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New Multi-Omic AI-Driven Initiative for Immuno-Oncology Biomarker Development
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id="main-content"> <div class="resource-single"> <div class="header bg-primary-light"> <div class="container-wrapper"> <div class="wide-container header-container"> <div class="header-content flex-1"> <div class="heading-smallcaps"> Biomarkers & Precision Medicine | Industry Spotlights & Insight Articles </div> <h1 class="heading"> New Multi-Omic AI-Driven Initiative for Immuno-Oncology Biomarker Development </h1> <div class="byline"> Edited by Tom Cohen | 29 February 2024 </div> <div class="abstract"> The team aims to establish a consortium of cancer centres to join the project of developing biomarkers from multi-omic analysis. </div> </div> <div class="header-graphic flex-1"> <img src="https://oxfordglobal.com/hubfs/New%20Multi-Omic%20AI-Driven%20Initiative%20for%20Immuno-Oncology%20Biomarker%20Development.png" class="header-graphic-image"> </div> </div> </div> </div> <div class="container-wrapper"> <div class="wide-container"> <div class="content"> <div class="content-body text-gap"> <p>Swiss spin-out of ETH Zürich <a href="https://scailyte.com/news/scaipod-revolutionizing-immuno-oncology-with-multi-omics-and-ai-at-scale/" rel="noopener" target="_blank">Scailyte has announced</a> the development of a multi-omic and single cell analysis initiative called ScaiPod which is aimed at developing biomarkers for the advancement of precision immuno-oncology.</p> <p>The initiative has its sights set on further understanding the reasons why immune-checkpoint inhibitors (ICIs) do not always work, including mechanisms of resistance to ICIs and immune-related adverse effects.</p> <p>Scailyte will build a data lake that incorporates single cell multi-omic, imaging, and clinical data which will be used to <a href="https://oxfordglobal.com/immuno/events/immuno-us-2024" rel="noopener" target="_blank">develop immuno-oncology biomarker assays</a>.</p> <p>The company hopes that these assays can then be used identify the best patient populations for clinical trials, de-risk the drug development process, and guide oncological treatment options.</p> <p>Biomarker and clinical assay development will be chiefly handled by Scailyte’s AI-driven multi-omic analysis platform called ScaiVision.</p> <p><strong>RELATED:</strong></p> <ul> <li><a href="https://oxfordglobal.com/immuno/resources/spatial-biology-technique-in-tumor-microenvironment" rel="noopener" target="_blank">Decoding the Language of Tumor Immune Microenvironment: A Deep Dive into Spatial Biology Techniques</a></li> <li><a href="https://oxfordglobal.com/immuno/resources/spatial-transcriptomics-for-immuno-oncology-and-analysis-of-the-tumour-microenvironment" rel="noopener" target="_blank">Spatial Transcriptomics for Immuno-Oncology and Analysis of the Tumour Microenvironment</a></li> <li><a href="https://oxfordglobal.com/immuno/resources/uncovering-mechanisms-of-immunotherapy-response-resistance-with-single-cell-spatial-multiomics" rel="noopener" target="_blank">Uncovering Mechanisms of Immunotherapy Response & Resistance with Single Cell & Spatial Multiomics</a></li> </ul> <h1>A foundational study</h1> <p>Scailyte also announced a foundational study of ScaiPod which will be conducted in collaboration with a research group from the University of Zürich.</p> <p>Prof. Mitch Levesque, Associate Professor of Translational Dermato-Oncology Department, University Hospital of Zürich and University of Zürich, will lead the group in studying 250 melanoma patients.</p> <p>Levesque and his Zürich colleagues had previously published <a href="https://pubmed.ncbi.nlm.nih.gov/29309059/" rel="noopener" target="_blank">a well-cited paper in <em>Nature Medicine</em></a> which revealed that one immune cell population was predictive of ICI response, while another is prognostic for patient survival.</p> <p>“We identified a subpopulation of circulating monocytes in the PBMC compartment as a predictive biomarker for ICI treatment response. However, a large, multicentre cohort of melanoma patients is still needed to confirm potential biomarker signatures,” explained Levesque.</p> <p>He continued: “Therefore, applying a standardized workflow to generate a comprehensive multi-omics dataset in melanoma is critical. In this sense, joining ScaiPod is a unique, exciting opportunity to clinically validate our findings”</p> <p>Levesque’s group will first collect PBMCs and tumoral tissues from patients before they begin ICI therapy. The team will then analyse these samples to identify predictive biomarkers.</p> <h1>A multi-omic automated clinical workflow</h1> <p>The ScaiPod initiative will then bring in partners from the Zürich University of Applied Sciences to design an automated clinical omics workflow with a view toward scaling-up and syndicating the workflow to other cancer centres.</p> <p>Scailyte Chief Clinical Advisor and Professor at the University of Texas at Austin, Prof. Laura QM Chow said of the project:</p> <p>“ScaiPod can generate invaluable insights into cancer biology, helping us to provide personalized treatment to patients. The prospect of establishing a consortium across US and European cancer centres and designing clinical trials aimed at developing companion diagnostics is an exciting and highly rewarding endeavour.”</p> <div class="content-body-footer"> </div> </div> <div class="content-sidebar"> <div class="related-articles"> <h3 class="center">Related Resources</h3> <div class="article"> <a href="/nextgen-biomed/resources/new-research-into-newborn-gut-microbiome-identifies-three-pioneer-bacteria-for-babies-microbiota-development"> <div class="cover-graphic"> <img src="https://oxfordglobal.com/hubfs/New%20Research%20into%20Newborn%20Gut%20Microbiome%20Identifies%20Three%20%E2%80%9CPioneer%20Bacteria%E2%80%9D%20for%20Babies%E2%80%99%20Microbiota%20Development.jpg" class="cover-graphic-image"> </div> </a><div class="content"><a href="/nextgen-biomed/resources/new-research-into-newborn-gut-microbiome-identifies-three-pioneer-bacteria-for-babies-microbiota-development"> <h4> New Research into Newborn Gut 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href="/nextgen-biomed/resources/ai-enabled-predictive-biomarker-for-patient-response-to-immunotherapy-using-easy-to-measure-features"> <h4> AI-Enabled Predictive Biomarker for Patient Response to Immunotherapy Using Easy-to-Measure Features </h4> <div class="abstract"> The predictive biomarker does not require multi-omic or screening data, but rather routine clinical features. </div> <div class="read-more"> <a href="/nextgen-biomed/resources/ai-enabled-predictive-biomarker-for-patient-response-to-immunotherapy-using-easy-to-measure-features" class="read-more-link">Read More</a> </div></a> </div> </div> </div> </div> </div> </div> </div> </div> <div class="newsletter-cta"> <h2 class="heading">Subscribe to our newsletter</h2> <div class="message"> Sign up for our monthly Newsletter to keep up with all things NextGen Biomed </div> <div class="button-wrapper"> <a href="#" class="button hs-cta-trigger-button hs-cta-trigger-button-177053686099">Newsletter Sign-Up</a> </div> </div> </main> 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