nCounter®
PanCancer Progression Panel
Helping Your Research
Cancer progression involves multiple processes and mechanisms that are highly interconnected. The nCounter PanCancer Progression Panel lets you perform multiplex gene expression analysis with 770 genes from each step in the cancer progression process including: angiogenesis, extracellular matrix remodeling (ECM), epithelial-to-mesenchymal transition (EMT) and metastasis.
- Comprehensive gene expression analysis of cancer progression
- Quantify gene expression of metastatic growth and suppressor genes
- Rapidly and easily screen samples for biomarker discovery or drug mechanism of action to support your research
- Customizable with up to 55 additional user-defined genes with Panel Plus option
- 3D-enabled for multi-analyte analysis with Vantage 3D™ Assays
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.
How It Works
Progression Panel Gene Coverage
The following is a pictorial description of the processes and key genes included in the PanCancer Progression Panel
Panel Selection Tool
Find the gene expression panel for your research with easy to use panel pro
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Product Information
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.
Publications
Spatial and Transcriptomic Analysis of Perineural Invasion in Oral Cancer.
PURPOSE: Perineural invasion (PNI), a common occurrence in oral squamous cell carcinomas, is associated with poor survival. Consequently, these tumors are treated aggressively.
Identification and prognostic analysis of biomarkers to predict the progression of pancreatic cancer patients.
Background: Pancreatic cancer (PC) is a malignancy with a poor prognosis and high mortality. Surgical resection is the only “curative” treatment.
Sympathetic axonal sprouting induces changes in macrophage populations and protects against pancreatic cancer.
Neuronal nerve processes in the tumor microenvironment were highlighted recently. However, the origin of intra-tumoral nerves remains poorly known, in part because of technical difficulties in tracing nerve fibers via conventional histological preparations.
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