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Role of nodal signaling and the microenvironment underlying melanoma plasticity

2008· review· en· W2028661474 on OpenAlexafffund
Lynne‐Marie Postovit, Naira V. Margaryan, Elisabeth A. Seftor, Mary J.C. Hendrix

Bibliographic record

VenuePigment Cell & Melanoma Research · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsWestern University
FundersNational Cancer InstituteCanadian Institutes of Health ResearchCharlotte Geyer Foundation
KeywordsNODALNodal signalingReprogrammingMelanomaBiologyEpigeneticsCancer researchCarcinogenesisRegulatorMalignant transformationNotch signaling pathwaySkin cancerEmbryonic stem cellSignal transductionCell biologyCancerCellGenetics

Abstract

fetched live from OpenAlex

The incidence of melanoma has increased dramatically over the last 50 yr, and although melanoma accounts for only 10% of all skin cancers, it is responsible for over 80% of skin cancer deaths. Recent studies have uncovered critical molecular events underlying melanocytic transformation and melanomagenesis. Among these noteworthy observations are the acquisition of stem cell-associated proteins, such as the Notch receptors and Nodal, which have also been implicated in melanoma progression. For example, we have demonstrated that Nodal expression is limited to invasive vertical growth phase and metastatic melanoma lesions, and that inhibition of Nodal signaling promotes the reversion of metastatic melanoma cells toward a more differentiated, less invasive non-tumorigenic phenotype. In addition, molecular cross-talk exists between the Notch and Nodal signaling pathways. Interestingly, the acquisition of stem cell-associated plasticity is often acquired via epigenetic mechanisms, and is therefore receptive to reprogramming in response to embryonic microenvironments. Here, we review the concept of melanoma plasticity, with an emphasis on the emerging role of Nodal as a regulator of melanoma tumorigenesis and progression, and present findings related to epigenetic reprogramming.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.051
GPT teacher head0.326
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations57
Published2008
Admission routes2
Has abstractyes

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