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Record W4220711770 · doi:10.1089/thy.2021.0542

Clinical Application of Next-Generation Sequencing in Advanced Thyroid Cancers

2022· article· en· W4220711770 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThyroid · 2022
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsUniversity of TorontoPublic Health OntarioPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineMedullary thyroid cancerThyroid cancerAnaplastic thyroid cancerNeuroblastoma RAS viral oncogene homologPapillary thyroid cancerOncologyInternal medicineCancerThyroidClinical trialBioinformaticsBiology

Abstract

fetched live from OpenAlex

Background: With the emergence of mutation-based systemic therapies for patients with advanced thyroid cancer, molecular profiling has become an important component of care. Although next-generation sequencing (NGS) gene panels are accessible to clinicians, there is no consensus on the optimal approach to testing. This study investigates the clinical application of NGS results in the management of advanced thyroid cancer. Methods: Patients with advanced thyroid cancer with NGS completed as part of the Integrated Molecular Profiling in Advanced Cancers Trial (IMPACT; NCT01505400) or Ontario-wide Cancer TArgeted Nucleic Acid Evaluation (OCTANE; NCT02906943) clinical trials at the Princess Margaret Cancer Centre were included. Electronic medical records were reviewed to collect clinicopathologic and treatment data. The OncoKB framework was used to categorize molecular alterations based on levels of actionability. Patients with an actionable alteration by OncoKB framework who had treatment with a drug targeting the alteration were categorized as receiving “matched” therapy. Time-to-event data were analyzed using the Kaplan–Meier method. This study was approved by the University Health Network Research Ethics Board (ID# 19-5888). Results: NGS was performed on 118 patients with advanced thyroid cancer between 2013 and 2020. The most common molecular alterations included BRAF V600E (62%) and NRAS (15%) mutations in papillary thyroid cancer, RET alterations (78%) in medullary thyroid cancer, and BRAF V600E (38%) and TP53 (62%) mutations in anaplastic thyroid cancer. Actionable alterations were found in 87% of patients, and 57% of patients had at least one Level 1 or 2 alteration for which Food and Drug Administration (FDA)-approved drug is available. BRAF and RET alterations made up 86% of Level 1 and 2 alterations. A matched therapeutic approach was undertaken in 13% of patients. Conclusion: This study uses a structured framework to analyze the actionability and clinical use of NGS results in advanced thyroid cancer. Most patients had at least one potentially actionable mutation and 57% of patients had at least one Level 1 or 2 alteration, predominantly driven by BRAF V600E and RET alterations. This study rationalizes the need for routine multigene NGS testing or reflex BRAF and RET testing in the management of patients with advanced thyroid cancer.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.408
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.338
Teacher spread0.272 · 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