Introducing: QIAseq Pan-cancer Multimodal Panel for comprehensive genomic profiling of solid tumors and heme malignancies
A single day sample to sequencing workflow for simultaneous enrichment and profiling of 605 relevant DNA variant and RNA fusion biomarkers found across different cancers as well as assessment of TMB and MSI, from one sample input as low as 10ng
- SNVs, Indels, CNV, other complex variants
- RNA fusions with both known and novel partners
- TMB, MSI
The 605 loci 1.44Mb Panel
• Targets relevant genes and RNA fusions implicated in pathogenesis of solid and heme malignancies
- Genes targets: covers exonic regions + 5-10 bases of exon/intron junctions
- RNA fusions: targets transcripts in COSMIC, covers exons in both 3’ and 5’ directions
- Includes full coverage of TERT promoter
• Enables assessment of key immunotherapy biomarkers:
- Tumor mutational burden (TMB): coverage of >1Mb enables statistically significant assessment of tumor mutation load
- MSI status: 26 loci with well established utility for correlation to treatment response
A Unique and Innovative Workflow
Powered by the innovative QIAseq Multimodal technology built with QIAGEN’s proprietary Single Primer Extension (SPE) technology at the core, profile DNA and RNA biomarkers with confidence while enabling time and cost efficiencies, enabling a truly comprehensive workflow for genomic profiling.
- Achieve comprehensive and sensitive variant detection within targets with 98.8% coverage uniformity that results in 97% target specificity and 98.9% base-level coverage at 20x.
- Increase compatibility with samples of limited availability with one low sample input, ≥50% less than similar protocols
- Reduce hands-on time and sequencing costs with one combined efficient single day sample to sequencing workflow, up to 2 days faster, with over 50 steps less than similar workflows, and lower sequencing requirement
- Get faster turn-around times, rapid onboarding and improved scalability with one pre-optimized automation-ready Sample to Insight solution