Identification of a beta-casein-like peptide in breast nipple aspirate fluid that is associated with breast cancer.
OBJECTIVE
Nipple aspirate fluid was collected prospectively from women scheduled for diagnostic breast surgery in order to determine protein masses associated with breast cancer, subsets of women with a unique proteomic profile and a breast cancer predictive model.


METHODS
Breast nipple aspirate fluid was collected preoperatively in 163 breasts from 125 women and analyzed for changes in cell morphology and by SELDI-TOF mass spectrometry over approximately a 44 kDa range (1.5-45 kDa) using IMAC30, CM10 and Q10 ProteinChips.


RESULTS
Considering all samples, 16 protein masses were associated with the presence of cancer, the most discriminating being 3592, 6570/6580 and 15870 Da. Excluding women with pathologic nipple discharge or those with a papilloma identified an additional protein of 6383 Da. The best cancer detection models included Breast Imaging Reporting and Data System, age, and either the 4262 (best sensitivity: >87%) or 3592 (best specificity: >94%) peak. MALDI-TOF mass spectrometry demonstrated the 3592 peak, which was most discriminating in many of our cancer prediction models, to be a beta-casein-like peptide.


CONCLUSIONS
Differential nipple aspirate fluid proteomic expression exists between women with/without breast cancer. The most discriminating protein identified is a beta-casein-like peptide not previously described. Combining proteomic and clinical information, which are available before surgery, optimizes the prediction of which women have breast cancer.
Sauter
Edward R
ER
Department of Surgery, University of North Dakota School of Medicine & Health Sciences, 501 N. Columbia Road, Stop 9037, Grand Forks, ND 58201, USA. esauter@medicine.nodak.edu
Davis
Wade
W
Qin
Wenyi
W
Scanlon
Sarah
S
Mooney
Brian
B
Bromert
Karen
K
Folk
William R
WR