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Updated: Jun 17, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
Digital spatial profiling for pathologists
Benedetta Donati1, Gloria Manzotti1, Federica Torricelli1
1Laboratory of Translational Research, Arcispedale Santa Maria Nuova, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Via Risorgimento 80, 42124, Reggio Emilia, Italy.
Digital Spatial Profiler (DSP) enables pathologists to spatially profile tumors in situ, combining morphology with genomic analysis. This technology reveals complex tumor heterogeneity across various cancer types, enhancing diagnostic capabilities.
Area of Science:
- Cancer research
- Pathology
- Genomics
- Spatial biology
Background:
- "Omics" technologies offer deep tumor profiling but struggle to capture full tumor complexity and spatial context.
- Pathologists prefer in situ assessments, like immunohistochemistry, over bulk profiling methods.
- Existing methods often fail to integrate morphological and genomic data effectively.
Purpose of the Study:
- To evaluate the feasibility and utility of the NanoString GeoMx® Digital Spatial Profiler (DSP) from a pathologist's viewpoint.
- To demonstrate DSP's capability in multiplex profiling of tissue slides guided by morphology.
- To showcase DSP's application in diverse neoplastic settings: breast carcinoma, anaplastic thyroid carcinoma, and biphasic mesothelioma.
Main Methods:
- Applied NanoString GeoMx® Digital Spatial Profiler (DSP) on tissue slides from three distinct cancer types.
- Utilized morphology-guided selection of regions of interest on hematoxylin-eosin stained slides.
- Performed multiplex profiling to digitally quantify target analytes in situ within specific tissue compartments.
Main Results:
- Successfully distinguished tumor cells from the microenvironment in breast carcinoma using two antibodies.
- Differentiated between epithelioid and sarcomatoid components in biphasic mesothelioma.
- Effectively separated anaplastic and well-differentiated areas in thyroid carcinoma.
Conclusions:
- Digital Spatial Profiler (DSP) is a promising tool integrating traditional histology with in situ digital profiling.
- DSP allows spatial assessment of tumors and their microenvironments, overcoming limitations of bulk genomic methods.
- Pathologists can leverage DSP to combine morphological and genomic analyses for advanced cancer progression studies.
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