Study to leverage deep learning-enabled analysis of the aggregation of real-world multimodal data to validate predictive signatures associated with response to immunotherapy and prognosis of patients with stage IV non-small cell lung cancer
Large-scale, multicentric real-world study aims to enroll 4,000 patients from approximately 30 sites across North America, Europe, and Latin America
BOSTON and LAUSANNE, Switzerland, December 1, 2021 — SOPHiA GENETICS SA (Nasdaq: SOPH), the creator of a global data pooling and knowledge sharing platform that advances data-driven medicine, announced today the launch of their DEEP-Lung-IV clinical study (NCT04994795). The study leverages deep learning-enabled analysis of the aggregation of multimodal clinical, biological, genomic and radiomics data to identify and validate predictive signatures associated with response to immunotherapy and prognosis of patients with metastatic non-small cell lung cancer (NSCLC).
Over the last decade, immunotherapy has revolutionized the treatment landscape for patients diagnosed with stage IV NSCLC and has become the standard of care in the frontline setting for patients without oncogene-activating mutations. Despite the clinical promise of immunotherapy, significant challenges remain as the majority of NSCLC patients fail to respond to immune checkpoint inhibitors. Today, PD-L1 is the only standard predictive biomarker for immune checkpoint inhibitor efficacy. However, it remains a very suboptimal biomarker with several well-characterized issues limiting its clinical utility. Thus, an urgent need exists to discover new predictive biomarkers of response to immunotherapy.
SOPHiA GENETICS’ DEEP-Lung-IV clinical study aims to predict immunotherapy treatment response at first evaluation at the individual patient level using data across multiple modalities including genomics, radiomics, clinical and biological data. The study also aims to validate an algorithm that will allow the prediction of outcomes at the individual patient such as progression-free survival (PFS) and overall survival (OS). This predictive model will help identify patients that are likely to benefit from immunotherapy versus those that are not, as well as stratify patients according to risk, helping clinicians make more informed therapeutic decisions for their patients and supporting biopharma to ensure the right patients are selected for clinical trials.
“We are very excited about the opportunity to validate multimodal predictive models through such an innovative large-scale, multicentric, real-world clinical study. We aim to generate entirely novel actionable insights to improve clinical outcomes for patients with stage IV NSCLC treated with immunotherapy and develop next-generation patient stratification strategies to support the selection of the right patients for clinical trials” said Dr. Philippe Menu, Chief Medical Officer at SOPHiA GENETICS. “The analytical power of the multimodal SOPHiA GENETICS platform applied to this important clinical question illustrates the potential benefit for patients in embracing a future of Data-Driven Medicine.”
To learn more about the DEEP-Lung-IV clinical study, please visit https://clinicaltrials.gov/ct2/show/NCT04994795.
About SOPHiA GENETICS:
SOPHiA GENETICS is a healthcare technology company dedicated to establishing the practice of data-driven medicine as the standard of care and for life sciences research. It is the creator of the SOPHiA DDM™ Platform, a cloud-based SaaS platform capable of analyzing data and generating insights from complex multimodal data sets and different diagnostic modalities. The SOPHiA DDM™ Platform and related solutions, products and services are currently used by more than 780 hospital, laboratory, and biopharma institutions globally.
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