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Record W2077488231 · doi:10.1080/10428190701799035

Phase I clinical study of diphtheria toxin-interleukin 3 fusion protein in patients with acute myeloid leukemia and myelodysplasia

2008· article· en· W2077488231 on OpenAlexaff
Arthur E. Frankel, Jen-Sing Liu, David A. Rizzieri, Donna E. Hogge

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsUniversity of British Columbia
FundersNational Cancer Institute
KeywordsMedicineChillsDiphtheria toxinRefractory (planetary science)Myeloid leukemiaGastroenterologyInternal medicineHypoalbuminemiaDiphtheriaLeukemiaSurgeryImmunologyVaccinationToxin

Abstract

fetched live from OpenAlex

DT(388)IL3 fusion protein containing the catalytic and translocation domains of diphtheria toxin fused to human interleukin 3 was administered in an inter-patient dose escalation trial by 15 min i.v. infusions every other day for up to 6 doses to patients with chemo-refractory acute myeloid leukemia (AML) and myelodysplasia (MDS). The maximal tolerated dose was >12.5 microg/kg/dose. Transient grade 3 transaminasemia and grade 2 fevers, chills, hypoalbuminemia, and hypotension occurred. Peak DT(388)IL3 levels correlated with dose and day of administration but not antibody titer. Anti-DT(388)IL3 antibodies developed in most patients between day 15 and 30. Of 40 evaluable AML patients, 1 had a CR (8 months) and 1 had PR (3 months). Of 5 MDS patients, 1 had a PR (4 months). Because of the prolonged infusion schedule, many patients failed to receive six doses. DT(388)IL3 produces remissions in patients with relapsed/refractory AML and MDS with minimal toxicities, and alternate schedules of administration are needed to enhance the response rate.

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.244
Teacher spread0.233 · 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 designNon-randomized trial
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

Citations153
Published2008
Admission routes1
Has abstractyes

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