2020
DOI: 10.1002/dc.24564
|View full text |Cite
|
Sign up to set email alerts
|

Multiplatform molecular test performance in indeterminate thyroid nodules

Abstract: Background: Approximately 25% of thyroid nodule fine-needle aspirates (FNAs) have cytology that is indeterminate for malignant disease. Accurate risk stratification of these FNAs with ancillary testing would reduce unnecessary thyroid surgery. Methods: We evaluated the performance of an ancillary multiplatform test (MPTX) that has three diagnostic categories (negative, moderate, and positive). MPTX includes the combination of a mutation panel (ThyGeNEXT ®) and a microRNA risk classifier (ThyraMIR ®). A blinded… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
68
0
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 81 publications
(72 citation statements)
references
References 45 publications
(138 reference statements)
0
68
0
2
Order By: Relevance
“…In the current MPT, designated MPTX, an analytically validated expanded NGS test (ThyGeNEXT), is combined with ThyraMIR. This multiplatform test demonstrated a high PPV of 75% and NPV of 97%, comparable with other marketed tests (14,16,23). RosettaGX Reveal (Rosetta Genomics) is a thyroid miRNAs classifier for the stratification of ITNs by evaluating the expression of 24 up and down-regulated miRNAs species, using the routinely stained cytology smears as testing substrate (24).…”
Section: Introductionmentioning
confidence: 68%
See 2 more Smart Citations
“…In the current MPT, designated MPTX, an analytically validated expanded NGS test (ThyGeNEXT), is combined with ThyraMIR. This multiplatform test demonstrated a high PPV of 75% and NPV of 97%, comparable with other marketed tests (14,16,23). RosettaGX Reveal (Rosetta Genomics) is a thyroid miRNAs classifier for the stratification of ITNs by evaluating the expression of 24 up and down-regulated miRNAs species, using the routinely stained cytology smears as testing substrate (24).…”
Section: Introductionmentioning
confidence: 68%
“…However, this relative superiority is countered by the limited number of studies for these assays. Also, miRNA-based panel Interpace has shown the lowest risk of bias concerning index test, as in two of three studies the molecular testing was performed blind to histological diagnosis (23,67). For other criteria, the quality concerns were similarly high for all tests.…”
Section: Quality Assessmentmentioning
confidence: 96%
See 1 more Smart Citation
“…[8][9][10] As described in the Methods of our manuscript, MPTX is resulted as negative when no mutations are detected and the microRNA test is negative; as positive when a strong driver mutation is detected or when the microRNA test is positive; and as moderate for the remaining molecular scenarios. 3 We disagree with Gooding and Chiosea's view that only one diagnostic threshold should be used in data analysis of…”
mentioning
confidence: 86%
“… 47 Molecular profiling is commonly performed using commercially available testing services such as the ThyroSeq v3 Genomic Classifier, a DNA/RNA next generation sequencing assay evaluating 112 candidate genes providing information on >12,000 mutation hotspots and >150 gene fusion types (CBLPath, Inc., Rye Brook, NY, USA), Afirma Genomic Sequencing Classifier (GSC), designed based on the RNA expression profiles of 1115 core genes, with the Xpression Atlas extension measuring variants and fusions in 593 genes (Veracyte, Inc., South San Francisco, CA, USA), and ThyGeNEXT ® + ThyraMIR ® , a multiplatform test comprised of the ThyGeNEXT ® mutation panel and ThyraMIR ® microRNA risk classifier (Interpace Biosciences, Inc., Parsippany-Troy Hills, NJ, USA). 48 52 The MAPK and PI3K-AKT molecular pathways have been implicated in the pathogenesis of DTC, and may provide useful information for risk stratification in DTC. 25 In 2014, The Cancer Genome Atlas (TCGA) project recognized BRAF V600E -like PTCs (BVL-PTCs) and RAS -like PTCs (RL-PTCs) as distinct entities based on their genetic, epigenetic, and protein expression profiles.…”
Section: Molecular Classificationmentioning
confidence: 99%