Evidence map›Paper›PMID 32458049›Full record

ArticleVirchows Archiv : an international journal of pathology2020

Digital spatial profiling application in breast cancer: a user's perspective.

Amy E McCart Reed, James Bennett, Jamie R Kutasovic, Emarene Kalaw, Kaltin Ferguson, Joe Yeong, Peter T Simpson, Sunil R Lakhani

Abstract read
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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Digital spatial profiling for pathologists.Virchows Archiv : an international journal of pathology · 2025
    Article
  3. Review
  4. Review
  5. Review
  6. High-Plex Spatial Profiling of RNA and Protein Using Digital Spatial Profiler.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Amy E McCart ReedCentre for Clinical Research, University of Queensland, Herston, Brisbane, Australia. amy.reed@uq.edu.au.ORCID https://orcid.org/0000-0001-5387-2791
James BennettCentre for Clinical Research, University of Queensland, Herston, Brisbane, Australia.
Jamie R KutasovicCentre for Clinical Research, University of Queensland, Herston, Brisbane, Australia.ORCID https://orcid.org/0000-0001-5410-3636
Emarene KalawCentre for Clinical Research, University of Queensland, Herston, Brisbane, Australia.
Kaltin FergusonCentre for Clinical Research, University of Queensland, Herston, Brisbane, Australia.
Joe YeongInstitute of Molecular and Cell Biology, A*STAR, Singapore, Singapore.
Peter T SimpsonCentre for Clinical Research, University of Queensland, Herston, Brisbane, Australia.ORCID https://orcid.org/0000-0002-4816-8289
Sunil R LakhaniCentre for Clinical Research, University of Queensland, Herston, Brisbane, Australia.ORCID https://orcid.org/0000-0003-4067-2760

Funding

National Health and Medical Research Council APP1113867
6 · The paper itself

Abstract

The disciplines of oncology and pathology are at present experiencing a wave of changes as precision medicine becomes embedded as standard-of-care. Consequently, the need to assess increasing numbers of biomarkers simultaneously has become more urgent and recognising the vast intra-tumoural heterogeneity, including within the microenvironment, requires a complex dimensional understanding of the localisation of the biomarker expression. Digital spatial profiling (DSP; nanoString™) technology spatially resolves and digitally quantifies proteins in a highly multiplexed assay, underpinned by the nCounter® barcoding platform. We present the application of this technology to breast cancer samples. Applying the 'off the shelf' cancer panel and a custom-conjugated E-cadherin antibody, we quantify vast intra-tumoural heterogeneity in immunological and tumour markers, and demonstrate a need for focussed selection of target cell populations. The technology offers enormous potential not only for making research advances but also for improving standard operating procedures in diagnostic applications.

Indexed as

Breast NeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingHumansNanotechnologyTissue Array AnalysisBiomarkers, TumorBreast cancerDigital spatial profilingDSP

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.