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Record W4415429036 · doi:10.1002/path.6493

Metamorphoses in pancreatic cancer precursors: the role of simple mucinous cysts <sup>†</sup>

2025· article· en· W4415429036 on OpenAlexaff
Paolo Riccardo Camisa, Daniele Campa, Iréne Esposito, Stefano Crippa

Bibliographic record

VenueThe Journal of Pathology · 2025
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
FundersNiilo Helanderin SäätiöFondazione Nadia ValsecchiEuropean Commission
KeywordsPathologicalPancreatic ductal adenocarcinomaPancreatic cancerPancreasCystAdenocarcinomaIntraductal papillary mucinous neoplasmPancreatic cyst

Abstract

fetched live from OpenAlex

Pancreatic cystic lesions present a unique opportunity to identify and potentially prevent pancreatic ductal adenocarcinoma (PDAC), one of the deadliest solid tumors. Until now, research has primarily focused on intraductal papillary mucinous neoplasms (IPMNs) and mucinous cystic neoplasms (MCNs), whose potential for malignant transformation is well established. In recent years, however, a new pathological entity has emerged: the simple mucinous cyst (SMC). SMCs are distinct from other cystic lesions, as they lack both communication with the pancreatic ductal system (a hallmark of IPMNs), and the ovarian-like stroma, characteristic of MCNs. The recent work by Pea et al, published in The Journal of Pathology, suggests that these lesions can progress to PDAC, underscoring the need for further characterization. In this commentary, we review the key findings of this study and discuss the potential next steps required to translate these discoveries into actionable clinical practice. © 2025 The Pathological Society of Great Britain and Ireland.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.241

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.021
GPT teacher head0.347
Teacher spread0.326 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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