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Record W2012404865 · doi:10.4161/cbt.26125

The flip side of doxorubicin

2013· letter· en· W2012404865 on OpenAlexfundno aff
Paul Dent

Bibliographic record

VenueCancer Biology & Therapy · 2013
Typeletter
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesMcGill University
KeywordsDoxorubicinAnthracyclineMAPK/ERK pathwaySorafenibPharmacologyToxicityCancer researchMedicineKinaseBiologyCell biologyChemotherapyInternal medicineCancer

Abstract

fetched live from OpenAlex

Cardiac toxicity is a major dose-limiting factor for the anthracycline drug doxorubicin. The reasons why doxorubicin causes heart damage are not fully understood, and the manuscript by Wong et al. postulates that inflammatory cytokines released from macrophages or other cell types may play a significant role in the damage process in response to doxorubicin and possibly other chemotherapeutic agents.(1) Expression of many cytokines requires activation of both the p38 MAPK and JNK pathways and, additionally, doxorubicin toxicity can be blocked by combined inhibition of both pathways.(2,3) The MAP3K responsible for doxorubicin-induced p38 MAPK and JNK activation in keratinocytes was previously shown by these authors to be ZAK.(4) ZAK is of note because it can be targeted by FDA approved agents such as nilotinib and sorafenib.(4-7)

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.241
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
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 head0.034
GPT teacher head0.312
Teacher spread0.278 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2013
Admission routes1
Has abstractyes

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