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Related Experiment Video

Updated: Dec 20, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
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Digital spatial profiling application in breast cancer: a user's perspective.

Amy E McCart Reed1,2, James Bennett3,4, Jamie R Kutasovic3,5

  • 1Centre for Clinical Research, University of Queensland, Herston, Brisbane, Australia. amy.reed@uq.edu.au.

Virchows Archiv : an International Journal of Pathology
|May 28, 2020
PubMed
Summary
This summary is machine-generated.

Precision medicine in oncology requires advanced biomarker analysis. Digital spatial profiling (DSP) technology reveals significant intra-tumoural heterogeneity in breast cancer, guiding targeted cell population selection for improved diagnostics.

Keywords:
Breast cancerDSPDigital spatial profiling

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Area of Science:

  • Oncology
  • Pathology
  • Biotechnology

Background:

  • Precision medicine is transforming oncology and pathology standards of care.
  • Increased need for simultaneous assessment of multiple biomarkers due to intra-tumoural heterogeneity.
  • Understanding biomarker expression localization within the tumour microenvironment is critical.

Purpose of the Study:

  • To apply Digital Spatial Profiling (DSP) technology to breast cancer samples.
  • To quantify intra-tumoural heterogeneity of immunological and tumour markers.
  • To demonstrate the need for focused selection of target cell populations using DSP.

Main Methods:

  • Utilized nanoString™ DSP technology with the nCounter® barcoding platform.
  • Applied an 'off the shelf' cancer panel and a custom-conjugated E-cadherin antibody.
  • Spatially resolved and digitally quantified protein expression in breast cancer tissues.

Main Results:

  • Quantified extensive intra-tumoural heterogeneity in immunological and tumour markers.
  • Highlighted the necessity of selecting specific target cell populations for analysis.
  • Demonstrated DSP's capability in high-plex protein quantification with spatial context.

Conclusions:

  • DSP technology offers significant potential for advancing breast cancer research.
  • DSP can improve standard operating procedures in diagnostic pathology.
  • Accurate assessment of biomarker heterogeneity is crucial for precision oncology.