Evidence map›Paper›PMID 24809843›Full record

ReviewApplied immunohistochemistry & molecular morphology : AIMM

Multiplex quantitative measurement of mRNAs from fixed tissue microarray sections.

Michael Armani, Michael Tangrea, Brian Yang, Alex Rosenberg, Kris Ylaya, Jennifer Morris, Jaime Rodriguez-Canales, Jeffrey Hanson, Benjamin Shapiro, Michael R Emmert-Buck and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in Applied immunohistochemistry & molecular morphology : AIMM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 2 institutions in 1 country.

Michael Armani*Pathogenetics Unit ‡Tissue Array Research Program, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda †Fischell Department of Bioengineering and the Institute for Systems Research §Department of Mechanical Engineering, University of Maryland, College Park, MD.
Michael Tangrea
Brian Yang
Alex Rosenberg
Kris Ylaya
Jennifer Morris
Jaime Rodriguez-Canales
Jeffrey Hanson
Benjamin Shapiro
Michael R Emmert-Buck
Elisabeth Smela
Stephen M Hewitt
Center for Cancer Research · USUniversity of Maryland, College Park · US

Funding

Experimental Pathology Laboratory (EPL)ZICBC011638 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEWITT, STEPHEN · 2015 to 2025
$16.6M
Tissue Array Research ProgramZICBC010923 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEWITT, STEPHEN · 2009 to 2014
$4.7M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

The development of prognostic and diagnostic biomarkers, such as those from gene expression studies, requires independent validation in clinical specimens. Immunohistochemical analysis on tissue microarrays (TMAs) of formalin-fixed paraffin-embedded tissue is often used to increase the statistical power, and it is used more often than in situ hybridization, which can be technically limiting. Herein, we introduce a method for performing quantitative gene expression analysis across a TMA using an adaptation of 2D-RT-qPCR, a recently developed technology for measuring transcript levels in a histologic section while maintaining 2-dimensional positional information of the tissue sample. As a demonstration of utility, a TMA with tumor and normal human prostate samples was used to validate expression profiles from previous array-based gene discovery studies of prostate cancer. The results show that 2D-RT-qPCR expands the utility of TMAs to include sensitive and accurate gene expression measurements.

Indexed as

Feasibility StudiesGene Expression ProfilingHigh-Throughput Screening AssaysHumansImmunohistochemistryMaleParaffin EmbeddingProstateProstatic NeoplasmsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSensitivity and SpecificityTissue Array AnalysisRNA, Messenger

Identifiers

PMID24809843
PMCPMC4022353
OpenAlexW2330169958

What OpenQuestion holds

Textmetadata
LicenceTDM
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.