A dose and schedule optimizing evaluation of MG98 given as either a 2 hour IV infusion twice weekly or as a 7 day continuous infusion in combination with interferon alpha (INF) in nephrectomized patients (pts) with advanced renal cell carcinoma (RCC)
Bibliographic record
Abstract
14557 Background: RCC is often associated with hypermethylated and silenced tumour suppressor genes. The enzyme DNMT1 is responsible for the majority of cellular DNA methylating capacity. MG98 is a second generation antisense inhibitor of DNMT1 which has been shown to reduce DNMT1 mRNA and protein. Methods: A trial of MG98 given as a 2 hour IV infusion twice weekly (Intermittent Schedule, IS) or as a 7 day continuous infusion (CI) in combination with INF has been conducted with nephrectomized pts with advanced RCC. Main endpoints: identification of the optimum regimen, safety, tolerability, pharmacokinetics (PK) and the degree of PBL DNMT1 mRNA suppression. Results: CI schedule: dose levels of 125mg of MG98 combined with 12 MIU of INF (125/12) and 125/9 have been evaluated (9 pts). The MTD has been reached; thrombocytopenia is dose limiting at 125/12. Pt demographics: M:F= 6:3, mean age of 63.2y (52–71). Most common Adverse Events (AEs): fever and chills (gr.1), fatigue (gr.1–2; 100% of pts), nausea and anorexia (gr.1–2), vomiting (gr.2; 66%). Best response: Stable Disease (SD) =3; Partial Response (PR) =1. Currently within the IS schedule, 3 dose levels (9 pts) have been evaluated: 160/12, 200/12 and 200/9, totaling 26 cycles. The MTD has been reached, with GI/constitutional symptoms being dose limiting at 200/12. Demographics: M:F= 7:2 median age 59.8y (40–76). Most common AEs in the first 3 pts are nausea and chills (100% of patients); fatigue (gr.1–2) and fever (66%; gr. 1–3). Best responses: 3 SD, 1 PR. PK evaluation on both schedules revealed no interaction between INF and MG98. DNMT1 inhibition data will be presented. Conclusions: Combination of INF and MG98 exhibits clinical activity and acceptable safety. [Table: see text]
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Non-randomized trial | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".