Journal
INTERNATIONAL JOURNAL OF CANCER
Volume 136, Issue 6, Pages E614-E622Publisher
WILEY
DOI: 10.1002/ijc.29166
Keywords
ovarian cancer; breath; diagnosis; volatile organic compound; sensor
Categories
Funding
- ERC (FP7
- DIAG-CANCER) [256639]
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We present a pilot study that aims to examine the possibility to easily and noninvasively detect and discriminate females with ovarian cancer (OC) from females that have no tumor(s) and from females that have benign genital tract neoplasia, using exhaled breath samples. The study is based on clinical samples and data from 182 females, as follows: 48 females with OC, 48 tumor-free controls and 86 females with benign gynecological neoplasia. Analysis of the breath samples with gas chromatography linked with mass spectrometry shows that decanal, nonanal, styrene, 2-butanone and hexadecane could serve as potential volatile markers for OC. Analysis of the same samples with tailor-made nanoarrays shows good discrimination between females with OC and females that have either no tumor or benign genital tract neoplasia (71% for accuracy, sensitivity and specificity). Conversely, the nanoarray output shows excellent discrimination between the OC patients and the tumor-free controls (79% sensitivity, 100% specificity and 89% accuracy). These results suggest that the nanoarray approach might be useful to avoid unnecessary complicated or expensive tests for tumor-free females in case of a negative result. In the case of positive result, the test will indicate with high probability the presence of OC. What's New? Because ovarian cancer (OC) is usually not diagnosed until it reaches an advanced stage, mortality has been very high. Current diagnostic tests are expensive and cumbersome, making widespread screening impractical. In this study, the authors developed a diagnostic breath test that was able to distinguish between patients with malignant ovarian tumors and women who were tumor free. The test uses a nanoarray of sensors to measure volatile organic compounds; it showed good sensitivity (low false-negatives) and 100% specificity (no false positives). This may lead to an inexpensive, disposable alternative for earlier diagnosis of OC.
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