Evidence map›Paper›PMID 26818556›Full record

ArticleBMC bioinformatics2016

The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes.

Moraima Pagan, Richard T Kloos, Chu-Fang Lin, Kevin J Travers, Hajime Matsuzaki, Ed Y Tom, Su Yeon Kim, Mei G Wong, Andrew C Stewart, Jing Huang and 3 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Molecular Variants and Their Risks for Malignancy in Cytologically Indeterminate Thyroid Nodules.Thyroid : official journal of the American Thyroid Association · 2019
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  9. Identification of a Recurrent LMO7-BRAF Fusion in Papillary Thyroid Carcinoma.Thyroid : official journal of the American Thyroid Association · 2018
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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

13 authors at 1 institution in 1 country.

Moraima PaganVeracyte, Inc., South San Francisco, CA, USA.
Richard T KloosVeracyte, Inc., South San Francisco, CA, USA.
Chu-Fang LinVeracyte, Inc., South San Francisco, CA, USA.
Kevin J TraversVeracyte, Inc., South San Francisco, CA, USA.
Hajime MatsuzakiVeracyte, Inc., South San Francisco, CA, USA.
Ed Y TomVeracyte, Inc., South San Francisco, CA, USA.
Su Yeon KimVeracyte, Inc., South San Francisco, CA, USA.
Mei G WongVeracyte, Inc., South San Francisco, CA, USA.
Andrew C StewartVeracyte, Inc., South San Francisco, CA, USA.
Jing HuangVeracyte, Inc., South San Francisco, CA, USA.
P Sean WalshVeracyte, Inc., South San Francisco, CA, USA.
Robert J MonroeVeracyte, Inc., South San Francisco, CA, USA.
Giulia C KennedyVeracyte, Inc., South San Francisco, CA, USA. giulia@veracyte.com.
Veracyte (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid carcinomas are known to harbor oncogenic driver mutations and advances in sequencing technology now allow the detection of these in fine needle aspiration biopsies (FNA). Recent work by The Cancer Genome Atlas (TCGA) Research Network has expanded the number of genetic alterations detected in papillary thyroid carcinomas (PTC). We sought to investigate the prevalence of these and other genetic alterations in diverse subtypes of thyroid nodules beyond PTC, including a variety of samples with benign histopathology. This is the first clinical evaluation of a large panel of TCGA-reported genomic alterations in thyroid FNAs.

resultsIn FNAs, genetic alterations were detected in 19/44 malignant samples (43% sensitivity) and in 7/44 histopathology benign samples (84% specificity). Overall, after adding a cohort of tissue samples, 38/76 (50%) of histopathology malignant samples were found to harbor a genetic alteration, while 15/75 (20%) of benign samples were also mutated. The most frequently mutated malignant subtypes were medullary thyroid carcinoma (9/12, 75%) and PTC (14/30, 47%). Additionally, follicular adenoma, a benign subtype of thyroid neoplasm, was also found to harbor mutations (12/29, 41%). Frequently mutated genes in malignant samples included BRAF (20/76, 26%) and RAS (9/76, 12%). Of the TSHR variants detected, (6/7, 86%) were in benign nodules. In a direct comparison of the same FNA also tested by an RNA-based gene expression classifier (GEC), the sensitivity of genetic alterations alone was 42%, compared to the 91% sensitivity achieved by the GEC. The specificity based only on genetic alterations was 84%, compared to 77% specificity with the GEC.

conclusionsWhile the genomic landscape of all thyroid neoplasm subtypes will inevitably be elucidated, caution should be used in the early adoption of published mutations as the sole predictor of malignancy in thyroid. The largest set of such mutations known to date detects only a portion of thyroid carcinomas in preoperative FNAs in our cohort and thus is not sufficient to rule out cancer. Due to the finding that variants are also found in benign nodules, testing only GEC suspicious nodules may be helpful in avoiding false positives and altering the extent of treatment when selected mutations are found.

Indexed as

Adenocarcinoma, FollicularBiomarkers, TumorBiopsy, Fine-NeedleCarcinomaCarcinoma, NeuroendocrineCarcinoma, PapillaryGene FusionGenetic VariationHigh-Throughput Nucleotide SequencingHumansProspective StudiesROC CurveSequence Analysis, RNAThyroid Cancer, PapillaryThyroid NeoplasmsThyroid NoduleBiomarkers, Tumor

Identifiers

PMID26818556
PMCPMC4895782
OpenAlexW2223462212

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.