MétaCan
Menu
Back to cohort

DNA repair and replication proteins as prognostic markers in melanoma

2012· article· en· W1896698005 on OpenAlexaff
Liang Song, Tammy Robson, Tamasin Doig, Thomas Brenn, Marie E. Mathers, Ewan Brown, V.R. Doherty, John M.S. Bartlett, Niall Anderson, David W. Melton

Bibliographic record

VenueHistopathology · 2012
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsOccupational Cancer Research CentreOntario Institute for Cancer Research
Fundersnot available
KeywordsDNA replicationDNA repairBiologyTopoisomeraseDNACancer researchMelanomaDNA damageReplication protein ATissue microarrayMolecular biologyGeneGeneticsDNA-binding proteinCancer

Abstract

fetched live from OpenAlex

AIMS: Elevated expression of DNA repair and replication genes has been reported in thick, non-fixed primary melanomas that subsequently went on to metastasize, when compared to non-recurrent primary tumours. This increased expression could contribute to the extreme resistance shown by melanoma to DNA-damaging chemotherapeutics. We have investigated the hypothesis that levels of key DNA repair and replication proteins are prognostic biomarkers in melanoma. METHODS AND RESULTS: We used a tissue microarray containing samples from all stages of melanomagenesis to investigate the hypothesis that levels of key DNA repair and replication proteins are prognostic biomarkers in a larger, more representative and readily available set of fixed primary melanomas. High expression of topoisomerase IIα (TOP2A), that relieves torsional stress during DNA replication, and XRCC5 (Ku80), required for DNA double-strand break repair, were associated with significantly worse survival. CONCLUSIONS: Two (XRCC5 and TOP2A) of seven DNA repair and replication proteins studied were prognostic for melanoma.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.322

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 head0.253
Teacher spread0.240 · 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 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

Citations28
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueHistopathologySame topicCutaneous Melanoma Detection and ManagementFrench-language works237,207