Veracyte Announces Publication of Data Demonstrating Analytical and Clinical Validity of Its Afirma® BRAF Malignancy Classifier
BRAF V600E mutation is often predictive for papillary thyroid cancer (PTC), the most common thyroid malignancy. Preoperative identification of this mutation in thyroid nodule fine needle aspiration (FNA) biopsies may enable physicians to better assess individual patients' risk of cancer and determine the most appropriate surgical strategy, such as whether to perform a total or partial thyroidectomy. PCR- or sequencing-based DNA analysis is often limited by the need for a DNA quantity that is difficult to procure from an FNA biopsy.
"We believe these data should provide physicians with confidence that our Afirma BRAF test provides an excellent option to help them define surgical strategy for relevant thyroid nodule patients," said
In the new study, researchers evaluated 535 FNA samples using both the Afirma RNA-based classifier and a sensitive, standard PCR DNA-based test. The Afirma BRAF RNA-based classifier accurately determined the presence or absence of the BRAF V600E DNA mutation with equal performance, but with a lower non-diagnostic rate than the DNA-based test (7.6 percent vs. 24.5 percent). In addition, the Afirma BRAF classifier has broader clinical utility: Because it uses a genomic expression signature associated with altered BRAF signaling, it has the potential to detect BRAF mutations other than V600E.
The Afirma Malignancy Classifiers - which comprise genomic tests for medullary thyroid cancer (MTC) and the BRAF mutation - are part of the Afirma Thyroid FNA Analysis. This solution centers on the Afirma GEC, a genomic test that preoperatively identifies benign nodules among those deemed inconclusive based on cytopathology, thus potentially enabling patients to avoid an unnecessary surgery. The Afirma solution delivers results using a single FNA, enabling patients to avoid returning to the physician's office for additional FNA procedures.
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differ materially, and reported results should not be considered as an indication of future performance. These risks and uncertainties include, but are not limited to: our limited operating history and history of losses; our ability to increase usage of and reimbursement for the Afirma Gene Expression Classifier, the Afirma Malignancy Classifiers and any future products we may develop or sell; our ability to continue our momentum and growth; our dependence on a few payers for a significant portion of our revenue; the complexity, time and expense associated with billing and collecting from payers for our test; laws and regulations applicable to our business, including potential regulation by the
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