A phase I trial of AEG35156 (XIAP antisense) administered as a continuous intravenous infusion in patients with advanced tumors
Bibliographic record
Abstract
3059 Background: The X-linked inhibitor of apoptosis (XIAP) is a potent anti-apoptotic protein. AEG35156 is a synthetic 2nd generation antisense oligonucleotide to human XIAP that enhances cancer cell apoptosis preclinically as a single agent and in combination with chemotherapeutics. Methods: The primary objective was to establish the maximum tolerated dose (MTD) of AEG35156 given as a 7-day continuous infusion every 3 weeks. Other objectives were to determine AEG35156 pharmacokinetics, XIAP inhibition in peripheral blood mononuclear cells and in tumour cells where feasible and document anti-tumour activity. Results: Sixteen adult patients have completed at least one 7-day infusion. Two dose-limiting toxicities (DLT) were observed in five patients treated at 160 mg/m2/day: grade 3 thrombocytopenia for more than 7 days and grade 3 ALT and AST elevation. Seven patients have been treated at 125 mg/m2/day with one DLT of grade 3 transaminase elevation. An approximately 50% decrease in XIAP mRNA was seen in peripheral blood leucocytes three days after the start of infusions at 160mg/m2/day. One patient with small lymphocytic non-Hodgkin’s lymphoma had marked but short lived decreases in peripheral lymphoblasts during AEG35156 administration closely associated with XIAP mRNA knockdown. One patient with breast cancer had an unconfirmed partial response. The trial has now been amended to also determine the MTD of a 3-day continuous infusion every 3 weeks. Three patients have been treated with 3-day infusions at 160mg/m2/day every 3 weeks with no significant toxicities observed and patients are currently being accrued at 213mg/m2/day. Conclusions: AEG35156 can be safely delivered by continuous infusion and preliminary evidence of XIAP mRNA knockdown and antitumour activity has been observed. [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".