Evidence map›Paper›PMID 26430536›Full record

ArticleJournal of pathology informatics2015

TissueCypher(™): A systems biology approach to anatomic pathology.

Jeffrey W Prichard, Jon M Davison, Bruce B Campbell, Kathleen A Repa, Lia M Reese, Xuan M Nguyen, Jinhong Li, Tyler Foxwell, D Lansing Taylor, Rebecca J Critchley-Thorne

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Biomarker Use in Barrett's Esophagus Surveillance.The American journal of gastroenterology · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Current Concepts for Diagnosing Non-Dysplastic and Dysplastic Barrett's Esophagus.Gastrointestinal endoscopy clinics of North America · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Utility of ancillary studies in the diagnosis and risk assessment of Barrett's esophagus and dysplasia.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Precision care for Barrett's esophagus.Translational gastroenterology and hepatology · 2018
    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

10 authors.

Jeffrey W PrichardDepartment of Pathology and Laboratory Medicine, Geisinger Medical Center, Danville, PA 17822, USA.
Jon M DavisonDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
Bruce B CampbellCernostics, Inc., 235 William Pitt Way, Pittsburgh, PA 15238, USA.
Kathleen A RepaCernostics, Inc., 235 William Pitt Way, Pittsburgh, PA 15238, USA.
Lia M ReeseCernostics, Inc., 235 William Pitt Way, Pittsburgh, PA 15238, USA.
Xuan M NguyenCernostics, Inc., 235 William Pitt Way, Pittsburgh, PA 15238, USA.
Jinhong LiDepartment of Pathology and Laboratory Medicine, Geisinger Medical Center, Danville, PA 17822, USA.
Tyler FoxwellDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
D Lansing TaylorDepartment of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Rebecca J Critchley-ThorneCernostics, Inc., 235 William Pitt Way, Pittsburgh, PA 15238, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent histologic methods for diagnosis are limited by intra- and inter-observer variability. Immunohistochemistry (IHC) methods are frequently used to assess biomarkers to aid diagnoses, however, IHC staining is variable and nonlinear and the manual interpretation is subjective. Furthermore, the biomarkers assessed clinically are typically biomarkers of epithelial cell processes. Tumors and premalignant tissues are not composed only of epithelial cells but are interacting systems of multiple cell types, including various stromal cell types that are involved in cancer development. The complex network of the tissue system highlights the need for a systems biology approach to anatomic pathology, in which quantification of system processes is combined with informatics tools to produce actionable scores to aid clinical decision-making.

aimsHere, we describe a quantitative, multiplexed biomarker imaging approach termed TissueCypher™ that applies systems biology to anatomic pathology. Applications of TissueCypher™ in understanding the tissue system of Barrett's esophagus (BE) and the potential use as an adjunctive tool in the diagnosis of BE are described. PATIENTS AND

methodsThe TissueCypher™ Image Analysis Platform was used to assess 14 epithelial and stromal biomarkers with known diagnostic significance in BE in a set of BE biopsies with nondysplastic BE with reactive atypia (RA, n = 22) and Barrett's with high-grade dysplasia (HGD, n = 17). Biomarker and morphology features were extracted and evaluated in the confirmed BE HGD cases versus the nondysplastic BE cases with RA.

resultsMultiple image analysis features derived from epithelial and stromal biomarkers, including immune biomarkers and morphology, showed significant differences between HGD and RA.

conclusionsThe assessment of epithelial cell abnormalities combined with an assessment of cellular changes in the lamina propria may serve as an adjunct to conventional pathology in the assessment of BE.

Indexed as

Barrett's esophagusbiomarkerscomputer visiondigital pathologyhigh-grade dysplasiamultiplexed immunofluorescencequantitative image analysisreactive atypiastromal cellsTissueCypher™

Identifiers

PMID26430536
PMCPMC4584447

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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.