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Targeting the Hedgehog Pathway for Locally Advanced and Metastatic Basal Cell Carcinoma

2017· review· en· W2588244614 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Pharmaceutical Design · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVismodegibHedgehog signaling pathwayBasal cell carcinomaMedicineSmoothenedHedgehogPTCH1Cancer researchInternal medicineOncologyBioinformaticsSurgeryBasal cellBiologySignal transduction

Abstract

fetched live from OpenAlex

Basal cell caricnoma (BCC), the most common periocular magliancy, is treated with complete surgical excision. However, in patients not amenable to surgery or when surgical resection means loss of vital organs or disfiguring procedures due to locally advanced or metastatic disease, targeting the hedgehog pathway offers a novel treatment approach for such patients. Mutation in PTCH1 and SMO has been identified in patients with basal cell nevoid syndrome as well as in patients with sporadic BCC. Inhibition of SMO by vismodegib or sonidegib, the two sonic hedgehog inhibitor drugs approved by the Food and Drug Administration in the United States, has shown overall response rate for locally advanced and metastatic BCC around 50%. The most common side effects were muscle cramps, weight loss, fatigue, and lost appetite. Resistance to vismodegib has been attributed to mutation in SMO or activation of RAS/MAPK pathway. New research into dual inhibition aims to overcome this resistance and provide more lasting response.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.265
GPT teacher head0.440
Teacher spread0.175 · 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