On April 13, 2021 Castle Biosciences, Inc. (Nasdaq: CSTL), a skin cancer diagnostics company providing personalized genomic information to improve cancer treatment decisions, reported the publication of prospective, multi-center long-term outcomes data in cutaneous melanoma as impacted by DecisionDx-Melanoma (Press release, Castle Biosciences, APR 13, 2021, View Source [SID1234577986]). DecisionDx-Melanoma is Castle’s gene expression profile test that uses an individual patient’s tumor biology to predict risk of cutaneous melanoma metastasis or recurrence, as well as sentinel lymph node positivity, independent of traditional staging factors.
Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:
Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing
Schedule Your 30 min Free Demo!
The article, titled "Long-term outcomes in a multicenter, prospective cohort evaluating the prognostic 31-gene expression profile for cutaneous melanoma," was published in the peer-reviewed journal, JCO Precision Oncology.
Study background:
The study’s key objective was to demonstrate the prognostic value of DecisionDx-Melanoma with long-term follow-up that extends the assessment time period for a previously studied cohort. The study achieved its primary objective and expanded upon prior results to show the ability of the test to accurately identifying recurrence risk of patients with American Joint Committee on Cancer (AJCC) 8th Edition staging system early stage I-IIA disease.
Study results:
Consistent with previous prospective validation and performance studies, the DecisionDx-Melanoma test was significantly associated with the outcomes of recurrence-free (RFS), distant metastasis-free (DMFS) and overall survival (OS) in univariate analysis of patients diagnosed with stage I-III melanoma. The test’s result was also a significant, independent predictor of the same endpoints when compared to AJCC staging in multivariable analysis. Additionally, study authors conclude that combining DecisionDx-Melanoma test results with AJCC staging enhances sensitivity and negative predictive value over each approach alone, identifying those who may benefit from more or less intense follow-up. Further, accurate risk stratification by the DecisionDx-Melanoma test was demonstrated in the cohort of patients with stage I-IIA melanoma, a group that is currently recommended to receive low-intensity management but that contributes substantially to the number of patients who die from melanoma each year.
"The most impactful measures of appropriate melanoma management include survival time and the quality of that time post-diagnosis," said first author Eddy Hsueh, M.D., surgical oncologist at St. Louis University, St. Louis, MO. "In this study, we demonstrated that DecisionDx-Melanoma results are significant predictors of real-world recurrence and metastasis rates, which suggests that the test can provide clinically actionable information when making cancer management decisions in early-stage melanoma."
About DecisionDx-Melanoma
DecisionDx-Melanoma is a gene expression profile test that uses an individual patient’s tumor biology to predict individual risk of cutaneous melanoma metastasis or recurrence, as well as sentinel lymph node positivity, independent of traditional staging factors, and has been studied in more than 5,700 patient samples. Using tissue from the primary melanoma, the test measures the expression of 31 genes. The test has been validated in four archival risk of recurrence studies of 901 patients and six prospective risk of recurrence studies including more than 1,600 patients. To predict likelihood of sentinel lymph node positivity, the Company utilizes its proprietary algorithm, i31-GEP, to produce an integrated test result. i31-GEP is an artificial intelligence-based neural network algorithm (independently validated in a cohort of 1,674 prospective, consecutively tested patients with T1-T4 cutaneous melanoma) that integrates the DecisionDx-Melanoma test result with the patient’s traditional clinicopathologic features. Impact on patient management plans for one of every two patients tested has been demonstrated in four multicenter and single-center studies including more than 560 patients. The consistent performance and accuracy demonstrated in these studies provides confidence in disease management plans that incorporate DecisionDx-Melanoma test results. Through December 31, 2020, DecisionDx-Melanoma has been ordered more than 68,920 times for use in patients with cutaneous melanoma.