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Record W2089708703 · doi:10.1159/000102913

DNA Variation in MSR1, RNASEL and E-Cadherin Genes and Prostate Cancer in Poland

2007· article· en· W2089708703 on OpenAlex
Cezary Cybulski, Dominika Wokołorczyk, Anna Jakubowska, Bartłomiej Gliniewicz, Andrzej Sikorski, Tomasz Huzarski, Tadeusz Dębniak, Steven A. Narod, Jan Lubiński

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

VenueUrologia Internationalis · 2007
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsCoalition for Research in Women's Health
Fundersnot available
KeywordsMedicineProstate cancerGeneProstatePathologyCancerInternal medicineGeneticsBiology

Abstract

fetched live from OpenAlex

INTRODUCTION: We investigated whether or not inherited variation in MSR1, RNASEL and E-cadherin contribute to prostate cancer risk in Poland. MATERIAL AND METHODS: We sequenced the coding region of these three genes in individuals from Poland and identified five common DNA variants (R462Q and D541E in RNASEL, R293X and P275A in MSR1, and 2076C>T (A692A) in E-cadherin). These five variants and the -160C>A promoter change in E-cadherin were genotyped in 737 prostate cancer cases and 511 controls. RESULTS: The frequencies of genotyped variants in MSR1, RNASEL and E-cadherin genes in cases and controls were similar. We did not see any association for the studied variants when cases were stratified by age of diagnosis, by family history, by prostate-specific antigen level at the time of diagnosis, by Gleason sore or by tumor stage. CONCLUSIONS: Inherited variation in RNASEL, MSR1 and E-cadherin genes do not seem to contribute to prostate cancer development in Poland.

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 score0.014
Threshold uncertainty score0.320

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 head0.290
Teacher spread0.276 · 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