected from 33 and 28 patients with colorectal and breast cancers, respectively. The sensitivity of urine samples to DiAcSpm and DiAcSpd concentrations was compared with serum concentrations of carcinoembryonic antigen (CEA) and carbohydrate antigen CA 15-3 in breast cancer patients and with serum concentrations of CEA and CA 19-9 in colorectal cancer patients, respectively.
RESULTS: In breast cancer patients, the sensitivity of DiAcSpm and DiAcSpd was 46.4% and 14.2%, respectively, which was higher than that of CEA and CA 15-3. In patients with colorectal cancer, the sensitivity of DiAcSpm and DiAcSpd was 69.6% and 36.3%, respectively. CEA was the second sensitive marker and CA 19-9 was the least sensitive marker in these patients.
CONCLUSION: DiAcSpm is a highly sensitive tumor marker. DiAcSpm can serve as a powerful tool in settings such as initial screening for cancers in routine health examination.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20655890     DOI: 10.1016/j.cca.2010.07.018

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


  15 in total

1.  The importance of plasma arginine level and its downstream metabolites in diagnosing prostate cancer.

Authors:  Ismail Selvi; Halil Basar; Numan Baydilli; Koza Murat; Ozlem Kaymaz
Journal:  Int Urol Nephrol       Date:  2019-08-23       Impact factor: 2.370

Review 2.  -The advancement of biomarker-based diagnostic tools for ovarian, breast, and pancreatic cancer through the use of urine as an analytical biofluid.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Int J Biol Markers       Date:  2011-09-21       Impact factor: 2.659

3.  The clinical usefulness of urinary N(1),N(12)-diacetylspermine (DiAcSpm) levels as a tumor marker in patients with colorectal cancer.

Authors:  Yoshifumi Nakayama; Takayuki Torigoe; Noritaka Minagawa; Koji Yamaguchi
Journal:  Oncol Lett       Date:  2012-02-29       Impact factor: 2.967

4.  Metabolomics: beyond biomarkers and towards mechanisms.

Authors:  Caroline H Johnson; Julijana Ivanisevic; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2016-03-16       Impact factor: 94.444

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

Authors:  Brian C DeFelice; Oliver Fiehn
Journal:  Talanta       Date:  2018-12-26       Impact factor: 6.057

Review 6.  Role of Urinary Biomarkers in the Diagnosis of Adenoma and Colorectal Cancer: A Systematic Review and Meta-Analysis.

Authors:  Emma Altobelli; Paolo Matteo Angeletti; Giovanni Latella
Journal:  J Cancer       Date:  2016-10-08       Impact factor: 4.207

7.  Cerebrospinal fluid metabolomic profiles can discriminate patients with leptomeningeal carcinomatosis from patients at high risk for leptomeningeal metastasis.

Authors:  Byong Chul Yoo; Jun Hwa Lee; Kyung-Hee Kim; Weiwei Lin; Jong Heon Kim; Jong Bae Park; Hyun Jin Park; Sang Hoon Shin; Heon Yoo; Ji Woong Kwon; Ho-Shin Gwak
Journal:  Oncotarget       Date:  2017-09-18

8.  Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

Authors:  Tetsushi Nakajima; Kenji Katsumata; Hiroshi Kuwabara; Ryoko Soya; Masanobu Enomoto; Tetsuo Ishizaki; Akihiko Tsuchida; Masayo Mori; Kana Hiwatari; Tomoyoshi Soga; Masaru Tomita; Masahiro Sugimoto
Journal:  Int J Mol Sci       Date:  2018-03-07       Impact factor: 5.923

9.  Organ-specific isogenic metastatic breast cancer cell lines exhibit distinct Raman spectral signatures and metabolomes.

Authors:  Paul T Winnard; Chi Zhang; Farhad Vesuna; Jeon Woong Kang; Jonah Garry; Ramachandra Rao Dasari; Ishan Barman; Venu Raman
Journal:  Oncotarget       Date:  2017-03-21

10.  Effect of storage conditions on salivary polyamines quantified via liquid chromatography-mass spectrometry.

Authors:  Atsumi Tomita; Masayo Mori; Kana Hiwatari; Eri Yamaguchi; Takao Itoi; Makoto Sunamura; Tomoyoshi Soga; Masaru Tomita; Masahiro Sugimoto
Journal:  Sci Rep       Date:  2018-08-13       Impact factor: 4.379

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