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Pathobiology of Pituitary Adenomas and Carcinomas

2006· article· en· W2005236094 on OpenAlexaff
Bernd W. Scheithauer, Thomas A. Gaffey, Ricardo V. Lloyd, Thomas J. Sebo, Kálmán Kovács, Éva Horváth, Özlem Yapcer, William F. Young, Fredric B. Meyer, Tamatsu Kuroki, Darren Riehle, Edward R. Laws

Bibliographic record

VenueNeurosurgery · 2006
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsAdenomaProlactinMedicinePituitary adenomaPathologyProliferating cell nuclear antigenLesionHormoneInternal medicineImmunohistochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine relationships between pituitary tumors and lesion size, invasiveness, resectability, deoxyribonucleic acid ploidy, cell cycle profile, mitotic activity, and immunoreactivity for MIB-1, proliferating cell nuclear antigen (PCNA), p27Kip1, and p53. PATIENTS AND METHODS: One hundred fifty-three adenomas of most pathological subtypes, including 20 medically treated and prolactin and growth hormone-containing tumors, as well as 10 premetastatic tumors and 13 pituitary carcinomas, were studied. RESULTS: Significant (P < 0.05) differences were noted between functional versus nonfunctional adenomas (percent aneuploidy, percent S phase, p27Kip1 labeling indices [LI], male sex, tumor size, and frequency of visual disturbance); Cushing's versus silent adrenocorticotropin adenomas (percent hypertetraploidy, p53 LI, tumor size, visual disturbance, and resectability); untreated versus medically treated prolactin cell adenomas (MIB-1 LI, p53 LI, and resectability); untreated versus medically treated growth hormone-containing adenomas (percent diploidy, percent S phase, MIB-1 LI, p53 LI, and p27 LI); untreated prolactin cell adenomas versus premetastatic tumors (percent hypertetraploidy, PCNA LI, p53 LI, invasiveness, and resectability); untreated growth hormone-containing adenomas versus premetastatic tumors (percent diploidy, percent S phase, PCNA LI, p53 LI, invasiveness, and resectability); Cushing's adenomas versus premetastatic tumors (percent diploidy, percent hypertetraploidy, percent S phase, MIB-1 LI, p53 LI, tumor size, invasiveness, visual disturbance, and resectability); Nelson's adenomas versus premetastatic tumors (p53 LI, tumor size, invasiveness, and resectability); silent adenomas as a whole versus nonfunctional adenomas (percent nondiploid, percent S phase, invasiveness, and respectability); silent adrenocorticotropin adenomas I and II versus silent adenoma Subtype III (invasiveness); silent adrenocorticotropin adenoma Subtypes I and II versus premetastatic tumors (MIB-1 LI and invasiveness); silent adenoma Subtype III versus premetastatic tumors (PCNA and p53 LI); and premetastatic tumors versus metastatic pituitary carcinomas (MIB-1 LI). CONCLUSION: Only trends toward differences were noted between Cushing's versus Nelson's adenomas and between prolactinomas of reproductive female patients versus those of menopausal female patients and male patients. Too few "atypical adenomas" were encountered to permit their comparison with premetastatic tumors, but our results suggest that most pituitary carcinomas arise by malignant transformation from adenomas.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations256
Published2006
Admission routes1
Has abstractyes

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