nCounter® PanCancer
Immune Profiling Panel

Helping Your Research

Perform multiplex gene expression analysis in human or mouse with 770 genes from different immune cell types, common checkpoint inhibitors, CT antigens, and genes covering both the adaptive and innate immune response. The panel measures many features of the immune response to facilitate rapid development of clinical actionable gene expression profiles in the context of cancer immunotherapy.

  • Comprehensive profiling of the immune response optimized for immuno-oncology research
  • Identify tumor-infiltrating lymphocytes (TILs) for the tumor microenvironment
  • Assess mechanistic pathway activity for single or combination studies
  • Customizable with up to 55 additional user-defined genes with Panel Plus option
Pancancer immune profiling product area

 

The nCounter PanCancer Immune Profiling Panel is for cancer researchers that need more markers than is practical for RT-qPCR but don’t want the broad approach that next-gen sequencing (NGS) offers. The Panel is fully compatible with clinically relevant sample types such as fresh-frozen (FF) tissue, formalin-fixed, paraffin-embedded (FFPE) tumor sections, isolated immune cell populations such as PBMCs, and cell lysates. The panel may be used in conjunction with nCounter Panel Plus products for additional flexibility in experimental design.

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Product Information

Immune Cell Type Gene Coverage
Product Specifications
Product Comparison
Catalog Information
Immune Cell Type Gene Coverage
Product Specifications
Product Comparison

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.

Catalog Information

Related Resources

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Product Bulletin Hallmarks of Cancer – Product Bulletin
Whitepaper Multiplexed Cancer Immune Response Analysis – Whitepaper
Manual/Instructions NanoU Training Videos

Publications

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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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