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Record W1786807852 · doi:10.3747/co.22.2635

Imatinib for Highly Chemoresistant Kaposi Sarcoma in a Patient with Long-Term HIV Control: A Case Report and Literature Review

2015· article· en· W1786807852 on OpenAlexafffundvenue
Wei Cao, Kishanda Vyboh, Bertrand Routy, Myrna Chababi‐Atallah, Benoît Lemire, Jean‐Pierre Routy

Bibliographic record

VenueCurrent Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeMcGill University Health Centre
FundersCanadian Institutes of Health ResearchFondation PhilanthropiaMcGill University
KeywordsMedicineImatinibSarcomaTyrosine-kinase inhibitorContext (archaeology)Imatinib mesylateImmunosuppressionTyrosine kinaseKaposi's sarcomaReceptor tyrosine kinaseCancer researchImmunologyOncologyHuman herpesvirusInternal medicineReceptorPathologyCancerBiology

Abstract

fetched live from OpenAlex

Kaposi sarcoma (ks) is a vascular tumour caused by oncogenic human herpesvirus type 8; it often occurs with hiv-associated immunosuppression. Numerous cellular signalling pathways are involved in the pathogenesis of ks, among which receptor tyrosine kinases such as the c-Kit and platelet-derived growth factor receptors play an important role. Imatinib mesylate, a tyrosine kinase inhibitor, has resulted in partial regression of ks lesions in one third of treated patients, but its mechanism of action remains unclear. Here, we report the case of a white man with recurrent ks despite well-suppressed hiv infection and multiple chemotherapies who received imatinib and showed a complete and sustained tumour response. To our knowledge, this report is the first showing the value of imatinib in the management of ks in the context of long-lasting hiv control with adequate quantitative CD4 recovery. Our case indicates that imatinib can be a treatment option for highly chemoresistant recurrent ks in patients on long-term antiretroviral therapy.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.043
GPT teacher head0.368
Teacher spread0.324 · 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 designCase report
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

Citations13
Published2015
Admission routes3
Has abstractyes

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