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Record W1767499484

Genetic factors correlated with survival in colorectal cancer: validation studies in patients from Newfoundland and Labrador

2012· dissertation· en· W1767499484 on OpenAlexaboutno aff
Amit A. Negandhi

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2012
Typedissertation
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsColorectal cancerOncologyCohortMedicineGenotypeInternal medicineDiseaseCancerDemographyBiologyGeneticsGene
DOInot available

Abstract

fetched live from OpenAlex

Colorectal cancer is a significant health concern in the province of Newfoundland and Labrador (NL) which has the highest age-standardized incidence and mortality rates for colorectal cancer in Canada. Several studies have attempted to identify inherited genetic variants which can serve as independent prognostic markers in colorectal cancer patients. We have conducted such a study in two colorectal cancer patient cohorts (discovery and validation sets) from Newfoundland. We investigated 27 genetic polymorphisms in the discovery cohort and attempted to replicate the positive correlations in the validation cohort. Our results showed that the MTHFR _Glu429Ala polymorphism was associated with worse overall survival in two cohorts albeit with an apparently different pattern of inheritance. An association of the heterozygote genotype of this polymorphism with shorter overall survival was also detected in male patients from both cohorts. Another polymorphism, ERCC5_His46His, was also found to be associated with disease-free survival in these cohorts. Further studies on these polymorphisms may facilitate understanding of the mechanisms behind prognostic differences among colorectal cancer patients and aid in better prediction of clinical outcomes.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.423
Threshold uncertainty score0.851

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.293
Teacher spread0.256 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueMemorial University Research Repository (Memorial University)Same topicGenetic factors in colorectal cancerFrench-language works237,207