In one study, researchers found that use of the Afirma GEC supports current recommendations for managing patients with thyroid nodules designated as "noninvasive follicular thyroid neoplasm with papillary-like nuclear features" (NIFTP). This relatively recent pathology designation is intended to consolidate a group of thyroid tumors that have a good outcome provided they are surgically removed. Using a comprehensive bio-repository of thyroid nodule samples with paired cytology, genomic testing and histopathology results, the authors found that the Afirma GEC pre-operatively identified 24 of 25, or 96 percent, of nodules that turned out to be NIFTP as "suspicious." This designation helps physicians guide patients with "suspicious" Afirma GEC results to surgery.
"NIFTP is a biologically indolent lesion, yet its diagnosis and distinction from malignant tumors still requires surgical excision, and use of the Afirma GEC reinforces this approach," said
Other Afirma GEC-related data presented at the ENDO 2017 conference included a poster showing a significant overall discordance (15%) between local pathologists and a central, expert panel in assigning a diagnosis of benign or malignant on surgically resected thyroid nodules. The findings reinforce the challenges in thyroid nodule diagnosis when cytology results are indeterminate and point to the role of genomic testing in enabling a more accurate diagnosis earlier in the clinical pathway, before surgery is performed. Additionally, researchers from the
"The evidence presented at the ENDO conference further underscores the value that the Afirma GEC is delivering to thyroid patients, physicians and the healthcare system," said
About the Afirma GEC
The Afirma GEC is used to identify patients with benign thyroid nodules among those with indeterminate cytopathology results in order to preserve the thyroid. Each year in
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: "anticipate," "intend," "plan," "expect," "believe," "should," "may," "will" and similar references to future periods. Examples of forward-looking statements include, among others, our ability to successfully scale the company and our belief that we are well positioned for profitable growth. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, anticipated events and trends, the economy and other future conditions. Forward-looking statements involve risks and uncertainties, which could cause actual results to 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: the applicability of clinical results to actual outcomes; laws and regulations applicable to our business, including potential regulation by the Food and Drug Administration or other regulatory bodies; the size of the market opportunity for our products; our ability to successfully achieve adoption of and reimbursement for our products; the amount by which use of our products are able to reduce invasive procedures and misdiagnosis, and reduce healthcare costs; the occurrence and outcomes of clinical studies; the timing and publication of clinical study results; and other risks set forth in the company's filings with the Securities and Exchange Commission, including the risks set forth in the company's Annual Report on Form 10-K for the year ended December 31, 2016. These forward-looking statements speak only as of the date hereof and Veracyte specifically disclaims any obligation to update these forward-looking statements.
To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/multiple-studies-presented-at-endo-2017-support-use-of-veracytes-afirma-gene-expression-classifier-in-thyroid-cancer-diagnosis-300433245.html
News Provided by Acquire Media