Evidence map›Paper›PMID 22438942›Full record

ArticlePloS one2012

Development of multigene expression signature maps at the protein level from digitized immunohistochemistry slides.

Gregory J Metzger, Stephen C Dankbar, Jonathan Henriksen, Anthony E Rizzardi, Nikolaus K Rosener, Stephen C Schmechel

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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.

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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

6 authors.

Gregory J MetzgerDepartment of Radiology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Stephen C Dankbar
Jonathan Henriksen
Anthony E Rizzardi
Nikolaus K Rosener
Stephen C Schmechel

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
UAB / UMN SPORE in Pancreatic CancerP50CA101955 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BUCHSBAUM, DONALD J · 2010 to 2014
$11.1M
Multi-parametric MRI Determination of Prostate Cancer Aggressiveness and ExtentR01CA131013 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2008 to 2012
$1.6M
NCI NIH HHS P30 CA077598NCI NIH HHS P30 CA77598NCI NIH HHS P50 CA101955NCI NIH HHS R01 CA131013NCI NIH HHS R01 CA131013-02S1
6 · The paper itself

Abstract

Molecular classification of diseases based on multigene expression signatures is increasingly used for diagnosis, prognosis, and prediction of response to therapy. Immunohistochemistry (IHC) is an optimal method for validating expression signatures obtained using high-throughput genomics techniques since IHC allows a pathologist to examine gene expression at the protein level within the context of histologically interpretable tissue sections. Additionally, validated IHC assays may be readily implemented as clinical tests since IHC is performed on routinely processed clinical tissue samples. However, methods have not been available for automated n-gene expression profiling at the protein level using IHC data. We have developed methods to compute expression level maps (signature maps) of multiple genes from IHC data digitized on a commercial whole slide imaging system. Areas of cancer for these expression level maps are defined by a pathologist on adjacent, co-registered H&E slides, allowing assessment of IHC statistics and heterogeneity within the diseased tissue. This novel way of representing multiple IHC assays as signature maps will allow the development of n-gene expression profiling databases in three dimensions throughout virtual whole organ reconstructions.

Indexed as

Acid PhosphataseAntigens, CD34Biomarkers, TumorDatabases, GeneticGene Expression ProfilingHumansImmunohistochemistryKi-67 AntigenMalePhosphopyruvate HydrataseProstatic NeoplasmsProtein Array AnalysisProtein Tyrosine PhosphatasesSoftwareAcid PhosphataseAntigens, CD34Biomarkers, TumorKi-67 AntigenPhosphopyruvate Hydrataseprostatic acid phosphataseProtein Tyrosine Phosphatases

Identifiers

PMID22438942
PMCPMC3305321

What OpenQuestion holds

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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.