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Record W4405987255 · doi:10.1093/noajnl/vdae145

Clinical integration and application of the 2022 WHO pituitary tumor classification

2025· article· en· W4405987255 on OpenAlex
L. Sylvia, Shereen Ezzat, Özgür Mete

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.

Bibliographic record

VenueNeuro-Oncology Advances · 2025
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsPituitary tumorsCraniopharyngiomaBiologyMEN1Endocrine systemEpigeneticsCell typePituitary glandPituitary neoplasmNeuroendocrine differentiationPathologyHormoneCancer researchCellMedicineEndocrinologyGeneCancerGenetics

Abstract

fetched live from OpenAlex

The pituitary is a complex endocrine organ that gives rise to adenohypophysial epithelial neuroendocrine tumors, to hypothalamic neuroendocrine neuronal neoplasms, to nonendocrine glial-related pituicytomas, and to Rathke's pouch-derived craniopharyngiomas and pituitary blastomas. The past 30 years have seen significant advances in the classification of these tumors based on cell lineages, molecular alterations, and biomarker features that distinguish tumor types and their subtypes. Adenohypophysial cells give rise to pituitary neuroendocrine tumors (PitNETs) that usually follow 1 of 3 cell differentiation pathways. Pituicytomas have multiple morphologic variants and hypothalamic neuronal tumors can be gangliocytomas composed of magnocellular neurons or neurocytomas composed of small neurocytes. Craniopharyngiomas have 2 distinct families, papillary and adamantinomatous, with different alterations in signaling pathways. Pituitary blastomas are primitive tumors composed of an admixture of immature elements of Rathke's pouch with immature but differentiated hormone-secreting adenohypophysial cells. These various tumors are associated with specific clinical manifestations, creating a complex clinico-radiologic-pathologic classification that has both important clinical distinctions but also predictive therapeutic value. The syndromic disease has allowed the identification of genes that may be implicated in the development of these tumors, but the majority are sporadic tumors that, with a few exceptions, have no recurrent genetic alterations. The structure-function correlations that have been elucidated are critical to allow subclassification of clinical disorders that will pave the way for further advances in understanding genetic predisposition and environmental factors that alter epigenetic profiles of pituitary cells.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.198

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 head0.016
GPT teacher head0.352
Teacher spread0.335 · 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