Evidence map›Paper›PMID 24099521›Full record

ArticleBMC medical genomics2013

Molecular differential diagnosis of follicular thyroid carcinoma and adenoma based on gene expression profiling by using formalin-fixed paraffin-embedded tissues.

Aleksandra Pfeifer, Bartosz Wojtas, Malgorzata Oczko-Wojciechowska, Aleksandra Kukulska, Agnieszka Czarniecka, Markus Eszlinger, Thomas Musholt, Tomasz Stokowy, Michal Swierniak, Ewa Stobiecka and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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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

18 authors at 6 institutions in 2 countries.

Aleksandra PfeiferDepartment of Nuclear Medicine and Endocrine Oncology, Maria Skłodowska-Curie Memorial Cancer Center and Institute of Oncology, Gliwice Branch, Wybrzeże Armii Krajowej 15, Gliwice 44-101, Poland. bjarzab@io.gliwice.pl.
Bartosz Wojtas
Malgorzata Oczko-Wojciechowska
Aleksandra Kukulska
Agnieszka Czarniecka
Markus Eszlinger
Thomas Musholt
Tomasz Stokowy
Michal Swierniak
Ewa Stobiecka
Dagmara Rusinek
Tomasz Tyszkiewicz
Monika Kowal
Michal Jarzab
Steffen Hauptmann
Dariusz Lange
Ralf Paschke
Barbara Jarzab
The Maria Sklodowska-Curie National Research Institute of Oncology · PLLeipzig University · DEMartin Luther University Halle-Wittenberg · DEMedical University of Warsaw · PLSilesian University of Technology · PLUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferential diagnosis between malignant follicular thyroid cancer (FTC) and benign follicular thyroid adenoma (FTA) is a great challenge for even an experienced pathologist and requires special effort. Molecular markers may potentially support a differential diagnosis between FTC and FTA in postoperative specimens. The purpose of this study was to derive molecular support for differential post-operative diagnosis, in the form of a simple multigene mRNA-based classifier that would differentiate between FTC and FTA tissue samples.

methodsA molecular classifier was created based on a combined analysis of two microarray datasets (using 66 thyroid samples). The performance of the classifier was assessed using an independent dataset comprising 71 formalin-fixed paraffin-embedded (FFPE) samples (31 FTC and 40 FTA), which were analysed by quantitative real-time PCR (qPCR). In addition, three other microarray datasets (62 samples) were used to confirm the utility of the classifier.

resultsFive of 8 genes selected from training datasets (ELMO1, EMCN, ITIH5, KCNAB1, SLCO2A1) were amplified by qPCR in FFPE material from an independent sample set. Three other genes did not amplify in FFPE material, probably due to low abundance. All 5 analysed genes were downregulated in FTC compared to FTA. The sensitivity and specificity of the 5-gene classifier tested on the FFPE dataset were 71% and 72%, respectively.

conclusionsThe proposed approach could support histopathological examination: 5-gene classifier may aid in molecular discrimination between FTC and FTA in FFPE material.

Indexed as

FormaldehydeGene Expression ProfilingParaffin EmbeddingTissue FixationAdenocarcinoma, FollicularAgedDiagnosis, DifferentialHumansMiddle AgedMolecular Diagnostic TechniquesOligonucleotide Array Sequence AnalysisPostoperative PeriodThyroid NeoplasmsFormaldehyde

Identifiers

PMID24099521
PMCPMC3852913
OpenAlexW2034002680

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.