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Record W2752695885 · doi:10.1097/pgp.0000000000000451

YWHAE Rearrangement in a Purely Conventional Low-grade Endometrial Stromal Sarcoma that Transformed Over Time to High-grade Sarcoma: Importance of Molecular Testing

2017· article· en· W2752695885 on OpenAlexaff
Omonigho Aisagbonhi, Beth Harrison, Liena Zhao, Rebecca Osgood, Ivan Chebib, Esther Oliva

Bibliographic record

VenueInternational Journal of Gynecological Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsAlberta Hospital EdmontonAlberta Health Services
Fundersnot available
KeywordsEndometrial stromal sarcomaSarcomaStromal cellPathologyMedicineBiologyCancer research

Abstract

fetched live from OpenAlex

Low and high-grade endometrial stromal sarcomas (ESS) can be distinguished on a morphologic basis. Low-grade ESS is composed of oval cells that resemble normal proliferative-phase endometrial stroma, while the well-known high-grade ESS is composed of round cells growing in nests separated by delicate sinusoidal vasculature. Recurrent JAZF1 rearrangements have been reported to be most frequent in low-grade stromal sarcomas (up to 60%), while YWHAE rearrangements are characteristic of high-grade ESS. Herein, we report a case of a 45-yr-old woman with stage IA typical low-grade ESS who developed multiple abdominopelvic recurrences and lung metastases 15 mo after her primary tumor was resected. The unusual morphology (without high-grade areas) as well as the aggressive behavior of the tumor prompted molecular testing which showed YWHAE rearrangement in her abdominopelvic recurrence and her primary tumor. Five years after her primary tumor was resected, she developed scalp metastases with a typical morphology of a high-grade ESS associated with t(10;17) and died of her disease. Our case highlights the potential value of molecular testing in all low-grade ESS at time of initial diagnosis to stratify patients at higher risk for developing high-grade ESS with the goal of offering closer follow-up for early detection and treatment if transformation occurs.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.324
Teacher spread0.281 · 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.

Study designObservational
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

Citations32
Published2017
Admission routes1
Has abstractyes

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