Literature DB >> 19937430

Quantitative analysis of urinary phospholipids found in patients with breast cancer by nanoflow liquid chromatography-tandem mass spectrometry: II. Negative ion mode analysis of four phospholipid classes.

Hye Kyeong Min1, Gu Kong, Myeong Hee Moon.   

Abstract

Analysis was performed on four different categories of phospholipids (phosphatidylserine (PS), phosphatidylinositol (PI), phosphatidylglycerol (PG), and phosphatidic acid (PA)) from urine in patients with breast cancer. This quantitative analysis was conducted using nanoflow liquid chromatography-electrospray ionization-tandem mass spectrometry (nLC-ESI-MS-MS). This study shows the profiling of the phospholipids (PLs) that can be identified by the negative ion mode of MS. A previous study (Kim et al. Anal. Bioanal. Chem. 393:1649, 21) focused on only two PL classes: phosphatidylcholines (PCs) and phosphatidylethanolamines (PEs) and were identified by positive ion mode. PLs were extracted by lyophilization of 1 mL of urine from both healthy normal females and breast cancer patients before and after surgery. Separation of PLs was performed by nLC followed by structural identification of PLs using data-dependent collision-induced dissociation. A total of 34 urinary PL molecules (12 PSs, 12 PIs, four PGs, and six PAs) were quantitatively examined. Among the four PL categories examined in this study, most PL classes showed an increase in the total amounts in the cancer patients, yet PIs exhibited some decreases. The present study suggests that the lipid composition found in the urine of breast cancer patients can be utilized for the possible development of disease markers, when the analysis is performed with negative ion mode of nLC-ESI-MS-MS.

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Year:  2009        PMID: 19937430     DOI: 10.1007/s00216-009-3292-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  16 in total

1.  A novel route to recognizing quaternary ammonium cations using electrospray mass spectrometry.

Authors:  Holly M Shackman; Wei Ding; Mark S Bolgar
Journal:  J Am Soc Mass Spectrom       Date:  2014-11-13       Impact factor: 3.109

2.  Systemic alterations in concentrations and distribution of plasma phospholipids in prostate cancer patients.

Authors:  B Cvetković; V Vučić; Z Cvetković; T Popović; M Glibetić
Journal:  Med Oncol       Date:  2011-03-26       Impact factor: 3.064

3.  Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals.

Authors:  J Graessler; C S Mehnert; K-M Schulte; S Bergmann; S Strauss; T D Bornstein; J Licinio; M-L Wong; A L Birkenfeld; S R Bornstein
Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

4.  Development and Validation of a Prognostic Classifier Based on Lipid Metabolism-Related Genes for Breast Cancer.

Authors:  Nan Wang; Yuanting Gu; Lin Li; Jiangrui Chi; Xinwei Liu; Youyi Xiong; Chaochao Zhong
Journal:  J Inflamm Res       Date:  2022-06-14

5.  Analysis of renal cell carcinoma as a first step for developing mass spectrometry-based diagnostics.

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Journal:  J Am Soc Mass Spectrom       Date:  2012-07-31       Impact factor: 3.109

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7.  Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions.

Authors:  Xiaoli Chen; Hankui Chen; Meiyu Dai; Junmei Ai; Yan Li; Brett Mahon; Shengming Dai; Youping Deng
Journal:  Oncotarget       Date:  2016-06-14

Review 8.  Advances in Lipidomics for Cancer Biomarkers Discovery.

Authors:  Francesca Perrotti; Consuelo Rosa; Ilaria Cicalini; Paolo Sacchetta; Piero Del Boccio; Domenico Genovesi; Damiana Pieragostino
Journal:  Int J Mol Sci       Date:  2016-11-28       Impact factor: 5.923

9.  Quantification of phospholipids classes in human milk.

Authors:  Francesca Giuffrida; Cristina Cruz-Hernandez; Brigitte Flück; Isabelle Tavazzi; Sagar K Thakkar; Frédéric Destaillats; Marcel Braun
Journal:  Lipids       Date:  2013-08-28       Impact factor: 1.880

10.  Evaluation of treadmill exercise effect on muscular lipid profiles of diabetic fatty rats by nanoflow liquid chromatography-tandem mass spectrometry.

Authors:  Jong Cheol Lee; Il Yong Kim; Yeri Son; Seul Kee Byeon; Dong Hyun Yoon; Jun Seok Son; Han Sol Song; Wook Song; Je Kyung Seong; Myeong Hee Moon
Journal:  Sci Rep       Date:  2016-07-08       Impact factor: 4.379

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