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Record W1182310132 · doi:10.3747/co.22.2467

Unusual Presentation of Metastatic Sebaceous Crcinoma and Its Response to Chemotherapy: Is Genotyping a Right Answer for Guiding Chemotherapy in Rare Tumours?

2015· article· en· W1182310132 on OpenAlexvenueno aff
Vivek Kumar, Yangfan Xu

Bibliographic record

VenueCurrent Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChemotherapyPresentation (obstetrics)GenotypingOncologyDermatologyInternal medicineSurgeryGenotypeGeneticsBiologyGene

Abstract

fetched live from OpenAlex

Sebaceous carcinoma is a rare malignant tumour of skin. It commonly occurs in the head and neck region. The standard of care for localized disease is wide local excision followed by radiotherapy. Occasionally, sebaceous carcinoma can be associated with Muir-Torre syndrome, which is characterized by sebaceous lesions and carcinomas in the visceral organs. Metastatic sebaceous carcinoma is even rarer, with very little evidence about the role of chemotherapy in the treatment of metastatic disease. Here, we report a case of recurrent sebaceous carcinoma metastatic to the rectum (initially mimicking rectal cancer and Muir-Torre syndrome) in which the disease responded to multiple lines of chemotherapy. We also review the available literature on chemotherapy in this disease and discuss the role of tumour profiling and genotype-guided selection of chemotherapeutics in such rare tumours.

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 score0.247
Threshold uncertainty score0.659

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 head0.171
GPT teacher head0.438
Teacher spread0.266 · 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

Citations26
Published2015
Admission routes1
Has abstractyes

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