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Accelerate your Oncology Research

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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 From an Egyptian Papyrus to the Hallmarks of Cancer: A Journey through the Development of Knowledge in Oncology Research
Blog Going Beyond PDL-1. Q&A with Dr. Nina Radosevic- Robin, MD.
Blog Q&A with Dr. Lisa Butterfield, PhD: Cancer Vaccines & Adoptive Cell Transfer
Blog Experts Discuss Digital Spatial Profiling in Immuno-Oncology
Tradeshow/Conference Advancing Science: A Virtual Oncology Conference

Spatial proteomic characterization of HER2-positive breast tumors through neoadjuvant therapy predicts response.

The addition of HER2-targeted agents to neoadjuvant chemotherapy has dramatically improved pathological complete response (pCR) rates in early-stage, HER2-positive breast cancer. Nonetheless, up to 50% of patients have residual disease after treatment, while others are likely overtreated.

Molecular risk markers related to local tumor recurrence at histological margin-free endoscopically resected early gastric cancers: A pilot study.

Local recurrences in early gastric cancers (EGCs) after complete endoscopic submucosal dissection (ESD) remain problematic. Here, we investigated the spatially sequential molecular changes in various cancer-related proteins along the axis of the histologically clear but recurrent resection margins (TRM) to determine the appropriate tumor-free margin distance and potential molecular risk markers related to local recurrence.

PAM50 Intrinsic Subtype Profiles in Primary and Metastatic Breast Cancer Show a Significant Shift toward More Aggressive Subtypes with Prognostic Implications.

Background: PAM50 breast cancer intrinsic subtyping adds prognostic information in early breast cancer; however, the role in metastatic disease is unclear. We aimed to identify PAM50 subtypes in primary tumors (PTs) and metastases to outline subtype changes and their prognostic role.