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Record W2150380321 · doi:10.1093/carcin/bgh191

DNA mismatch repair proteins promote apoptosis and suppress tumorigenesis in response to UVB irradiation: an in vivo study

2004· article· en· W2150380321 on OpenAlexaff
Leah C. Young

Bibliographic record

VenueCarcinogenesis · 2004
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCarcinogenesisMSH2DNA mismatch repairApoptosisDNA damageDNA repairBiologyGenome instabilityCancer researchIn vivoMicrosatellite instabilityPyrimidine dimerMolecular biologyCell biologyDNAGeneticsCancerGene

Abstract

fetched live from OpenAlex

DNA mismatch repair (MMR) proteins are integral to the maintenance of genomic stability and suppression of tumorigenesis due to their role in repair of post-replicative DNA errors. Recent data also support a role for MMR proteins in cellular responses to exogenous DNA damage that does not involve removal of DNA adducts. We have demonstrated previously that both Msh2- and Msh6-null primary mouse embryonic fibroblasts are significantly less sensitive to UVB (ultraviolet B)-induced cytotoxicity and apoptosis than wild-type control cells. In order to ascertain the physiological relevance of the data we have exposed MMR-deficient mice to acute and chronic UVB radiation. We found that MMR-deficiency was associated with reduced levels of apoptosis and increased residual UVB-induced DNA adducts in the epidermis 24-h following acute UVB exposure. Moreover, Msh2-null mice developed UVB-induced skin tumors at a lower level of cumulative UVB exposure and with a greater severity of onset than wild-type mice. The Msh2-null skin tumors did not display microsatellite instability, suggesting that these tumors develop via a different tumorigenic pathway than tumors that develop spontaneously. Therefore, we propose that dysfunctional MMR promotes UVB-induced tumorigenesis through reduced apoptotic elimination of damaged epidermal cells.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.021
GPT teacher head0.283
Teacher spread0.263 · 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.

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

Citations31
Published2004
Admission routes1
Has abstractyes

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