Price
$85.00
USD
One of our agents will contact you
By clicking the “Subscribe” button, you agree to our Terms and Conditions and Privacy Policy.
Intended Use
The TSO Comp assay is designed to detect clinically relevant genomic alterations in solid malignancies. It serves two primary functions:
Companion Diagnostic (CDx) Identification
Determines eligibility for targeted therapies based on genomic biomarkers, as specified in the approved drug labeling.
Example: NTRK1/2/3 fusions → VITRAKVI® (larotrectinib); RET fusions → RETEVMO® (selpercatinib) for non-small cell lung cancer (NSCLC).
Comprehensive Tumor Profiling
Broad analysis of genomic variants supports evidence-based treatment decisions beyond CDx claims.
Helps oncologists assess tumor mutational burden (TMB), DNA/RNA fusion events, and other actionable mutations.
Technology: Next-Generation Sequencing (NGS)
Instrument: Illumina NextSeq 550Dx
Sample type: Formalin-fixed, paraffin-embedded (FFPE) tissue
Nucleic acids analyzed: DNA and RNA
Genes assessed: 517 DNA genes for somatic mutations; 24 RNA genes for fusion detection
Variant types: Single nucleotide variants (SNVs), multi-nucleotide variants (MNVs), insertions/deletions (indels ≤ 24 bp), RNA fusions, EGFR RNA splice variants, tumor mutational burden (TMB)
Turnaround time: 10 days
Validation: Clinically relevant variants confirmed using orthogonal methods.
1. Actionable Cancer Genomics
Genomic profiling is essential for understanding tumor biology and selecting targeted therapies. SomaticCheck+ detects mutations that influence cancer development, progression, and treatment response, including:
Oncogenic driver mutations (e.g., BRAF V600E, EGFR L858R, KRAS G12C)
Tumor suppressor alterations (e.g., TP53, PTEN, CDKN2A)
Fusions and splice variants (e.g., ALK, RET, NTRK fusions)
Immunotherapy-related biomarkers (e.g., TMB status)
2. Personalized Treatment Selection
By identifying clinically significant alterations, the SomaticCheck+ test enables precision therapy, optimizing patient outcomes through:
Targeted therapies (e.g., tyrosine kinase inhibitors, BRAF inhibitors)
Evaluation of immunotherapy response (e.g., high-TMB tumors)
Assessment of eligibility for clinical trials
3. Tumor Mutational Burden (TMB) and Immunotherapy Guidance
TMB is a key biomarker for predicting response to immune checkpoint inhibitors. SomaticCheck+ provides a validated TMB score, helping oncologists determine which patients may benefit from immunotherapy, particularly those with a high mutational burden.
The TSO Comp verification study, conducted by Genuvi, evaluated the analytical performance of the assay across three key validation parameters:
1. Analytical Accuracy
Objective: Assess the precision of variant detection.
Method: 48 FFPE clinical samples (24 DNA, 24 RNA) were analyzed using orthogonal sequencing methods to confirm results.
Results: High sensitivity and specificity across all variant types.
2. Analytical Precision (Reproducibility)
Objective: Evaluate test consistency across multiple runs, technicians, and instruments.
Method: Replicate testing of FFPE samples using different sequencing runs and operators.
Results: High intra-run and inter-run concordance rates.
3. Reportable Range
Objective: Define the range of variants reliably detected by the assay.
Results: Accurate detection across all 517 selected DNA genes and 24 RNA fusion genes.
Companion Diagnostic (CDx): Identifies patients eligible for FDA-approved targeted therapies.
Comprehensive Tumor Profiling: Provides broad genomic insights beyond standard testing.
TMB Calculation: Supports immunotherapy decision-making.
Multigene Panel (517 DNA + 24 RNA): Detects SNVs, indels, fusions, and splice variants in a single test.
High Sensitivity and Specificity: Verified against orthogonal sequencing methods.
Fast Turnaround Time (10 days): Enables rapid, evidence-based treatment decisions.
The SomaticCheck+ test represents a major advancement in precision oncology, offering oncologists an NGS-based, FDA-approved, and clinically validated approach to identify treatable mutations across a wide range of solid tumors. By integrating tumor genomic profiling into clinical workflows, oncologists can optimize treatment selection and personalization, ultimately improving patient outcomes.
✅ FDA-approved and clinically validated
✅ Covers 517 DNA fusion genes and 24 RNA fusion genes
✅ Identifies key biomarkers for targeted therapies and immunotherapy
✅ Provides a critical TMB score for evaluating immunotherapy response
✅ Fast turnaround (10 days) for rapid clinical decision-making
For oncologists, molecular pathologists, and clinical researchers, SomaticCheck+ is an essential tool for delivering precise, next-generation cancer care in today’s evolving oncology landscape.
References
Stransky N, Cerami E, Schalm S, Kim JL, Lengauer C. The landscape of kinase fusions in cancer. Nat Commun. 2014;5:4846. doi:10.1038/ncomms5846
Boland GM, Piha-Paul SA, Subbiah V, et al. Clinical next-generation sequencing to identify actionable aberrations in a phase I program. Oncotarget. 2015;6(24):20099–20110. doi:10.18632/oncotarget.4040
Massard C, Michiels S, Ferté C, et al. High-throughput genomics and clinical outcomes in hard-to-treat advanced cancers: results of the MOSCATO 01 trial. Cancer Discov. 2017;7(6):586–595. doi:10.1158/2159-8290.CD-16-1396
Harris MH, DuBois SG, Glade Bender JL, et al. Multicenter feasibility study of tumor molecular profiling to inform therapeutic decisions in advanced pediatric solid tumors: the Individualized Cancer Therapy (iCat) study. JAMA Oncol. 2016;2(5):608–615. doi:10.1001/jamaoncol.2015.5689
Parsons DW, Roy A, Yang Y, et al. Diagnostic performance of clinical tumor sequencing and germline whole-exome sequencing in children with solid tumors. JAMA Oncol. 2016;2(5):616–624. doi:10.1001/jamaoncol.2015.5699
Zehir A, Benayed R, Shah RH, et al. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. Nat Med. 2017;23(6):703–713. doi:10.1038/nm.4333
Tray N, Weber JS, Adams S. Predictive biomarkers for checkpoint immunotherapy: current status and challenges for clinical application. Cancer Immunol Res. 2018;6(10):1122–1128. doi:10.1158/2326-6066.CIR-18-0214
Samstein RM, Lee CH, Shoushtari AN, et al. Tumor mutational load predicts survival after immunotherapy across multiple cancer types. Nat Genet. 2019;51(2):202–206. doi:10.1038/s41588-018-0312-8
U.S. Food and Drug Administration (FDA). FDA approves first-line immunotherapy for patients with MSI-H/dMMR metastatic colorectal cancer. https://www.fda.gov/news-events/press-announcements/fda-approves-first-line-immunotherapy-patients-msi-hdmmr-metastatic-colorectal-cancer
. Published 2020. Accessed March 30, 2022.
U.S. Food and Drug Administration (FDA). FDA approves pembrolizumab for adults and children with TMB-H solid tumors. https://www.fda.gov/drugs/drug-approvals-and-databases/fda-approves-pembrolizumab-adults-and-children-tmb-h-solid-tumors
. Published 2020. Accessed March 30, 2022.
Illumina. TruSight Oncology UMI Reagents Technical Note. https://www.illumina.com/content/dam/illumina-marketing/documents/products/datasheets/trusight-oncology-umi-reagents-datasheet-1000000050425.pdf
. Published 2018. Accessed March 30, 2022.
Pierian. Genomic Knowledge Base. https://pieriandx.com/genomic-knowledge-base
. Accessed March 30, 2022.
Illumina. TMB and MSI Status Analysis with TruSight Oncology 500. https://www.illumina.com/content/dam/illumina-marketing/documents/products/appnotes/trusight-oncology-500-tmb-analysis-1170-2018-009.pdf
. Published 2018. Accessed March 30, 2022.
Beroukhim R, Mermel CH, Porter D, et al. The landscape of somatic copy-number alteration across human cancers. Nature. 2010;463(7283):899–905. doi:10.1038/nature08822
Green MR, Vicente-Dueñas C, Romero-Camarero I, et al. Transient expression of Bcl6 is sufficient for oncogenic function and induction of mature B-cell lymphoma. Nat Commun. 2014;5:3904. doi:10.1038/ncomms4904
Piskol R, Ramaswami G, Li JB. Reliable identification of genomic variants from RNA-seq data. Am J Hum Genet. 2013;93(4):641–651. doi:10.1016/j.ajhg.2013.08.008