Presentations at EADO Highlight Potential Impact of Castle Biosciences’ DecisionDx®-Melanoma and DecisionDx®-SCC Tests on the Management of Patients with Skin Cancer
- Castle Biosciences introduces new data at EADO Congress showcasing the effectiveness of DecisionDx-Melanoma and DecisionDx-SCC tests in enhancing clinical decision-making for patients with melanoma and squamous cell carcinoma.
- The DecisionDx-Melanoma test accurately identifies patients who can safely forego sentinel lymph node biopsy (SLNB) and predicts the risk of recurrence, aiding in the development of appropriate treatment plans.
- Using the DecisionDx-Melanoma test to guide clinical decisions can result in a 30% cost savings compared to care based solely on American Joint Committee on Cancer (AJCC) stage.
- DecisionDx-SCC test demonstrates superior performance compared to a nomogram based on clinical and pathological factors, improving risk predictions for patients with high-risk squamous cell carcinoma.
- None.
Insights
When evaluating the clinical utility of diagnostic tests like Castle Biosciences' DecisionDx-Melanoma and DecisionDx-SCC, it is essential to consider their predictive accuracy and cost-effectiveness. The ability of DecisionDx-Melanoma to stratify patients based on the risk of sentinel lymph node biopsy (SLNB) and potential metastasis can lead to personalized treatment plans, impacting patient care and healthcare expenditure.
The reported 30% cost savings in melanoma care, if substantiated in real-world settings, could signify a substantial reduction in healthcare costs. Such savings are particularly important for commercial payers and could influence insurance coverage decisions. However, it is important to validate these findings across diverse populations and longer follow-up periods to ensure the test's reliability and cost-saving potential are consistent over time.
The economic implications of adopting molecular tests such as DecisionDx-Melanoma in clinical practice are noteworthy. The claim of a 30% cost reduction over five years suggests that the test could alleviate financial burdens on healthcare systems. This is especially relevant given the high costs associated with melanoma treatment, including surgical procedures, imaging and adjuvant therapies.
However, the analysis should extend beyond direct cost savings to include an assessment of the potential indirect costs or savings, such as those related to patient quality of life, long-term outcomes and the impact of potentially avoided overtreatment. Additionally, cost-effectiveness analyses should be peer-reviewed and include sensitivity analyses to ensure robustness against varying clinical and economic conditions.
From an oncologist's perspective, the clinical benefits of a test like DecisionDx-Melanoma extend beyond cost savings. The ability to accurately predict which patients may safely forego SLNB can reduce the risk of unnecessary surgeries and associated morbidities. However, the clinical community will require extensive evidence, including peer-reviewed publications and guideline endorsements, to widely adopt such a test.
Similarly, DecisionDx-SCC's reported superiority in predicting metastasis over traditional nomograms suggests an advancement in risk stratification for cutaneous squamous cell carcinoma. These findings could lead to more tailored surveillance and treatment strategies, potentially improving patient outcomes. Nevertheless, it is essential to corroborate these results with independent studies and real-world data to ensure the test's efficacy and applicability across different patient demographics.
If choosing to use a molecular test to rule-out a sentinel lymph node biopsy (SLNB) in patients diagnosed with melanoma, it is important to show that patients foregoing an SLNB have low risk outcomes; Castle’s poster on DecisionDx-Melanoma shows that patients foregoing an SLNB due to a DecisionDx-Melanoma test result have low risk outcomes
A second poster on DecisionDx-Melanoma shows that using the test’s results to guide clinical decision-making for patients with melanoma could result in
A third poster on DecisionDx-SCC highlights the superior performance of the test compared to a nomogram based on clinical and pathological factors and the ability of the test to predict metastases in
“Our DecisionDx-Melanoma test informs two questions: which patients can consider foregoing an SLNB, and what is the risk of recurrence so the most appropriate follow-up treatment plan can be implemented,” said Robert Cook, Ph.D., senior vice president of research and development at Castle Biosciences. “It is of high importance that when a test identifies patients with a low likelihood of a positive SLNB, and thus they could forgo this surgical procedure, the patients also have a low risk of metastatic outcomes. The data from our prospective, multicenter study show just that – SLNB-eligible patients who had a DecisionDx-Melanoma Class 1A (lowest risk) test result and made the decision with their physician to forego an SLNB had excellent outcomes during the follow-up period. We believe it is this kind of evidence that should be required in order for clinicians to safely adopt a molecular test that rules out an SLNB surgical procedure.
“Our second DecisionDx-Melanoma poster shows that the clinical use of our test is also associated with a
Castle will present the following posters at EADO:
DecisionDx-Melanoma
- Title: Patients who forego sentinel lymph node biopsy after 31-GEP testing are not harmed: A prospective, multicenter analysis
- Abstract: A-262
- Summary: This study shares data from Castle’s prospective, multicenter study of patients with T1-T2 CM tumors who were being considered for an SLNB. Within a median follow-up time of two years, none of the patients with low-risk DecisionDx-Melanoma test results (Class 1A) who decided to forego SNLB based on their results had a tumor recurrence. These study data support use of the DecisionDx-Melanoma test to inform SLNB decisions and show that it can identify patients at low risk of sentinel lymph node (SLN) positivity who may safely forego the SLNB procedure, reducing healthcare costs and procedure complications.
- Title: The health economic impact of the 31-gene expression profile test for treatment and surveillance management plans in patients with cutaneous melanoma
- Abstract: A-223
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Summary: The DecisionDx-Melanoma test has been validated to predict individual risk of SLNB positivity and five-year risk of recurrence and metastasis for patients with CM. This study explored the cost-savings impact of using the DecisionDx-Melanoma test to guide risk-aligned clinical decision-making versus using the current melanoma staging standard, a patient’s AJCC stage. Costs of National Comprehensive Cancer Network (NCCN) guideline-recommended practices for patients with melanoma that were evaluated in the study included: SLNB, clinical visit schedules, imaging surveillance and adjuvant treatment for eligible patients. The study determined that using DecisionDx-Melanoma test results to guide decision-making could save commercial payers more than
($3 million 30% cost savings per one million plan members over five years) compared to care guided by AJCC stage, with95% of such potential cost savings occurring during the first year post-diagnosis (year one projected savings of approximately ).$2.5 million
DecisionDx-SCC
- Title: Evaluating the performance of a clinicopathological prognostic nomogram and utility of the 40-gene expression profile (40-GEP) test in refining risk of metastasis in high-risk cutaneous squamous cell carcinoma (HR-cSCC) patients
- Abstract: A-128
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Summary: The DecisionDx-SCC test uses a patient’s tumor biology to independently predict risk of regional or distant metastasis in patients with high-risk SCC. The test has also been shown to improve the accuracy of risk predictions when used with other risk assessment approaches, including NCCN guidelines. This study evaluated the performance of a risk-stratification nomogram developed in
Europe (Rentroia-Pacheco, et al, 2023) in aU.S. cohort of high-risk SCC patients (n=760) and the additional prognostic value provided by the DecisionDx-SCC test. In the study, the nomogram misclassified nine out of 10 tumors that metastasized as low risk. When the same tumors were tested using DecisionDx-SCC,42% of those that the nomogram classified as low risk of metastasis were classified as high risk by the test, as well as70% of all tumors that metastasized. These data demonstrate that DecisionDx-SCC improves the accuracy of risk assessment based solely on clinicopathological risk factors, leading to more appropriate risk-aligned management plans for patients with high-risk SCC.
Castle’s abstracts can be found in the digital Book of Abstracts available for download on the EADO website.
About DecisionDx®-Melanoma
DecisionDx-Melanoma is a gene expression profile risk stratification test. It is designed to inform two clinical questions in the management of cutaneous melanoma: a patient’s individual risk of SLN positivity and a patient's personal risk of melanoma recurrence and/or metastasis. By integrating tumor biology with clinical and pathologic factors using a validated proprietary algorithm, DecisionDx-Melanoma is designed to provide a comprehensive and clinically actionable result to guide risk-aligned patient care. DecisionDx-Melanoma has been shown to be associated with improved patient survival and has been studied in more than 10,000 patient samples. DecisionDx-Melanoma’s clinical value is supported by 50 peer-reviewed and published studies, providing confidence in disease management plans that incorporate the test’s results. Through Dec. 31, 2023, DecisionDx-Melanoma has been ordered more than 150,000 times for patients diagnosed with cutaneous melanoma.
About DecisionDx®-SCC
DecisionDx-SCC is a 40-gene expression profile test that uses an individual patient’s tumor biology to predict individual risk of cutaneous squamous cell carcinoma metastasis for patients with one or more risk factors. The test result, in which patients are stratified into a Class 1 (low), Class 2A (higher) or Class 2B (highest) risk category, predicts individual metastatic risk to inform risk-appropriate management. Peer-reviewed publications have demonstrated that DecisionDx-SCC is an independent predictor of metastatic risk and that integrating DecisionDx-SCC with current prognostic methods can add positive predictive value to clinician decisions regarding staging and management.
About Castle Biosciences
Castle Biosciences (Nasdaq: CSTL) is a leading diagnostics company improving health through innovative tests that guide patient care. The Company aims to transform disease management by keeping people first: patients, clinicians, employees and investors.
Castle’s current portfolio consists of tests for skin cancers, Barrett’s esophagus, mental health conditions and uveal melanoma. Additionally, the Company has active research and development programs for tests in other diseases with high clinical need, including its test in development to help guide systemic therapy selection for patients with moderate-to-severe atopic dermatitis, psoriasis and related conditions. To learn more, please visit www.CastleBiosciences.com and connect with us on LinkedIn, Facebook, X and Instagram.
DecisionDx-Melanoma, DecisionDx-CMSeq, DecisionDx-SCC, MyPath Melanoma, DiffDx-Melanoma, TissueCypher, IDgenetix, DecisionDx-UM, DecisionDx-PRAME and DecisionDx-UMSeq are trademarks of Castle Biosciences, Inc.
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections. These forward-looking statements include, but are not limited to, statements concerning: the ability of DecisionDx-Melanoma test results to (i) result in
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Investor Contact:
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Media Contact:
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Source: Castle Biosciences Inc.
FAQ
How do DecisionDx-Melanoma and DecisionDx-SCC tests improve clinical decision-making?
What cost savings can be achieved by using the DecisionDx-Melanoma test?