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Record W2043379865 · doi:10.1159/000112825

Testicular Mixed Germ Cell Tumor in an Adolescent with Cowden Disease

2007· article· en· W2043379865 on OpenAlexaff
M. Anjani Devi, Norma Leonard, Svetlana Silverman, Mohamed Al-Qahtani, Rose Girgis

Bibliographic record

VenueOncology · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCowden syndromePTENMedicineMalignancyPathologyThyroidBreast cancerGynecomastiaDiseaseCancerOncologyCancer researchInternal medicineBiologyPI3K/AKT/mTOR pathway

Abstract

fetched live from OpenAlex

Cowden disease (also known as Cowden syndrome) is characterized by multiple organ hamartomatous tumors and an increased risk of malignancy, in particular of the breast, thyroid and endometrium. Testicular tumors including seminoma have previously been reported in adult patients. We are reporting, for the first time, a case of testicular mixed germ cell tumor in an adolescent with Cowden disease. An association of testicular malignancy in Cowden disease could be explained by the previous observation of strong PTEN gene expression in the basal cell layer around seminiferous tubules and increased frequency of PTEN mutations in cultured testicular cancer cell lines. Surveillance for breast, thyroid, endometrial and renal cancer has been recommended for individuals with Cowden disease. The association of Cowden disease and testicular malignancy in our case suggests the need for additional screening of testes.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.286
Teacher spread0.275 · 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 designCase report
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

Citations15
Published2007
Admission routes1
Has abstractyes

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