Improving DxMultiomics, Powered by Your Choices

We're building DxMultiomics to be The Central Nexus of Biotech Intelligence. To ensure a seamless experience and continuous improvement, we utilize website analytics. These tools help us monitor site performance, understand how users navigate the platform, and identify opportunities to make your research journey more efficient. We handle this data with the utmost respect for your privacy, and you can choose what works best for you.

Illumina enhances flagship assay to accelerate access to comprehensive tumor profiling
News Image

Illumina has released the TruSight Oncology 500 v2 (TSO 500 v2), a significantly upgraded version of its flagship cancer research assay. The TSO 500 v2 is a comprehensive genomic profiling (CGP) tool designed to accelerate research in precision medicine by providing a detailed molecular profile of a tumor from a small tissue sample. This new assay features several key enhancements that address common challenges in research labs. A major addition is the inclusion of homologous recombination deficiency (HRD) status for all samples at no extra cost, leveraging a gold-standard Genomic Instability Scoring (GIS) algorithm licensed from Myriad Genetics. This integration expands the potential for researchers to study the HRD biomarker across a wider range of cancer types, which could lead to new insights for HRD-based therapies.

Beyond its new capabilities, the TSO 500 v2 also offers a more streamlined and efficient workflow. It requires a lower tissue input and boasts a faster turnaround time, which are crucial for labs dealing with limited samples and tight schedules. The assay also has a strong focus on sustainability and user experience, with new kit configurations that use 50% less packaging and 70% fewer tubes, and a color-coded system that makes the workflow easier and less prone to error. With integrated and automated data analysis, broad compatibility across sequencers, and a commitment to providing a complete workflow solution, Illumina aims to enable more efficient and scalable CGP, ultimately advancing cancer therapy research and improving access to personalized treatment.