SOPHiA GENETICS Launches New Residual Acute Myeloid (RAM) Application
Rhea-AI Summary
SOPHiA GENETICS has announced the launch of its new Residual Acute Myeloid (RAM) Application, aimed at enhancing measurable residual disease (MRD) testing. This application is designed to support the monitoring of Acute Myeloid Leukemia (AML), one of the most common types of leukemia in adults. Over 50% of AML patients relapse within three years of remission, making post-treatment monitoring critical. The RAM Solution, part of SOPHiA's DDM Platform, offers next-generation sequencing (NGS)-based MRD testing with high sensitivity, detecting one cancer cell among 10,000. This tool provides longitudinal variant monitoring, comprehensive MRD reports, and rapid results within four days. The solution will be available globally this summer and aims to improve patient outcomes by detecting early signs of relapse.
Positive
- Launch of new RAM Application expanding oncology portfolio.
- High sensitivity NGS-based MRD testing detects one cancer cell among 10,000.
- Provides longitudinal variant monitoring and comprehensive MRD reports.
- Rapid MRD results available within four days.
- Global availability planned for this summer.
Negative
- No specific financial data or revenue projections provided.
- No information on the cost or pricing of the new application.
News Market Reaction 1 Alert
On the day this news was published, SOPH declined 2.33%, reflecting a moderate negative market reaction.
Data tracked by StockTitan Argus on the day of publication.
Novel application supports measurable residual disease (MRD) testing to help monitor cancer and stay ahead of relapse
Acute Myeloid Leukemia (AML) represents about one percent of all cancers worldwide, yet is one of the most common forms of leukemia in adults1. Over 50 percent of AML patients relapse within 3 years after achieving complete remission2, therefore post-treatment monitoring is imperative for AML patients, particularly within the first two years, to help quickly detect any signs of relapse3. MRD solutions can help inform post-remission therapy and identify early relapse, and serve as a primary endpoint in clinical trials, helping researchers detect even the smallest trace of cancer and support better patient outcomes.
"AML unfortunately still remains an area of high unmet medical need today, with associated suboptimal patient outcomes. MRD measurement and monitoring has a critical role to play, for example by enabling research into the most optimal sequencing of therapies," said Philippe Menu, M.D., PhD., Chief Medical Officer and Chief Product Officer, SOPHiA GENETICS. "We are proud to contribute to the fight against AML through our SOPHiA DDM™ RAM Solution. In particular we feel that the capability to seamlessly track longitudinally the evolution of individual mutations over time through a dedicated add-on module of our SOPHiA DDM™ Platform has the potential to be a game-changer for clinical researchers."
Next-generation sequencing (NGS)-based MRD testing is among the most advanced in cancer screening and monitoring, and can be found only with highly sensitive methods. The SOPHiA DDM™ RAM Solution provides users with the confidence that MRD will detect even one cancer cell among 10,000 cells. This application will allow users to stay ahead of disease response with the analytical capabilities of the SOPHiA DDM™ Platform, enabling sensitive variant detection down to
Customers using the SOPHiA DDM™ RAM Solution will have access to longitudinal variant monitoring, allowing them to visualize the mutational landscape for each patient and its evolution over time. The solution also provides users with the most up-to-date databases and customizable reporting features to generate graphical representations and comprehensive MRD reports.
Additionally, the SOPHiA DDM™ RAM Solution will continually hone its machine learning algorithms to provide the most accurate MRD results in just four days.
Representatives from SOPHiA GENETICS are available at AMP (Association for Molecular Pathology)
For more information on SOPHiA GENETICS, visit SOPHiAGENETICS.com and connect on LinkedIn.
About SOPHiA GENETICS
SOPHiA GENETICS (Nasdaq: SOPH) is a cloud-native healthcare technology company on a mission to expand access to data-driven medicine by using AI to deliver world-class care to patients with cancer and rare disorders across the globe. It is the creator of the SOPHiA DDM™ Platform, which analyzes complex genomic and multimodal data and generates real-time, actionable insights for a broad global network of hospital, laboratory, and biopharma institutions. For more information, visit SOPHiAGENETICS.com and connect with us on LinkedIn.
SOPHiA GENETICS products are for Research Use Only and not for use in diagnostic procedures unless specified otherwise. The information in this press release is about products that may or may not be available in different countries and, if applicable, may or may not have received approval or market clearance by a governmental regulatory body for different indications for use. Please contact support@sophiagenetics.com to obtain the appropriate product information for your country of residence.
SOPHiA GENETICS Forward-Looking Statements:
This press release contains statements that constitute forward-looking statements. All statements other than statements of historical facts contained in this press release, including statements regarding our future results of operations and financial position, business strategy, products, and technology, as well as plans and objectives of management for future operations, are forward-looking statements. Forward-looking statements are based on our management's beliefs and assumptions and on information currently available to our management. Such statements are subject to risks and uncertainties, and actual results may differ materially from those expressed or implied in the forward-looking statements due to various factors, including those described in our filings with the
1 https://www.cancer.org/cancer/types/acute-myeloid-leukemia/about/key-statistics.html | ||
3 https://onlinelibrary.wiley.com/doi/full/10.1111/apm.12926 | ||
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SOURCE SOPHiA GENETICS