Evidence map›Paper›PMID 32313087›Full record

ArticleScientific reports2020

Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis.

Rachel L Stewart, Anna P Matynia, Rachel E Factor, Katherine E Varley

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Digital spatial profiling for pathologists.Virchows Archiv : an international journal of pathology · 2025
    Article
  7. Article
  8. Article
  9. Spatial proximity of CD8NPJ breast cancer · 2025
    Article
  10. Article
  11. Review
  12. Applicability of Spatial Technology in Cancer Research.Cancer research and treatment · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Biomarkers derived from CmP signal network in triple negative breast cancers.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2023
    Review
  19. Review
  20. 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

4 authors at 3 institutions in 1 country.

Rachel L StewartDepartment of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY, USA.
Anna P MatyniaDepartment of Pathology, ARUP Laboratories, University of Utah Medical Center, University of Utah, Salt Lake City, UT, USA.
Rachel E FactorDepartment of Pathology, ARUP Laboratories, University of Utah Medical Center, University of Utah, Salt Lake City, UT, USA.
Katherine E VarleyDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA. kt.varley@hci.utah.edu.
University of Utah · USARUP Laboratories (United States) · USUniversity of Kentucky · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Institutional Career Development CoreKL2TR001996 · NCATS · UNIVERSITY OF KENTUCKY · PI BUSH, MATTHEW LEE, KELLY, THOMAS H. · 2016 to 2025
$7.1M
NCATS NIH HHS KL2 TR001996NCI NIH HHS P30 CA042014
6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype. Recent studies have shown that MHC class II (MHCII) expression and tumor infiltrating lymphocytes are important prognostic factors in patients with TNBC, although the relative importance of lymphocyte subsets and associated protein expression is incompletely understood. NanoString Digital Spatial Profiling (DSP) allows for spatially resolved, highly multiplexed quantification of proteins in clinical samples. In this study, we sought to determine if DSP could be used to characterize expression of MHCII and other immune related proteins in tumor epithelial versus stromal compartments of patient-derived TNBCs (N = 10) using a panel of 39 markers. We confirmed that a subset of TNBCs have elevated expression of HLA-DR in tumor epithelial cells; HLA-DR expression was also significantly higher in the tumors of patients with long-term disease-free survival when compared to patients that relapsed. HLA-DR expression in the epithelial compartment was correlated with high expression of CD4 and ICOS in the stromal compartment of the same tumors. We also identified candidate protein biomarkers with significant differential expression between patients that relapsed versus those that did not. In conclusion, DSP is a powerful method that allows for quantification of proteins in the immune microenvironment of TNBCs.

Indexed as

CD4 AntigensCell Line, TumorHLA-DR AntigensHumansInducible T-Cell Co-Stimulator ProteinLymphocytesNeoplasm ProteinsPrognosisRecurrenceStromal CellsTriple Negative Breast NeoplasmsTumor MicroenvironmentCD4 AntigensHLA-DR AntigensICOS protein, humanInducible T-Cell Co-Stimulator ProteinNeoplasm Proteins

Identifiers

PMID32313087
PMCPMC7170957
OpenAlexW3017039519

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.