SEATTLE, October 16, 2013 Indi (Integrated Diagnostics), an emerging leader in molecular diagnostics, today announced the results of a major study which suggests that quantifying a combination of blood proteins can distinguish between benign lung nodules and early-stage lung cancer with high probability. The study, which was published today in Science Translational Medicine (STM), suggests that when this group of proteins (or 'classifier') is detected, and their relative concentrations are used to identify a patient's lung nodule (a round lesion of up to three cm) as benign, the classifier result is correct more than 90 percent of the time. This multiple protein expression classifier, which is intended to assist physicians with the early diagnosis of lung nodules, uses a highly sensitive analytic technique called multiple reaction monitoring mass spectroscopy (MRM-mass spec). This laboratory-based analytical method combined with sophisticated bioinformatics and systems-biology approaches allowed the researchers to assess the diagnostic power of 371 potential lung cancer biomarkers in millions of different combinations before settling on the diagnostic classifier (set of biomarkers) that these data indicate is most effective.
"These studies suggest that Indi's technology is capable of detecting the molecular signature of lung cancer by measuring the presence of multiple proteins in a patient's blood," said Paul Kearney, Ph.D., president and chief science officer, Indi and senior author of the STM paper. "We are very pleased that these data suggest we have achieved a 90 percent probability with this diagnostic classifier. Doing so required performing an unbiased search for biomarkers involved in early-stage lung cancer, considering all potential disease pathways. Using MRM-mass spec as the platform was essential because it makes it feasible to simultaneously measure hundreds of proteins at once. Conducting the broadest possible search for biom
|Contact: Eliot Dobris|
Indi (Integrated Diagnostics)