Accelerate your Oncology Research

The aggressive pace of oncology research is characterized by large-scale, multidisciplinary efforts such as The Cancer Genome Atlas, The Human Protein Atlas, and Precision Medicine Initiative. With a broader and deeper understanding of the biology and signaling pathways that lead to cancer, scientists are better equipped to identify, characterize, and target biomarkers that can be translated into clinical applications. However, with these recent advancements comes a desperate need to understand the influence of the tumor microenvironment on cancer progression, evolution, and the resulting immune response. To make this next leap forward, scientists need tools that enable them to take an integrated, multi-omic, and 360° view of the tumor, immune response and microenvironment.

Challenges

Novel single-cell cancer genomics studies and spatial biology have led to new insights on tumor heterogeneity. NanoString’s GeoMx Digital Spatial Profiling (DSP) technology allows for a thorough exploration of the complex interactions with the tumor microenvironment through visualization and quantification of transcripts and proteins on individual tissue sections.

Coupled with nCounter expression panels focused on clinical research, immuno-oncology, cancer metabolism, and CAR-T cell therapy, NanoString provides solutions for every step of the way in cancer research, from bulk gene expression analysis to spatial profiling.

NanoString offers solutions that overcome the biggest challenges in cancer research:

  • The complex interactions between the tumor and microenvironment
  • A highly heterogeneous disease that leads to variable therapeutic response
  • An ever-increasing number of possible therapeutic targets and combination trials

NanoString’s nCounter oncology gene expression panel portfolio has driven innovation since its inception, starting with the initial Hallmarks of Cancer Panel Collection and the best-selling PanCancer Immune Profiling Panel and PanCancer Pathways Panel. Expanding on this, the 360 Series Panel Collection and Data Analysis Service allow researchers to better understand therapeutic response/mechanism of action, immune evasion, and the interplay between the tumor and microenvironment.

Case Studies

Biomarkers for adjuvant
therapy predict benefit in early stage triple negative breast cancer

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3d model of a cell

PanCancer IO 360
& GeoMx DSP Case Study – Pediatric Primary and Metastatic Osteosarcoma

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Case Study

Related Resources

View All Resources
Blog Post From an Egyptian Papyrus to the Hallmarks of Cancer: A Journey through the Development of Knowledge in Oncology Research
Blog Post Going Beyond PDL-1. Q&A with Dr. Nina Radosevic- Robin, MD.
Blog Post Q&A with Dr. Lisa Butterfield, PhD: Cancer Vaccines & Adoptive Cell Transfer
Blog Post How the Field of Immuno-Oncology is Changing Fast
App Note/Tech Note Ultra-High-Plex Spatial Proteogenomics of FFPE Tissue Sections

Publications

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Midkine expression by stem-like tumor cells drives persistence to mTOR inhibition and an immune-suppressive microenvironment.

mTORC1 is hyperactive in multiple cancer types1,2. Here, we performed integrative analysis of single cell transcriptomic profiling, paired T cell receptor (TCR) sequencing, and spatial transcriptomic profiling on Tuberous Sclerosis Complex (TSC) associated tumors with mTORC1 hyperactivity, and identified a stem-like tumor cell state (SLS) linked to T cell dysfunction via tumor-modulated immunosuppressive macrophages.

Spatially resolved proteomic profiling identifies tumor cell CD44 as a biomarker associated with sensitivity to PD-1 axis blockade in advanced non-small-cell lung cancer.

Background: Most patients with advanced non-small-cell lung cancer (NSCLC) fail to derive significant benefit from programmed cell death protein-1 (PD-1) axis blockade, and new biomarkers of response are needed. In this study, we aimed to discover and validate spatially resolved protein markers associated with sensitivity to PD-1 axis inhibition in NSCLC.

Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma.

Tumors invade the surrounding tissues to progress, but the heterogeneity of cell types at the tumor-stroma interface and the complexity of their potential interactions hampered mechanistic insight required for efficient therapeutic targeting. Here, combining single-cell and spatial transcriptomics on human basal cell carcinomas, we define the cellular contributors of tumor progression.