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Record W2302615058

Significant association of caveolin-1 (CAV1) genotypes with prostate cancer susceptibility in Taiwan.

2011· article· en· W2302615058 on OpenAlex
Hsi Chin Wu, Chao Hsiang Chang, Yung An Tsou, Chia Wen Tsai, Cheng‐Chieh Lin, Da Tian Bau

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

VenuePubMed · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsTerry Fox Research Institute
Fundersnot available
KeywordsProstate cancerGenotypeProstateOncologyAlleleCaveolin 1CancerInternal medicineMedicineCase-control studyBiologyGeneGenetics
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Multiple lines of evidence have implicated the Caveolin-1 (CAV1) gene in prostate cancer progression. CAV1 is located within the locus at 7q31-33 associated with prostate cancer aggressiveness, and was identified as being overexpressed in prostate tumors. Therefore, this study evaluated the relationship between the polymorphism of CAV1 and the risk of prostate cancer in Taiwan. PATIENTS AND METHODS: Two hundred and fifty patients with prostate cancer and five hundred age-matched healthy controls recruited were genotyped. RESULTS: There were significant differences between prostate cancer and control groups in the distributions of their genotypes (p = 0.0004) and allelic frequencies (p = 4.9 × 10(-5)) in the CAV1 T29107A (rs7804372) polymorphisms. CONCLUSION: This study provides evidence for the relationship of this variant of CAV1 and risk of prostate cancer which might merit further study as a genomic marker for early detection of prostate cancer.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.368

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 head0.013
GPT teacher head0.198
Teacher spread0.186 · 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