MétaCan
Menu
Back to cohort
Record W2482895554 · doi:10.1158/1538-7445.am2016-2390

Abstract 2390: The polyclonal nature of multinodular goitre revealed by DICER1 sequencing

2016· article· en· W2482895554 on OpenAlexaff
Leanne de Kock, Ismaël Bah, Mona K. Wu, John R. Priest, Jiannis Ragoussis, William D. Foulkes

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsMcGill University Health CentreMcGill UniversityMcGill University and Génome Québec Innovation CentreJewish General Hospital
Fundersnot available
KeywordsRNase PSanger sequencingPopulationBiologyMutationMolecular biologyGeneticsGeneMedicineRNA

Abstract

fetched live from OpenAlex

Abstract Nontoxic multinodular goitre (MNG) occurs frequently in the general population and is characterised by nodular enlargement of the thyroid gland. In 2011, Rio Frio et al discovered that familial MNG and MNG occurring with Sertoli-Leydig cell tumours were associated with germ-line mutations in the microRNA-processing gene, DICER1. We recently reported the first instance of biallelic DICER1 mutations in an MNG. This prompted us to further investigate the role of DICER1 mutations in MNG pathogenesis. Given that MNG may either be a monoclonal or polyclonal disease, we set out to investigate whether the molecular landscape was correspondingly heterogeneous. We obtained core biopsies (n = 27) from 9 MNGs. 1mm cores were excised from morphologically distinct regions, including from areas of follicular hyperplasia (FH), hyperplasia within colloid pools (HC) and/or otherwise unremarkable areas. DNA extracted from each core was processed using a custom Fluidigm Access Array followed by deep sequencing. We focused our investigation on the RNase IIIb domain of DICER1 to identify known hotspot mutations. All mutations were validated by Sanger sequencing. We identified 6 individually distinct DICER1 RNase IIIb hotspot mutations in 14 (of 27) cores consisting of FH or HC (Table 1). These mutations affected the metal-ion binding residues at positions 1705, 1709, 1810 & 1813. Two MNGs that arose in individuals without germ-line DICER1 mutations did not carry any RNase IIIb hits. Of the remaining 7 germ-line DICER1-mutated cases, 2 carried 1 RNase IIIb mutation; 4 carried 2 different RNase IIIb mutations and one case did not carry any successfully-validated RNase IIIb mutations. We demonstrate that spatial heterogeneity of RNase IIIb DICER1 mutations exists in MNG. We postulate that cyclic hyperplasia followed by regression over time in response to external stimuli, particularly in germ-line DICER1 mutation carriers, contributes to the polyclonal accumulation of RNase IIIb mutations in MNG. Table 1:DICER1 RNase IIIb Mutation FrequenciesCaseGerm-line DICER1 StatusMorphologyc.5113G>A p.E1705Kc.5125G>A p.D1709Nc.5126A>G p.D1709Gc.5428G>T p.D1810Yc.5429A>T p.D1810Vc.5437G>C p.E1813Q1PositiveHC41.7–––––FH–––––22.12PositiveFH––––––UR––––––HC––––––UR––––––HC––Sanger–––HC––Sanger–––3PositiveHC––––29.2–FH–43.7––––FH–28.8––––4PositiveHC––30.6–––UR––––––HC––33.1–––FH–––52.3––5PositiveHC––––––HC with FH––––––6PositiveFH–––––39.3FH–––––13.1FH––––––7PositiveFH–––41.8––FH28.0–––––8NegativeFH––––––HC––––––9NegativeFH––––––PTC––––––FH––––––Abbreviations: FH, follicular hyperplasia; HC, hyperplasia within colloid pools; UR, unremarkable; PTC, papillary thyroid ca. Notes: Each row corresponds to a separate core. Mutant allele frequencies are indicated in each cell (all >10%); ‘‘–’’ indicates mutation not observed in core DNA; Sanger, indicates mutations previously identified in an independent PCR from bulk MNG DNA, tested by Sanger sequencing. All Fluidigm positives were confirmed by Sanger sequencing from the same DNA that was used to do the Fluidigm analysis. Citation Format: Leanne de Kock, Ismaël Bah, Mona Wu, John R. Priest, Jiannis Ragoussis, William D. Foulkes. The polyclonal nature of multinodular goitre revealed by DICER1 sequencing. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2390.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.444
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicMedical Imaging and Pathology StudiesFrench-language works237,207