nCounter® Breast Cancer 360™ Panel
Helping Your Research
Want a system that provides a unique 360° view of gene expression for the breast tumor, microenvironment, and immune response? If yes, then you have found the right product. The Human nCounter Breast Cancer 360 panel and data analysis report helps researchers quickly decode the complexities of breast cancer biology, develop novel breast cancer gene signatures, and categorize disease heterogeneity using 48 biological signatures including signatures based upon the validated PAM50 and Tumor Inflammation Signature (TIS) assays. Get the most out of your panel by quickly distilling a large amount of data into actionable signatures measuring variables crucial to breast tumor-immune interaction.
Inspired by systems biology approaches to cancer research, NanoString’s 360 Series Panel Collection gives you a 360° view of gene expression by combining carefully-curated content involved in the biology of the tumor, microenvironment, and the immune response into a single holistic assay. Each panel contains the 18-gene Tumor Inflammation Signature (TIS) that measures a peripherally-suppressed, adaptive immune response and has been shown to correlate with response to checkpoint inhibitors.
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Product Information
Includes expertly curated 776 genes across 23 categories of breast cancer tumor biology to support the evaluation of pathways and process, as well as novel signature development.
Content included in the Breast Cancer 360 panel allows for a more comprehensive measurement of biological variables crucial to tumor progression and response to a wide range of treatments. Research signatures are enriched with potentially predictive genes involved in proliferation, endothelium, angiogenesis, cytotoxicity, stroma, inflammatory chemokines, and apoptosis.
- 48 signatures including two analytically validated signatures- PAM50 and Tumor Inflammation Signature
- 10 research-focused signatures and 30 novel signatures measuring important tumor and immune activities
- adapted to decode breast cancer biology in concert
Analytically Validated Signatures
PAM50 Signature1,2
Included with the Breast Cancer 360 panel is the PAM50 Signature. This 50-gene signature measures a gene expression profile that allows for the classification of breast cancer into four biologically distinct subtypes and a prognostic score.
- PAM50 Subtype
- Luminal A
- Luminal B
- HER2-Enriched
- Basal-like
- Prosigna Score / Risk of Recurrence
Tumor Inflammation Signature3
Included with the Breast Cancer 360 panel is the Tumor Inflammation Signature. This 18-gene signature measures activity known to be associated with response to PD-1/PD-L1 inhibitors pathway blockade3.
- Includes 4 areas of immune biology used to determine peripherally suppressed immune response and the identification of “hot” or “cold” tumors
- Antigen Presenting Cells
- T Cell/NK presence
- IFNγ Biology
- T Cell Exhaustion
- Tissue-of-origin agnostic (Pan-cancer)
- Potential surrogate for PD-L1 and mutational load in research setting4
View publication and video.
360 Series Product Comparison
Fully-annotated gene lists in Excel format are available for each of the 360 Panels. The table below compares the biology coverage of the 360 Panels across the tumor, microenvironment, and the immune response to that of the PanCancer Panels Collection.
Related Resources
Publications
Presence of onco-fetal neighborhoods in hepatocellular carcinoma is associated with relapse and response to immunotherapy
Onco-fetal reprogramming of the tumor ecosystem induces fetal developmental signatures in the tumor microenvironment, leading to immunosuppressive features. Here, we employed single-cell RNA sequencing, spatial transcriptomics and bulk RNA sequencing to delineate specific cell subsets involved in hepatocellular carcinoma (HCC) relapse and response to immunotherapy.
Molecular analysis of XPO1 inhibitor and gemcitabine–nab‐paclitaxel combination in KPC pancreatic cancer mouse model
Background: The majority of pancreatic ductal adenocarcinoma (PDAC) patients experience disease progression while on treatment with gemcitabine and nanoparticle albumin‐bound (nab)‐paclitaxel (GemPac) necessitating the need for a more effective treatment strategy for this refractory disease. Previously, we have demonstrated that nuclear exporter protein exportin 1 (XPO1) is a valid therapeutic target in PDAC, and the selective inhibitor of nuclear export selinexor (Sel) synergistically enhances the efficacy of GemPac in pancreatic cancer cells, spheroids and patient‐derived tumours, and had promising activity in a phase I study.
Spatial transcriptomic interrogation of the tumour-stroma boundary in a 3D engineered model of ameloblastoma
Stromal cells are key components of the tumour microenvironment (TME) and their incorporation into 3D engineered tumour-stroma models is essential for tumour mimicry. By engineering tumouroids with distinct tumour and stromal compartments, it has been possible to identify how gene expression of tumour cells is altered and influenced by the presence of different stromal cells.
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