| Title: | Prediction of breast cancer using volatile biomarkers in the breath |
| Author(s): | Phillips M; Cataneo RN; Ditkoff BA; Fisher P; Greenberg J; Gunawardena R; Kwon CS; Tietje O; Wong C; |
| Address: | "Menssana Research Inc., 1 Horizon Road, Suite 1415, Fort Lee, NJ 07024, USA. mphillips@menssanaresearch.com" |
| DOI: | 10.1007/s10549-006-9176-1 |
| ISSN/ISBN: | 0167-6806 (Print) 0167-6806 (Linking) |
| Abstract: | "We evaluated a breath test for volatile organic compounds (VOCs) as a predictor of breast cancer. Breath VOCs were assayed in 51 asymptomatic women with abnormal mammograms and biopsy-proven breast cancer, and 42 age-matched healthy women. A fuzzy logic model predicted breast cancer with accuracy superior to previously reported findings. Following random assignment to a training set (64) or a prediction set (29), a model was constructed in the training set employing five breath VOCs that predicted breast cancer in the prediction set with 93.8% sensitivity and 84.6% specificity. The same model predicted no breast cancer in 16/50 (32.0%) women with abnormal mammograms and no cancer on biopsy. A two-minute breath test could potentially provide a safe, accurate and painless screening test for breast cancer, but prospective validation studies are required" |
| Keywords: | "Age Factors Aged Biomarkers, Tumor/*metabolism Biopsy Breast Neoplasms/*diagnosis/metabolism Breath Tests Case-Control Studies Female Fuzzy Logic Humans Middle Aged Models, Statistical Organic Chemicals Prospective Studies Sensitivity and Specificity;" |
| Notes: | "MedlinePhillips, Michael Cataneo, Renee N Ditkoff, Beth Ann Fisher, Peter Greenberg, Joel Gunawardena, Ratnasiri Kwon, C Stephan Tietje, Olaf Wong, Cynthia eng 1 R41CA81842-01/CA/NCI NIH HHS/ Research Support, N.I.H., Extramural Netherlands 2006/02/28 Breast Cancer Res Treat. 2006 Sep; 99(1):19-21. doi: 10.1007/s10549-006-9176-1. Epub 2006 Feb 24" |
