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Record W2552810623 · doi:10.1182/blood.v104.11.261.261

Improved Leukemia-Free Survival after Post-Consolidation Treatment with Histamine Dihydrochloride and Interleukin-2 in AML: A Randomized Phase III Trial.

2004· article· en· W2552810623 on OpenAlexaff
Mats Brune, Sylvie Castaigné, John Catalano, Kurt R. Gehlsen, Wolf‐Karsten Hofmann, Anthony D. Ho, Donna E. Hogge, Bo Nilsson, Reuven Or, Jacob M. Rowe, Bengt Simonsson, Ruth Spearing, Edward A. Stadtmauer, Jeff Szer, Elisabeth Wallhult, Kristoffer Hellstrand

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyRandomized controlled trialLeukemiaSurgery

Abstract

fetched live from OpenAlex

Abstract Background: Histamine dihydrochloride (HDC) potentiates immune-based therapies by protecting pivotal anti-neoplastic lymphocytes from phagocyte-induced suppression. Previous results in AML indicated that post-consolidation treatment with HDC and low-dose interleukin-2 (IL-2) is safe and feasible, and that the combination may prolong leukemia-free survival (LFS). Aims: The primary objective was to determine if post-consolidation treatment with IL-2 and HDC could improve LFS for AML pts in complete remission (CR). Secondary objectives included overall survival (OS), LFS in CR1 and CR>1 subgroups, and safety. Methods: This international, randomized, open-label, phase III study was conducted at 92 centers. From June 1998 to October 2000, 320 AML pts [148 females, 172 males, median age 57 (18–84) yrs] were enrolled in CR after completion of standard consolidation therapy. Pts were stratified by CR1 or CR>1 and randomized to either treatment (n=160) or no treatment (control, n=160) arms. The treatment was self-administered at home and included 10 cycles of low-dose IL-2 (aldesleukin, Chiron Corp) 18 000 U/kg, sc bid plus HDC (Maxim Pharmaceuticals) 0.5 mg sc bid. For cycles 1–3, each cycle comprised 3 wks of treatment and 3 wks of rest, whereas in cycles 4–10 the rest periods were 6 wks. The study arms were well balanced with respect to age, sex, karyotype-based risk, time from CR to inclusion and frequency of secondary leukemia. Pts were followed for relapse and survival using an identical assessment schedule until 3 yrs after last enrollment. All efficacy analyses were intent-to-treat. Results: The median follow-up of living pts was 46 months. For the primary endpoint, treatment with HDC/IL-2 increased LFS in the entire study population (CR1/CR>1, n=320, p=0.026 stratified log-rank test). There was no significant difference in OS (p=0.33). In the analysis of pre-stratified subgroups, one pt was excluded. For CR1 pts (n=262), HDC/IL-2 significantly improved LFS (p=0.011, log-rank test), with 3-year Kaplan-Meier estimates of 26% (control group) and 40% (treatment group). The difference in OS did not reach significance (p=0.16). For CR>1 pts (n=57), outcome was not affected by treatment. Side effects attributable to IL-2 included fever and local inflammatory reactions. HDC treatment induced symptoms of transient vasodilatation. Serious adverse events occurred in approximately 20% of pts in both groups. There were no treatment-related deaths. Conclusions: For AML pts in CR, post-consolidation therapy with HDC and IL-2 was safe and significantly improved LFS compared to standard of care. The benefit observed of HDC/IL-2 treatment appears to be explained by a reduction of relapses in CR1 pts.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.256
Teacher spread0.249 · 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 designRandomized 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

Citations6
Published2004
Admission routes1
Has abstractyes

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