Friendswood, TX –March 5, 2015 – Castle Biosciences, Inc. today announced the publication of a clinical study showing that its gene expression profile (GEP) test for cutaneous (skin) melanoma improved the prognostic accuracy of sentinel lymph node biopsy (SLNB) in identifying patients at high risk of their cancer spreading. The GEP test was able to identify as high risk a significant number of patients whose sentinel lymph node biopsy results did not indicate any increased risk, but who subsequently developed metastatic disease.
The paper, “Gene expression profiling for molecular staging of cutaneous melanoma in patients with sentinel lymph node biopsy,” was published this week in the Journal of the American Academy of Dermatology (JAAD). Both the SLNB and the GEP test, DecisionDx-Melanoma, were found to be significant predictors of metastatic risk in a multicenter cohort of 217 patients. The GEP test identified approximately 80% of patients at risk for disease progression. Importantly, combining the two prognostic methods showed that patients predicted to be high risk based on the GEP test alone had similar rates of disease progression whether they were SLNB positive or negative. Further, patients who were SLNB negative and also predicted to be low risk using the GEP test had lower rates of disease progression than the SLNB negative group as a whole.
“We know that a positive sentinel lymph node biopsy result identifies 25 to 35 percent of patients who will die from melanoma. The study data show that combined use of SLNB and the gene expression profile test could identify greater than 80 percent of patients with a specificity similar to SLNB alone, giving physicians and patients actionable information for the management of melanoma,” commented Pedram Gerami, M.D., a study author and Associate Professor of Dermatology, Director of Melanoma Research at the Northwestern Skin Cancer Institute, Northwestern University.
Primary tumor tissue from 217 Stage I, II, III, or IV cutaneous melanoma patients with documented sentinel lymph node biopsy (SLNB) results was analyzed using the DecisionDx-Melanoma test under a multicenter, prospectively-planned, archival tissue study protocol. The predictive accuracy of the DecisionDx-Melanoma and SLNB prognostic tools were evaluated individually and in combination to assess primary endpoints of disease-free survival (DFS), distant metastasis free survival (DMFS), and overall survival (OS).
As background, sentinel lymph node biopsy is an invasive prognostic procedure used to stage primary melanoma, and is considered among the best tests for identifying high risk or aggressive disease. Given their risk of disease progression, SLNB positive patients are upstaged for baseline imaging, increased monitoring frequency, clinical trial opportunities, adjuvant therapy, and consideration for a lymphatic completion dissection. SLNB has been shown to identify approximately 30% of patients who will ultimately develop metastatic disease and be at risk of death from melanoma. DecisionDx-Melanoma is a noninvasive test developed to identify high risk disease regardless of other diagnostic tests, such as AJCC stage and SLNB status. Using tissue from the primary melanoma, the DecisionDx-Melanoma test measures the expression of 31 genes and stratifies patients as either low risk Class 1 or high risk Class 2.
Independently, the GEP and SLNB tests were shown to stratify patients according to their risk (univariate analysis using Cox proportional hazards p<0.0001 for GEP for all endpoints, SLNB for DFS and DMFS; SLNB for OS p=0.0099).
Multivariate analysis found GEP Class to be independent of SLNB status for all endpoints (p<0.0001) and SLNB status to be independent of GEP Class for DFS (p=0.008) and DMFS (p=0.001) but not OS (p=0.11).
Combining the GEP and SLNB tests showed improvements in stratifying patients who were SLNB negative. The SLNB negative group as a whole had a DFS of 55%. Using the GEP test to further stratify those patients resulted in identification of a higher risk (Class 2) sub-group of SLNB negative patients who had a DFS of 35%. Likewise, SLNB negative patients who were predicted to be low risk (Class 1) using the GEP had a DFS of 83%.
“Similar to our first clinical validation study, this second validation study shows the ability of the DecisionDx-Melanoma test to accurately identify high risk disease,” said Derek Maetzold, President and CEO of Castle Biosciences. “Patients with a Class 2 GEP result have an elevated risk of developing subsequent disease regardless of SLNB status. The test provides clinicians with a method to accurately identify metastatic risk so that management plans can be matched to the patient’s risk of disease progression.”
DecisionDx-Melanoma has been used to analyze archived tumor samples from more than 600 melanoma patients in prospectively designed archival tissue studies. The initial clinical validation of DecisionDx-Melanoma was published earlier this year in the journal Clinical Cancer Research. More information about the test and disease can be found at www.skinmelanoma.com.
The paper can be accessed at: http://dx.doi.org/10.1016/j.jaad.2015.01.009