An odor-based test that sniffs out vapors emanating from blood samples was able to distinguish between benign and pancreatic and ovarian cancer cells with up to 95% accuracy, according to a new study.
The findings suggest that the tool—which uses artificial intelligence and machine learning to decipher the mixture of volatile organic compounds (VOCs) emitting off cells in blood plasma samples—could serve as a noninvasive approach to screen for harder-to-detect cancers, such as pancreatic and ovarian.
“It’s an early study but the results are very promising,” says A.T. Charlie Johnson, a professor of physics and astronomy at the University of Pennsylvania. “The data shows we can identify these tumors at both advanced and the earliest stages, which is exciting. If developed appropriately for the clinical setting, this could potentially be a test that’s done on a standard blood draw that may be part of your annual physical.”
The electronic olfaction—”e-nose”—system is equipped with nanosensors calibrated to detect the composition of VOCs, which all cells emanate. Previous studies from the researchers demonstrated that VOCs released from tissue and plasma from ovarian cancer patients are distinct from those released from samples of patients with benign tumors.
Among 93 patients, including 20 patients with ovarian cancer, 20 with benign ovarian tumors, and 20 age-matched controls with no cancer, as well as 13 patients with pancreatic cancer, 10 patients with benign pancreatic disease, and 10 controls, the vapor sensors discriminated the VOCs from ovarian cancer with 95% accuracy and pancreatic cancer with 90% accuracy. The tool also correctly identified all patients (a total of eight) with early-stage cancers.
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The technology’s pattern recognition approach is similar to the way people’s own sense of smell works, where a distinct mixture of compounds tells the brain what it’s smelling. The tool was trained and tested to identify the VOC patterns more associated with cancer cells and those associated with cells from healthy blood samples in 20 minutes or less.
The team’s collaboration with Richard Postrel, CEO and chief innovation officer of VOC Health, has also led to an improvement in detection speed by 20 fold.
“Initial prototypes of commercial devices able to detect cancer from liquids and vapors will be ready soon and be provided to these Penn researchers to further their work,” says Richard Postrel, CEO and chief innovation officer of VOC Health. The team’s work with Postrel led to an improvement in detection speed by 20 fold.
The researchers have also gotten a grant for the development of a handheld device that can detect the signature “odor” of people with COVID-19, which is based off the cancer-detection technology applied in this study.
The researchers presented their results at the annual American Society of Clinical Oncology meeting in early June.
Additional coauthors are from Penn and the Monell Chemical Senses Center. The Kleberg Foundation funded the research. Coauthors Johnson, Otto, and Abella are co-founders of and equity holders in VOC Health.