The final group of proteins was validated in a second study that utilized an independent set of 104 plasma samples (52 with cancer; 52 benign), including successful validation of the classifier at a completely new hospital site. As with the earlier study, each malignant sample was matched with a benign sample of the same age, gender, nodule size and participating clinical site. In this study, the classifier was found to have a negative predictive value (NPV) of 90% meaning that patients whose test results identify protein markers at concentrations suggesting that their nodule is "likely benign" may have a high probability of that classification being correct.
"We believe this technology, when applied to a commercial protein expression test, will be of tremendous interest to pulmonologists," said Albert A. Luderer, Ph.D., chief executive officer, Indi. "Clinicians encounter patients with lung nodules in their practices on a regular basis, which often lead to invasive procedures. We expect that a non-invasive test based on Indi's technology may be able to assist physicians in determining which nodules do not require risky and costly clinical interventions. Eliminating those invasive procedures on benign patients should lead to significant savings in the healthcare system."
The STM paper is titled "A Blood-Based Proteomic Classifier for the Molecular Characterization of Pulmonary Nodules" and included the participation and/or the
|Contact: Eliot Dobris|
Indi (Integrated Diagnostics)