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Record W2766466820 · doi:10.1007/s12079-017-0419-1

Why target the tumor stroma in melanoma?

2017· review· en· W2766466820 on OpenAlexafffund
James Hutchenreuther, Andrew Leask

Bibliographic record

VenueJournal of Cell Communication and Signaling · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsWestern University
FundersCanadian Institutes of Health ResearchCancer Research Society
KeywordsStromaMelanomaExtracellular matrixCancer researchTumor microenvironmentMedicineCTGFMetastasisFibrosisMAPK/ERK pathwayCancerKinasePathologyBiologyTumor cellsGrowth factorImmunohistochemistryCell biologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

Melanoma metastasis is fatal. Melanoma cells are often characterized by an activated extracellular signal-regulated kinase (ERK) pathway downstream of mutations in BRAF. Therapies targeting these BRAF mutations are useful for a while; however, patients ultimately develop resistance to these therapies. Recent evidence suggests that this resistance occurs when tumor cells leave their microenvironment and migrate on a stiff, activated tumor stroma; that is, this resistance is linked to the presence of an extracellular matrix reminiscent of a fibrotic micronvironment. These data suggest that agents targeting fibrosis might be used to treat melanoma. We therefore discuss what is known about the tumor stroma in melanoma. An emergent target, CCN2 (CTGF), that is required for fibrosis, may also be a good target for drug-resistant melanoma. Intriguingly, anti-CCN2 antibodies are currently under clinical development.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.088
GPT teacher head0.379
Teacher spread0.291 · 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 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

Citations26
Published2017
Admission routes2
Has abstractyes

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