New Data Suggesting Veracyte's Percepta® Bronchial Genomic Classifier Can Reduce Unnecessary Invasive Procedures In Lung Cancer Diagnosis Presented at ATS 2016
In the new study, researchers evaluated how use of the Percepta classifier impacted physician decision-making for patients being evaluated for potentially cancerous lung nodules or lesions. Using patient cases from the two prospective, multicenter studies (AEGIS trials), they found that a "low risk" genomic test result prompted a three-fold reduction (from 57 percent to 18 percent) in invasive procedure recommendations, compared to when no genomic test results were available.
The findings are based on a survey of 202 pulmonologists who evaluated cases of 36 patients who were deemed "intermediate risk" for cancer before testing and had an inconclusive result on bronchoscopy, a common, nonsurgical procedure to assess potentially cancerous lung nodules and lesions. The Percepta classifier has previously been shown in multicenter, prospective studies to have high accuracy ( > 91 percent negative predictive value) when it identified lung nodules or lesions among this population as "low risk." i,ii
"When a patient with a suspicious lung nodule is left without answers after a bronchoscopy, physicians often recommend additional invasive testing to reduce the chances of missing a malignancy, even though we know that a significant fraction of the nodules we see are not cancer," said
An estimated 250,000 patients currently undergo a bronchoscopy for suspected lung cancer each year. Approximately 40 percent of bronchoscopies produce inconclusive results, which can lead to risky and expensive invasive procedures such as transthoracic needle biopsy (TTNB) and surgical lung biopsy (SLB). TTNB, for example, has a 15 to 25 percent risk of collapsed lung; SLB is estimated to cost more than
In a second study presented at the ATS conference, researchers evaluated the cost-effectiveness of the Percepta classifier in lung cancer diagnosis, using a commonly accepted economic modeling framework. They found that use of the genomic test was cost-saving or cost-effective across a range of costs for the test because of its ability to reduce the number of unnecessary invasive surgeries and biopsies, procedure-related adverse events and their associated costs.
"Our findings suggest that use of the Percepta classifier provides clinical and economic value for patients undergoing evaluation for possible lung cancer," said
"Diagnostic ambiguity in lung cancer and the unnecessary invasive, risky and costly procedures that can follow put a tremendous strain on physicians, patients and the healthcare system," said
In a third study presented at the conference, researchers demonstrated that use of the Percepta classifier could have decreased unnecessary, invasive procedures in 50 percent of evaluated patients. The clinical utility findings were based on analysis of data from the AEGIS studies. In a fourth study,
About Percepta
The Percepta Bronchial Genomic Classifier is designed to identify patients with lung nodules who are at low risk of cancer following an inconclusive bronchoscopy result, to enable these patients to be safely monitored with CT scans in lieu of invasive diagnostic procedures. The 23-gene molecular classifier's performance is proven in clinical validation studies enrolling more than 1,000 patients, including strong data published in
About Veracyte
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i Silvestri GA, Vachani A, Whitney D, et al. A Bronchial Genomic Classifier for the Diagnostic Evaluation of
ii Whitney DH, Elashoff MR, Porta K, et al. Derivation of a bronchial genomic classifier for lung cancer in a prospective study of patients undergoing diagnostic bronchoscopy. BMC Medical Genomics. 2015, 8:18.
iii Vachani A, Whitney DH, Parsons ED, et al. Clinical Utility of a Bronchial Genomic Classifier in Patients with Suspected
iv Hu Z, Whitney DH, Anderson JR, et al. Analytical Performance of a Bronchial Genomic Classifier. BMC Cancer. 2016, 16:161.
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