Veracyte Announces Presentation of “Real World” Clinical Utility Data at CHEST 2018 Showing Percepta Classifier Reduces Invasive Procedures in Lung Cancer Diagnosis
Preliminary data from ongoing, three-year registry study demonstrate that reduction inpotentially harmful invasive procedures extends for first 12 months post-test
The ongoing 40-site registry trial aims to measure the impact of the Percepta test on lung nodule management in “real world” clinical practice and to monitor clinical outcomes of patients managed with the test. Reviewing results from the first 258 evaluable patients, researchers found that patients who had a negative Percepta result following an inconclusive bronchoscopy had lower rates of subsequent invasive procedures at all evaluation time points (immediately post-test, 3 months, 6 months and 12 months), compared to physicians’ plans for these patients prior to Percepta testing. At 12 months of follow-up, researchers observed a 20 percent relative reduction in invasive procedures as compared to physicians’ initial plans.
The findings also showed that Percepta classifier results changed how physicians managed patients with lung nodules. The researchers found that patients with negative Percepta test results were significantly less likely to undergo invasive procedures at all time points over the 12-month post-test period, as compared to patients with positive genomic test results.
“Physicians often use bronchoscopy to evaluate potentially cancerous
lung nodules, but the results from this procedure are often
inconclusive, which can lead to unnecessary, invasive follow-up
procedures for a diagnosis,” said
The Percepta classifier uses proprietary “field of injury”-based
technology to detect genomic changes associated with lung cancer in the
main lung airway of current and former smokers. Percepta detects these
genomic changes to determine the likelihood that a nodule is cancerous
without the need to sample the nodule directly. Clinical validation data
published in
“These new data reinforce the value that the Percepta classifier brings
to lung cancer diagnosis by reducing, over the long term, the number of
invasive procedures among patients being evaluated for suspicious lung
nodules,” said
The Percepta multicenter registry study has enrolled over 655 patients who were former or current smokers without prior active cancer and who were deemed eligible for bronchoscopy following identification of a pulmonary lesion on CT scan. Physicians captured a bronchial brushing at the time of the bronchoscopy to enable genomic diagnostic evaluation by the Percepta classifier if the bronchoscopy result was inconclusive.
Lung cancer is the leading cause of cancer-related deaths in
About Percepta
The Percepta Bronchial Genomic Classifier uses advanced genomic and
machine learning technology to improve lung cancer diagnosis for
patients while reducing the need for invasive procedures. The classifier
is run when bronchoscopy results are inconclusive, and helps physicians
determine which patients are at low or very low risk for cancer and may
therefore be monitored with CT scans instead of undergoing further,
invasive diagnostic procedures. The Percepta classifier uses proprietary
“field of injury”-based technology to detect molecular changes in the
main lung airway of current or former smokers. Percepta detects these
genomic changes to determine the likelihood that a nodule is cancerous
without the need to sample the nodule directly. The classifier’s
performance has been validated in multiple, rigorous clinical studies,
including clinical validation data published in
About Veracyte
Cautionary Note Regarding Forward-Looking Statements
This press release contains "forward-looking statements" within the
meaning of the Private Securities Litigation Reform Act of 1995.
Forward-looking statements can be identified by words such as:
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genomic tests will transform the diagnosis of thyroid cancer, lung
cancer and idiopathic pulmonary fibrosis; statements regarding the
ability of the Percepta Bronchial Genomic Classifier to reduce
unnecessary invasive procedures in lung cancer diagnosis; and statements
regarding the ability of the Envisia Genomic Classifier to improve IPF
diagnosis. Forward-looking statements are neither historical facts nor
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Veracyte Media & Investor Contact:
Angie McCabe,
650-243-6371
Vice President, Investor Relations & Corporate
Communications
angie@veracyte.com