An article by Intelligent Living discusses a new tool to “sniff out” pancreatic cancer in patients.
A researcher team at the University of Pennsylvania has developed an electronic nose (e-nose) that could sniff out signs of cancer from blood samples. In lab tests, the device successfully detected a range of cancer types with over 90% accuracy.
Volatile organic compounds (VOCs) are chemicals that have a high vapor pressure at room temperature and are responsible for odors, with different sources emitting different mixtures. The human nose is a sensitive instrument that can detect subtle differences in the makeup and ratio of these VOCs and distinguish whether that odor is coffee, flowers, or lemons.
In 1971, Nobel Prize winner Pauling and his team published what is considered the first report revealed (by gas chromatography) the presence of hundreds of VOCs in human urine and breath. Since then, scientists have explored how VOCs given off by cancer could be detected as part of a diagnostic system. For example, sniffer dogs have shown great promise in detecting cancer in patients’ blood with almost 97% accuracy, while non-invasive breath tests can quickly detect exhaled breath profiles associated with neck and head cancers with 80% accuracy.
For the new study, the team used an e-nose to analyze blood plasma samples for signs of hard-to-detect cancers, like ovarian and pancreatic cancers. The e-nose used algorithms that had previously been trained to identify specific VOC combinations with the different cancers, whether they were benign or not, and what stage of progression they were at.
The researchers studied samples from 93 patients – 20 with benign ovarian tumors, 10 with benign pancreatic disease, 20 with ovarian cancer, 13 with pancreatic cancer, and 30 age- and sex-matched controls.
Impressively, the e-nose detected pancreatic cancer with 90% accuracy and ovarian cancer with 95% accuracy. Of those, it differentiated all eight patients who had early-stage cancers, suggesting it could be valuable as a diagnostic tool to find the disease before it’s too late.
Read the full article on Intelligent Living’s website.