nCounter® Tumor Signaling 360 Panel

Gain a holistic view of the biology of the tumor, microenvironment, and immune response with an emphasis on dysfunctional cell signaling in cancer. Identify targets for novel therapies and understand the mechanism of action for current ones with a comprehensive look at 40+ pathways involved in tumor biology, immune evasion, and remodeling of the microenvironment.

Tumor Signaling Wheel Image

  • Profile altered signaling pathways in cancer
  • Identify targets for novel therapeutics
  • Understand the mechanism of action of targeted therapies
  • Determine extent of anti-tumor immune response with the Tumor Inflammation Signature
  • Quantify the presence and relative abundance of 14 different immune cell types
Tumor Signaling
Cellular Energetics (Hs/Mm) Sustained Proliferation (Hs/Mm) Evading Growth Suppressors (Hs/Mm) Enabling Replicative Immortality (Hs/Mm) Genomic Instability & Mutation (Hs/Mm) Resisting Cell Death (Hs/Mm)
105/104 Genes 223/221 Genes 79/79 Genes 48/48 Genes 111/111 Genes 23/23 Genes
Autophagy Androgen Signaling Cell Cycle Immortality & Stemness DNA Damage & Repair Apoptosis
Glucose Metabolism EGFR Signaling   Senescence Epigenetic & Transcriptional Regulation TNF Superfamily
Glutamine Metabolism ERBB2 Signaling     p53 Signaling  
Lipid Metabolism Estrogen Signaling        
mTOR Signaling FGFR Signaling        
Nrf2 & Oxidative Stress Hedgehog        
  MAPK Signaling        
  MET Signaling        
  Myc        
  Notch Signaling        
  PI3K-Akt Signaling        
  TGF-beta Signaling        
  Wnt Signaling        
Immune Response Microenvironment
Immune Evasion (Hs/Mm) Tumor-Promoting Inflammation (Hs/Mm) Activating Invasion and Metastasis (Hs/Mm) Angiogenesis (Hs/Mm)
122/124 Genes 178/171 Genes 146/146 Genes 67/67 Genes
Antigen Presentation Chemokine Signaling Cell Adhesion & Motility HIF1 Signaling
B cell Function Inflammation ECM Remodeling & Metastasis PDGF Signaling
Cytotoxicity Interferon Response EMT VEGF Signaling
Myeloid Immune Evasion JAK-STAT Signaling Hippo Signaling  
T cell Co-stimulation NF-kB Signaling    
T cell Exhaustion      
TCR Signaling      
Tumor Antigen      

The Tumor Inflammation Signature includes 18 functional genes known to be associated with response to PD-1/PD-L1 inhibitors.

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Includes four areas of Immune Biology: IFN-ү-responsive genes related to antigen presentation, chemokine expression, cytotoxic activity, and adaptive immune resistance genes.

The tumor inflammation gene expression signature highlights the complex biology of the host immune microenvironment.

18-Gene Tumor Inflammation Signature
CCL5 CD8A STAT1 PD-L2/PDCD1LG2 HLA-DQA1 HLA-DRB1
CXCL9 CXCR6 TIGIT PD-L1/CD274 HLA-E CMKLR1
CD27 IDO1 LAG3 CD276 PSMB10 NKG7

View publication and video.

1. Ayers, Mark, et al. "IFN-y-related mRNA profile predicts clinical response to PD-1 blockade." The Journal of Clinical Investigation 127.8 (2017).

Cell Type Description
B Cells  B cells are the primary mediators of the humoral immune response, bearing antigen-specific B cell receptors and producing antibodies that can enable the immune system to respond to a broad variety of antigens. B cells can also function as MHC class II antigen presenting cells to stimulate T cell immunity.
T Cells T-cells mediate cell-based immunity by recognizing primarily peptide antigens displayed on MHC class I or class II and either producing cytokines or directly killing the presenting cell.
TH1 CD4+ T cell subset that produces IL2 and Interferon-gamma to promote cellular immunity by acting on CD8+ T Cells, NK Cells and Macrophages
Regulatory T Cells (Tregs) CD4+ T Cells that suppress effector B and T Cells and play a central role in suppression of the immune response and tolerance to self-antigens
CD8+ T Cells A subset of T cells that are capable of binding cognate-antigen expressing cells via class I MHC and directly lysing them via perforin and granzymes.
Exhausted CD8+ T Cells T-cells overstimulated by antigen can develop an "exhausted" phenotype, in which they are no longer effective in targeting antigen-bearing cells.
Cytotoxic Cells All cells capable of cytotoxic activity, which can include T, NKT, and NK-cells.
Dendritic Cells Professional antigen presenting cells that internalize, process, and present antigens to lymphocytes via MHC class I and class II along with costimulatory signals to initiate cellular immune responses.
Macrophages Pluripotent cells with critical roles in initiating innate and adaptive immune responses, phagocytosing abnormal cells, and regulating wound healing and tissue repair.
Mast Cells Mast cells release histamine containing granules and other signals in order to promote inflammation and regulate allergic responses.
Neutrophils Neutrophils are highly abundant cells that respond early to sites of infection or inflammation, phagocytose cellular debris, and promote downstream immunity.
Natural Killer (NK) Cells Cytotoxic cells of the innate immune system that are a significant source of interferon-gamma and are capable of directly killing targeted cells via detection of a loss in MHC surface expression.
NK CD56dim cells The amount of CD56 present on an NK cell is indicative of its age and differentiation state; CD56 dim cells are mature NK cells, more commonly found in peripheral blood than secondary lymphoid tissues and have the greatest cytolytic activity.

 

Feature Specifications
Number of Targets 780 (Human or Mouse), including internal reference genes
Sample Input - Standard (No amplification required) 25-300 ng
Sample Input - Low Input As little as 1 ng with nCounter Low Input Kit (sold separately)
Sample Type(s) Cultured cells/cell lysates, sorted cells, FFPE-derived RNA, total RNA, fragmented RNA, PBMCs, and whole blood/plasma
Customizable Add up to 30 unique genes with Panel-Plus and up to 10 custom protein targets
Time to Results Approximately 24 hours
Data Analysis nSolver™ Analysis Software (RUO)

 

  1. Danaher, P et al. Gene Expression Markers of Tumor Infiltrating Leukocytes. J Immunother Cancer. 2017;21(5):18.
  2. Bieging KT and Attardi LD. Deconstructing p53 Transcriptional Networks in Tumor Suppression. Trends Cell Biol. 2012; 22 (2), 97-106.
  3. Bild, AH et al. Oncogenic Pathway Signatures in Human Cancers as a Guide to Targeted Therapies. Nature. 2006;439 (7074), 353-7.
  4. Chiaradonna, F. Ras-dependent Carbon Metabolism and Transformation in Mouse Fibroblasts. Oncogene. 2006;25 (39), 5391-404.
  5. Cordenonsi, M et al. The Hippo Transducer TAZ Confers Cancer Stem Cell-Related Traits on Breast Cancer Cells. Cell. 2011;147(4):759-72.
  6. Hanahan D and Weinberg, RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646-74.
  7. Jia, P and Zhao Z. Characterization of Tumor-Suppressor Gene Inactivation Events in 33 Cancer Types. Cell Reports. 2019;26, 496–506. 
  8. Malta, TM et al. Machine Learning Identifies Stemness Features Associated With Oncogenic Dedifferentiation. Cell. 2018;173(2): 338-354.e15.
  9. Sanchez-Vega F et al. Oncogenic Signaling Pathways in The Cancer Genome Atlas. Cell. 2018; 173 (2), 321-337.e10.
  10. Semenza, GL Hypoxia-inducible Factor 1: Oxygen Homeostasis and Disease Pathophysiology. Trends Mol Med. 2001;7(8):345-50.
  11. Singh, A et al. RNAi-mediated Silencing of Nuclear Factor erythroid-2-related Factor 2 Gene Expression in Non-Small Cell Lung Cancer Inhibits Tumor Growth and Increases Efficacy of Chemotherapy. Cancer Res. 2008; 68 (19), 7975-84.
  12. Sun, J et al. A systematic analysis of FDA-approved anticancer drugs. BMC Systems Biology. 2017, 11(Suppl 5):87.
  13. Sweet-Cordero A et al. An Oncogenic KRAS2 Expression Signature Identified by Cross-Species Gene-Expression Analysis. Nat Genet. 2005; 37 (1), 48-55.
  14. Way, GP et al. Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas. Cell Rep. 2018;23(1): 172-180.e3.
Product Product Description Quantity Catalog Number
nCounter Human Tumor Signaling 360 Panel plus Panel Standard Includes 780 genes;20 internal reference genes for data normalization 12 Reactions XT-CSPS-H-T360-12
nCounter Mouse Tumor Signaling 360 Panel plus Panel Standard Includes 780 genes;20 internal reference genes for data normalization 12 Reactions XT-CSPS-M-T360-12
nCounter Master Kit (MAX or FLEX Systems) Reagents and Cartridges Reagents, cartridges, and consumables necessary for sample processing on nCounter MAX and FLEX Systems 12 Reactions NAA-AKIT-012
nCounter SPRINT Cartridge 1 Cartridge, 12 lanes Sample Cartridge for nCounter SPRINT System 12 Reactions SPRINT-CAR-1.0
nCounter SPRINT Reagent Pack nCounter SPRINT Reagent Pack containing Reagents A, B, C, and Hybridization Buffer 192 Reactions SPRINT-REAG-KIT

 

 

 

For Research Use Only. Not for use in diagnostic procedures.