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AVENIO Tumor Profiling Kits
Overview
The AVENIO Tumor Profiling Kits are a portfolio of NGS assays that enable in-house targeted profiling or comprehensive genomic profiling (CGP) for clinical research. Through an integrated end-to-end workflow, AVENIO Kits offer a versatile solution to evaluate solid tumors from DNA extracted from formalin-fixed paraffin-embedded (FFPE) tissue or plasma samples (FFPE samples only for CGP).
Key advantages of AVENIO Tumor Profiling Kits
- Matched tissue and liquid biopsy (ctDNA) panels (same genes, gene regions and hybrid-capture workflow) for AVENIO Targeted, Expanded, and Surveillance Kits to facilitate concordance analysis
- Detection of all four mutation classes SNVs (single nucleotide variants), InDels (insertions or deletions), fusions, and CNVs (copy number variants)1
- A streamlined, end-to-end workflow from extraction to analysis and variant reporting in 5 days
- Includes reagents for DNA extraction, library prep and target enrichment; sample input QC; robust bioinformatics, and secondary analysis
Tumor profiling kits
AVENIO Tumor Tissue
CGP Kit
Designed to match the content of the 324-gene FoundationOne® CDx panel, the assay detects four classes of genomic alterations as well as genomic signatures: TMB, MSI, LOH.
AVENIO Tumor Tissue
Targeted Kit
A 17 gene (81kb) pan-cancer assay that contains guideline-aligned biomarkers, including those identified by the U.S. National Comprehensive Cancer Network (NCCN).2
AVENIO Tumor Tissue
Expanded Kit
A 77 gene (192kb) pan-cancer assay that contains 17 genes in the NCCN and other guidelines, plus 60 emerging biomarkers investigated in clinical research.
AVENIO ctDNA
Targeted Kit
A 17 gene (81kb) pan-cancer assay containing genes in NCCN guidelines and optimized for lung cancer and colorectal cancer research.
AVENIO ctDNA
Expanded Kit
A 77 gene (192kb) pan-cancer assay containing genes in the NCCN guidelines and emerging biomarkers, and optimized for lung cancer and colorectal cancer research.
- Data on file.
- National Comprehensive Cancer Network. October 15, 2016.
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