Summary
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.
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Phillips M, Cataneo RN, Ditkoff BA, et al: (2003) Volatile markers of breast cancer in the breath Breast J 9:184–191
Phillips M, Cataneo R, Cummin A, et al: (2003) Detection of lung cancer with volatile markers in the breath Chest 123:2115–2123
Phillips M, Boehmer J, Cataneo R, et al: (2004): Prediction of heart transplant rejection with a breath test for markers of oxidative stress Am J Cardiol 94:1593–1594
Phillips M, Cataneo R, Cheema T, et al: (2004) Increased breath biomarkers of oxidative stress in diabetes mellitus Clinica Chimica Acta 344:189–194
Phillips M, (1997) Method for the collection and assay of volatile organic compounds in breathAnal Biochem 247:272–278
Yazdanpanah M, Luo X, Lau R, et al: (1997) Cytotoxic aldehydes as possible markers for childhood cancer Free Radic Biol Med 23:870–878
Hamel E, Lin C, Plowman J, et al: (1996) Antitumor 2,3-dihydro-2-(aryl)-4(1H)-quinazolinone derivatives. Interactions with tubulinBiochem Pharmacol 51:53–59
Mukherjee SKV, Prasad AK, Raj HG, Bracke ME, Olsen CE, Jain SC, Parmar VS, (2001) Synthetic and biological activity evaluation studies on novel 1,3-diarylpropenones Bioorg Med Chem 9:337–345
Ciatto S, Rosselli Del Turco M, Burke P, et al: (2003) Comparison of standard and double reading and computer-aided detection (CAD) of interval cancers at prior negative screening mammograms: blind review Br J Cancer 89:1645–1649
Schneider J PG, Bitterlich N, Neu K, Velcovsky HG, Morr H, Katz N, Eigenbrodt E, (2003) Fuzzy logic-based tumor marker profiles including a new marker tumor M2-PK improved sensitivity to the detection of progression in lung cancer patients Anticancer Res 23:899–906
Modai I, Kuperman J, Goldberg I, et al: (2004) Fuzzy logic detection of medically serious suicide attempt records in major psychiatric disorders J Nerv Ment Dis 192:708–710
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This research was supported by STTR grant 1 R41CA81842-01 from the National Cancer Institute of the National Institutes of Health. This report has not been reviewed by the National Institutes of Health.
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Michael Phillips MD, FACP was the principal investigator who coordinated the study.
Renee N. Cataneo MA analyzed all breath samples in the laboratory.
Beth Ann Ditkoff MD recruited patients with abnormal mammograms for the study.
Peter Fisher MD and C. Stephan Kwon MD reviewed the microscopic pathology of the breast biopsies.
Joel Greenberg BS and Olaf Tietje PhD analyzed the data.
Ratnasiri Gunawardena MD collected breath samples from subjects.
Cynthia Wong MD recruited normal controls and patients with abnormal mammograms for the study.
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Phillips, M., Cataneo, R.N., Ditkoff, B.A. et al. Prediction of breast cancer using volatile biomarkers in the breath. Breast Cancer Res Treat 99, 19–21 (2006). https://doi.org/10.1007/s10549-006-9176-1
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DOI: https://doi.org/10.1007/s10549-006-9176-1