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Record W2404404700

Gene expression changes in oral tissues following black raspberry exposure: Interim Affymetrix array analysis of a Phase 1 clinical trial.

2007· article· en· W2404404700 on OpenAlexaff
Thomas J. Knobloch, Mei-Ling Lee, George A. Whitmore, Amit Agrawal, David Schuller, Enver Özer, Christine Sardo, Gary D. Stoner, Bruce C. Casto, Dennis K. Pearl, Blake M. Warner, Christopher M. Weghorst

Bibliographic record

VenueCancer Epidemiology and Prevention Biomarkers · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGene expression and cancer classification
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineCancerMicroarrayBiopsyCarcinogenesisHepatocellular carcinomaPathologyOncologyInternal medicineGene expressionGeneBiologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

A129 INTRODUCTION: Chemoprevention is prevention, inhibition, or reversal of carcinogenesis by administration of one or more chemical entities, either as individual drugs or as naturally occurring constituents of the diet. (GD Stoner, MA Morse, GJ Kelloff. EHP 105 Suppl 4:945,1997). The aim of this Phase 1 Clinical Trial was to evaluate molecular changes in oral cavity tissues after oral exposure to lyophilized black raspberries (LBR). Biopsy-confirmed oral squamous cell carcinoma (OSCC) patients were administered three LBR troches four times each day (4.3g cumulative dose) between pre-surgical enrollment and their normally scheduled surgery. Tissue biopsies were obtained from tumor (T1) and distant normal tissues (N1) at enrollment and during surgical resection (T2,N2), an exposure range of 7-34 days. An interim cohort of 10 patients was characterized by Affymetrix HG-U133 Plus 2.0 Arrays (Affymetrix Arrays;1,300,000 unique oligonucleotide features, >47,000 transcripts, ~39,000 genes). METHODS: Four Affymetrix Arrays (N1,T1,N2,T2) were analyzed for each patient. Baseline pre-surgical tumor (T1) and distant normal (N1) tissues were collected at enrollment. After LBR troche administration, post-surgical tumor (T2) and distant normal (N2) tissues were obtained. Affymetrix Arrays were processed by The Ohio State University Comprehensive Cancer Center Microarray Shared Resource (OSUCCC MASR). Affymetrix CEL files were processed by DNA-Chip Analyzer (dChip) Software and analyses performed using custom statistical routines. Patient covariates included treatment duration, lesion site, tumor staging, and age. RESULTS: As expected, significant differences were readily detected between normal and tumor tissues, both before (T1/N1) and after (T2/N2) LBR exposure. Significant differences were also detected between normal tissues (N2/N1) and tumors (T2/T1) before and after LBR exposure. Importantly, significant differences were revealed when duration of LBR exposure was examined as a covariate among the 10 patient cohort. The data from this interim Phase 1 analysis provide substantial insight into possible biomarkers of oral cancer, and specifically of LBR-responsive genes in the normal and tumor tissues of OSCC patients. Furthermore, additional validation of these possible biomarkers may reveal detailed mechanistic, functional, prognostic, or diagnostic roles for these statistically significant modulated transcripts. SUPPORT: NIH/NCI R21DE016361, ACS RSGT-06-126-01-CNE

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.125
GPT teacher head0.472
Teacher spread0.347 · 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 designRandomized trial
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

Citations0
Published2007
Admission routes1
Has abstractyes

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