New Biopsy Technology Analyzes Multiple Tumor Tissue Biomarkers Simultaneously
|
By HospiMedica International staff writers Posted on 12 Jan 2022 |

A next-generation biopsy tool will enable scientists and clinicians to simultaneously profile many biomarkers in cells and tissues.
Researchers at the University of California, Irvine (Irvine, CA, USA) have developed a new biopsy technology that can profile multiple tumor microenvironment biomarkers simultaneously, revealing cellular spatial organization and interactions that will help advance personalized disease diagnosis and treatment. Current single-biomarker biopsies lack the ability to analyze many different markers and often fail to predict patient outcomes.
Called the Multi Omic Single-scan Assay with Integrated Combinatorial Analysis, the fluorescence imaging-based technology can spatially profile a large number of mRNA and protein markers in cells and tissues, including clinical tumor tissues. Their study showed that MOSAICA enables direct, highly multiplexed biomarker profiling in a 3D spatial context using a single round of staining and imaging instead of the repeated processing steps typically needed in conventional methods. Clinicians and scientists will now have a holistic view of the different immune and cancer cell types in tumor tissues, providing greater insight for determining patient prognosis and treatment.
“Spatial biology is a new science frontier and mapping out each cell and its function in the body at both the molecular and tissue level is fundamental to understanding disease and developing precision diagnostics and therapeutics,” said Weian Zhao, Ph.D., UCI professor of pharmaceutical sciences and study co-corresponding author. “Many cancer immunotherapeutics, including immune checkpoint inhibitors, don’t work and scientists realized that was because of the spatial organization of all the tumor tissue cell types, which dictates drug efficacy. The MOSAICA can characterize the spatial cellular compositions and interactions in the tumor immune microenvironment in biopsies to inform personalized diagnosis and treatment.”
Related Links:
University of California, Irvine
Latest Surgical Techniques News
- Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
- New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
- Robot-Assisted Brain Angiography Improves Procedural Outcomes
- Brain Mapping Technology Enhances Precision in Brain Tumor Resection
- Handheld Robotic System Expands Options for Total Knee Surgery
- VR Experience Reduces Patient Anxiety Before Kidney Stone Procedure
- Injectable Mini Livers Offer Hope for Patients Awaiting Transplant
- Pulsed Field Ablation Technology Cleared in Europe for Persistent AFib
- AI-Powered Imaging Brings Real-Time Margin Clarity to Breast Cancer Surgery
- Minimally Invasive Device Safely Treats Challenging Brain Aneurysms
- Surgical Robot Makes Complex Liver Tumor Surgery Safer and Less Invasive
- Neurostimulation Implant Reduces Seizure Burden in Drug-Resistant Epilepsy
- Minimally Invasive Procedure Effectively Treats Small Kidney Cancers
- Fluorescence Probe Paired with Engineered Enzymes Lights Up Tumors for Easier Surgical Removal
- Novel Hydrogel Could Become Bone Implant of the Future
- Skull Implant Design Could Shape Surgical Outcomes
Channels
Artificial Intelligence
view channel
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read more
New AI Approach Monitors Brain Health Using Passive Wearable Data
Brain health spans cognitive and emotional functions and can fluctuate even in adults without diagnosed disease. Detecting early changes remains difficult in routine care and burdens specialty services... Read moreCritical Care
view channel
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read more
First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs
Pulmonary hypertension is a progressive, life‑threatening disease that is frequently missed early because symptoms such as dyspnea are nonspecific and diagnostic delays can exceed two years.... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel







