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A phase II study of the antisense oligonucleotide GTI-2040 plus docetaxel and prednisone as first line treatment in hormone refractory prostate cancer (HRPC)

2006· article· en· W2534121364 on OpenAlexaffabout
Srikala S. Sridhar, Christina M. Canil, Sebastién J. Hotte, K.N. Chi, Scott Ernst, Gregory R. Pond, C. Dick, James A. Zwiebel, Malcolm J. Moore

Bibliographic record

VenueJournal of Clinical Oncology · 2006
Typearticle
Languageen
FieldChemistry
TopicMetal-Catalyzed Oxygenation Mechanisms
Canadian institutionsPrincess Margaret Cancer CentreJuravinski Cancer CentreBC Cancer Agency
Fundersnot available
KeywordsDocetaxelMedicineNeutropeniaTolerabilityProstate cancerInternal medicineChemotherapyOncologyRibonucleotide reductasePharmacologyCabazitaxelCancerGastroenterologyAdverse effectAndrogen deprivation therapyBiologyProtein subunit

Abstract

fetched live from OpenAlex

13015 Background: Despite initial responses to chemotherapy, median survival in HRPC remains a dismal 18 mos. Novel therapeutic approaches are clearly needed. The enzyme ribonucleotide reductase (RNR) composed of 2 subunits, R1 and R2 is essential for DNA synthesis and repair. The R2 subunit is often overexpressed in tumors increasing their malignant potential and promoting drug resistance. GTI-2040 (Lorus Therapeutics, Canada) is an antisense oligonucleotide to the R2 subunit downregulating its expression. In preclinical studies, GTI-2040 has shown antitumor activity in prostate cancer xenografts, synergy and non-overlapping toxicity with the taxanes. It is therefore a rational choice for combination with docetaxel in HRPC. Objectives: To determine efficacy of this regimen using PSA response rate. Secondary objectives include: duration of response, TTP, objective tumor response rate, safety and tolerability. Pharmacokinetic (PK) studies will be performed. PBMC will be used to determine RNR activity and R2 subunit quantitation. Methods: HRPC patients with PS 0–2, adequate organ function and no prior chemotherapy were treated with GTI-2040 5mg/kg/d continuous infusion for 14d, docetaxel 75 mg/m2 IV every 21d, and prednisone 5mg twice daily. Results: Twenty-two pts in 5 centers have been enrolled. Pts have received a total of 107 cycles to date. Median age 63 (52–77); median baseline PSA 140 (26–1256); ECOG 0:1:2: 14:7:1; prior radiotherapy in 14 pts. Pts received a median of 5 cycles (2–10). Grade 3/4 hematologic toxicities were lymphophenia (10pts), leukopenia (7pts), and neutropenia (7pts). Anemia (any grade) was seen in 19 pts across 92 cycles. Most frequent non-hematologic toxicities were fatigue and pain. PSA responses seen in 9/22 pts. Objective tumor response:1 PR, 9 SD, 3 PD, 3 off due to toxicity prior to objective response measurement, 3 no measureable lesions, 3 to be assessed. 19 pts off treatment: 9 PD, 4 toxicity (1 toxic death), 2 completed 10 cycles, 2 at investigator’s discretion and 2 withdrew consent. Three pts remain on study. Median TTP estimated at 17 wks. Accrual has been sufficient to meet stage 1 requirements. Final response, toxicity, pK, RNR and R2 subunit analysis will be available and presented. No significant financial relationships to disclose.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.069
GPT teacher head0.418
Teacher spread0.348 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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