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Topical Treatment of Skin Squamous Cell Carcinoma with Potassium Dobesilate Cream

2012· article· en· W2102955742 on OpenAlexvenueno aff
Pedro Cuevas, J.C. Angulo, Adrián Cuevas-Bourdier, Guillermo Giménez‐Gallego

Bibliographic record

VenueJournal of cancer research updates · 2012
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSkin cancerAngiogenesisMelanomaCellCancer researchCancerDermatologyBasal cellCarcinogenesisCell growthEpidermis (zoology)PathologyInternal medicineBiologyAnatomy

Abstract

fetched live from OpenAlex

Skin squamous cell carcinoma, the second most common skin cancer arises from the malignant proliferation of keratinocytes in the epidermis. Although it is locally invasive, surgical excision or topical therapy is usually curative. However, surgical management of skin squamous cell carcinoma located in certain regions of the body may require reconstructive procedures. This can result in significant scarring and increased morbidity and dysfunction. Topical therapy may be preferable to surgery depending on anatomic localizations, and in instances where patients reject it or are poor surgical candidates. Fibroblast growth factors are variously implicated in skin tumorigenesis where they may be involved in the enhancement of tumor cell proliferation and viability, induction of angiogenesis and stimulation of tumor invasiveness. We investigated the efficacy and safety of the fibroblast growth factor inhibitor, dobesilate, administered as a 5% potassium cream, for the treatment of skin squamous cell carcinoma. Two months application of dobesilate cleared squamous cell carcinoma probably due to inhibition of cell proliferation and angiogenesis, and induction of tumor cell apoptosis. No local side effects were observed in relation with treatment. This report highlights the need for efficient and safe topical therapies in the management of skin neoplasms and supports the use of potassium dobesilate in non-melanoma skin cancers treatment.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.445

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 studies0.0000.000
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 head0.049
GPT teacher head0.382
Teacher spread0.333 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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