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The Influence of Pigment Transfer on the Risk of Developing Melanoma: The Significance of the Melanocyte Amputation Cycle

2016· article· en· W2518240206 on OpenAlexvenueno aff
Patrick A. Riley

Bibliographic record

VenueJournal of Analytical Oncology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsnot available
Fundersnot available
KeywordsMelanocyteMelanomaBiologySkin cancerIncidence (geometry)Epidermis (zoology)AmputationMelanosomePopulationCancerCancer researchMedicineGeneticsMelaninAnatomySurgeryOptics

Abstract

fetched live from OpenAlex

It has been shown that cancer incidence is not only a function of the size of the population at risk but is strongly associated with the turnover rate of the tissue concerned. There is a strong negative correlation between melanoma incidence and the degree of skin pigmentation, and yet the melanocyte density is the same for all races. The proposal advanced in this communication is that the probability of undergoing malignant change is critically dependent on the melanocyte turnover and that this is regulated by the pigmentation process. In melanocytes, the division rate is influenced by the process of pigment donation, probably by a mechanism whereby the continual cytoplasmic loss due to cytocrine transfer of melanosomes (termed the ‚Amputation Cycle‚) inhibits replication. Consequently the turnover of melanocyte stem cells in heavily pigmented epidermis will be diminished, and this is held to account for the strong negative correlation between the degree of skin pigmentation and melanoma incidence.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.141

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.280
Teacher spread0.267 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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