Literature DB >> 17143523

Detection of breast cancer biomarkers in nipple aspirate fluid by SELDI-TOF and their identification by combined liquid chromatography-tandem mass spectrometry.

Jianbo He1, Jeffrey Gornbein, Dejun Shen, Ming Lu, Leonor E Rovai, Hungyi Shau, John Katz, Julian P Whitelegge, Kym F Faull, Helena R Chang.   

Abstract

Screening mammography is the most effective tool available for breast cancer detection. While screening mammography saves lives, it has intrinsic problems that limit further improvement. We hypothesize that protein biomarkers in nipple aspirate fluid (NAF) may separate the cancer from the non-cancer state, and therefore can be used for breast cancer detection. In this study the proteins in NAF were analyzed by surface-enhanced laser desorption ionization coupled to time-of-flight mass spectrometry (SELDI-TOF) in the m/z 5,000-85,000 range. Two methods were used to normalize spectra. Then differentially expressed signals that separate cancer from non-cancer conditions were selected by two specifically developed statistical algorithms. Proteins of interest were identified by combined liquid chromatography-tandem mass spectrometry. A set of 8 markers were identified which collectively gave 63% sensitivity, 89% specificity and 76% accuracy for distinguishing cancer from non-cancer. Further improvements in the specificity and sensitivity of this strategy could come from the development of methods for more precise quantification of the biomarkers of interest and also from focusing on the low abundant components that are not evident when unfractionated NAF is analyzed directly.

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Year:  2007        PMID: 17143523

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  13 in total

1.  Identification of a beta-casein-like peptide in breast nipple aspirate fluid that is associated with breast cancer.

Authors:  Edward R Sauter; Wade Davis; Wenyi Qin; Sarah Scanlon; Brian Mooney; Karen Bromert; William R Folk
Journal:  Biomark Med       Date:  2009-10       Impact factor: 2.851

Review 2.  Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  J Biomed Biotechnol       Date:  2009-12-06

3.  Hydrophobic Fractionation Enhances Novel Protein Detection by Mass Spectrometry in Triple Negative Breast Cancer.

Authors:  Ming Lu; Julian P Whitelegge; Stephen A Whelan; Jianbo He; Romaine E Saxton; Kym F Faull; Helena R Chang
Journal:  J Proteomics Bioinform       Date:  2010-01-22

Review 4.  Secreted proteins as a fundamental source for biomarker discovery.

Authors:  Miroslava Stastna; Jennifer E Van Eyk
Journal:  Proteomics       Date:  2012-01-19       Impact factor: 3.984

5.  Construction of protein profile classification model and screening of proteomic signature of acute leukemia.

Authors:  Yun Xu; Jiacai Zhuo; Yonggang Duan; Benhang Shi; Xuhong Chen; Xiaoli Zhang; Liang Xiao; Jin Lou; Ruihong Huang; Qiongli Zhang; Xin Du; Ming Li; Daping Wang; Dunyun Shi
Journal:  Int J Clin Exp Pathol       Date:  2014-08-15

Review 6.  Nipple aspirate fluid and its use for the early detection of breast cancer.

Authors:  Natasha Jiwa; Ahmed Ezzat; Josephine Holt; Dhuleep S Wijayatilake; Zoltan Takats; Daniel Richard Leff
Journal:  Ann Med Surg (Lond)       Date:  2022-04-18

7.  Hydrophobic Proteome Analysis of Triple Negative and Hormone-Receptor-Positive-Her2-Negative Breast Cancer by Mass Spectrometer.

Authors:  Ming Lu; Stephen A Whelan; Jianbo He; Romaine E Saxton; Kym F Faull; Julian P Whitelegge; Helena R Chang
Journal:  Clin Proteomics       Date:  2010-09-07       Impact factor: 3.988

8.  Protein Biomarkers for Breast Cancer Risk Are Specifically Correlated with Local Steroid Hormones in Nipple Aspirate Fluid.

Authors:  Ali Shidfar; Tolulope Fatokun; David Ivancic; Robert T Chatterton; Seema A Khan; Jun Wang
Journal:  Horm Cancer       Date:  2016-04-19       Impact factor: 3.869

9.  Protein biomarkers for the early detection of breast cancer.

Authors:  David E Misek; Evelyn H Kim
Journal:  Int J Proteomics       Date:  2011-08-11

Review 10.  The proteomics big challenge for biomarkers and new drug-targets discovery.

Authors:  Rocco Savino; Sergio Paduano; Mariaimmacolata Preianò; Rosa Terracciano
Journal:  Int J Mol Sci       Date:  2012-10-29       Impact factor: 5.923

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