Evidence map›Paper›PMID 27223344›Full record

ArticleCancer cytopathology2016

Analytical validity of a microRNA-based assay for diagnosing indeterminate thyroid FNA smears from routinely prepared cytology slides.

Hila Benjamin, Temima Schnitzer-Perlman, Alexander Shtabsky, Christopher J VandenBussche, Syed Z Ali, Zdenek Kolar, Fabio Pagni, Rosetta Genomics Group, Dganit Bar, Eti Meiri

Open access · hybridAbstract read
In one paragraph

Article in Cancer cytopathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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  12. Indeterminate thyroid nodules in the era of molecular genomics.Molecular genetics & genomic medicine · 2020
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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

10 authors at 6 institutions in 4 countries.

Hila BenjaminRosetta Genomics, Inc, Philadelphia, Pennsylvania.
Temima Schnitzer-PerlmanRosetta Genomics Ltd, Rehovot, Israel.
Alexander ShtabskyPathology Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Christopher J VandenBusscheThe Johns Hopkins University School of Medicine, Baltimore, Maryland.
Syed Z AliThe Johns Hopkins University School of Medicine, Baltimore, Maryland.
Zdenek KolarInstitute of Clinical and Molecular Pathology and Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital of Olomouc, Olomouc, Czech Republic.
Fabio PagniDepartment of Surgery and Translational Medicine, Pathology, University of Milano-Bicocca, Monza, Italy.
Rosetta Genomics GroupRosetta Genomics, Inc, Philadelphia, Pennsylvania.
Dganit BarRosetta Genomics Ltd, Rehovot, Israel.
Eti MeiriRosetta Genomics Ltd, Rehovot, Israel. meirie@rosettagx.com.
Rosetta Genomics (Israel) · ILJohns Hopkins University · USZero to Three · USInstitute of Molecular and Translational Medicine · CZTel Aviv University · ILUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of thyroid nodules are diagnosed using fine-needle aspiration (FNA) biopsies. The authors recently described the clinical validation of a molecular microRNA-based assay, RosettaGX Reveal, which can diagnose thyroid nodules as benign or suspicious using a single stained FNA smear. This paper describes the analytical validation of the assay.

methodsMore than 800 FNA slides were tested, including slides stained with Romanowsky-type and Papanicolaou stains. The assay was examined for the following features: intranodule concordance, effect of stain type, minimal acceptable RNA amounts, performance on low numbers of thyroid cells, effect of time since sampling, and analytical sensitivity, specificity, and reproducibility.

resultsThe assay can be run on FNA slides for which as little as 1% of the cells are thyroid epithelial cells or from which only 5 ng of RNA have been extracted. Samples composed entirely of blood failed quality control and were not classified. Stain type did not affect performance. All slides were stored at room temperature. However, the length of time between FNA sampling and processing did not affect assay performance. There was a high level of concordance between laboratories (96%), and the concordance for slides created from the same FNA pass was 93%.

conclusionsThe microRNA-based assay was robust to various physical processing conditions and to differing sample characteristics. Given the assay's performance, robustness, and use of routinely prepared FNA slides, it has the potential to provide valuable aid for physicians in the diagnosis of thyroid nodules. Cancer Cytopathol 2016;124:711-21. © 2016 Rosetta Genomics. Cancer Cytopathology published by Wiley Periodicals, Inc. on behalf of American Cancer Society.

Indexed as

Biomarkers, TumorBiopsy, Fine-NeedleCarcinoma, Papillary, FollicularCytodiagnosisHumansMicroRNAsMolecular Diagnostic TechniquesPrognosisReproducibility of ResultsSpecimen HandlingThyroid NeoplasmsThyroid NoduleValidation Studies as TopicBiomarkers, TumorMicroRNAsfine-needle aspiration (FNA)indeterminatemicroRNAmolecular testnodulessmearsthyroid

Identifiers

PMID27223344
PMCPMC5096036
OpenAlexW2400503976

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.