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Record W1749151982 · doi:10.25011/cim.v32i6.10661

DD3PCA3 gene expression in cancer and prostatic hyperplasia

2009· article· en· W1749151982 on OpenAlexvenueno aff
Esaú Floriano-Sánchez, Noemí Cárdenas‐Rodríguez, M Castro-Marín, Pindaro Alvarez Grave, Eleazar Lara‐Padilla

Bibliographic record

VenueClinical and investigative medicine · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsnot available
FundersTechnische Universität München
KeywordsHyperplasiaProstate cancerGeneCancer researchMedicineCancerGene expressionInternal medicineOncologyBiologyGenetics

Abstract

fetched live from OpenAlex

PURPOSE: DD3(PCA3) is a novel gene with characteristics that indicate its potentially valuable role in early identification and diagnosis of malignancy and highly upregulated in transformed cells in PCa. The aim of this work was to validate and analyze, by real-time Reverse Transcription-Polymerase Chain Reaction (RT-PCR), the expression of the DD3(PCA3)gene in a Mexican population, both in intratumoral tissue with PCa and benign prostatic hyperplasia (BPH). METHODS: Human samples from patients with PCa (40 cases) and benign prostatic hyperplasia (40 cases) were analyzed for the mRNA expression of DD3(PCA3)by RT-PCR RESULTS: The GAPDH gene showed better stability with a Pearson correlation of 0.953 (P < 0.007) for the determination of housekeeping gene. DD3(PCA3)gene expression was 29.74 times higher in PCa tissue (P < 0.0001) than in BPH. The gene expression for the PCa and BPH was 1731+/-280 and 58.23+/-9.9 fold, respectively. CONCLUSIONS: Determination of DD3(PCA3)gene expression by RT-PCR could be a potentially tool for the early detection of PCa in clinical specimens.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.690

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 studies0.0000.002
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 head0.078
GPT teacher head0.380
Teacher spread0.302 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations18
Published2009
Admission routes1
Has abstractyes

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