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Record W4367148657 · doi:10.1097/mpa.0000000000002189

A Subset of Pancreatoblastomas May Arise From an Adenomatous Precursor

2022· article· en· W4367148657 on OpenAlexaff
Jonathan C. Slack, Marie‐Anne Bründler, Adrian Box, Konstantin Koro

Bibliographic record

VenuePancreas · 2022
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineInternal medicineComputational biologyBiology

Abstract

fetched live from OpenAlex

ABSTRACT: Pancreatoblastomas are rare pediatric tumors. In adults, they are exceedingly rare and seem to have a worse prognosis. Most are sporadic, though rare, cases occur in patients with familial adenomatous polyposis. Unlike pancreatic ductal adenocarcinomas, pancreatoblastomas are not believed to arise from dysplastic precursor lesions. Clinical history, along with endoscopic, pathological, and molecular findings, was reviewed for a 57-year-old male patient with an ampullary mass who presented with obstructive jaundice. Microscopic examination showed a pancreatoblastoma subjacent to an adenomatous polyp with intestinal differentiation and low-grade dysplasia. Both tumors had abnormal p53 (complete loss) and nuclear β-catenin immunostaining. Mutational panel analysis showed an identical CTNNB1 (p.S45P) mutation in both. This case adds to our understanding of the pathogenesis of these rare tumors and suggests that a subset may arise from an adenomatous precursor. In addition, this case is just the second pancreatoblastoma to originate in the duodenal ampulla, and the preceding case suggests that an ampullary location leads to earlier diagnosis. Moreover, this case highlights the difficulty in diagnosing pancreatoblastoma on limited tissue specimens and illustrates the need to include pancreatoblastoma in the differential diagnosis in all tumors in and around the pancreas, including those in adult patients.

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)0.000
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 score0.026
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.333
Teacher spread0.304 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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