PDCT-13. ENTRECTINIB IN CHILDREN AND ADOLESCENTS WITH RECURRENT OR REFRACTORY SOLID TUMORS INCLUDING PRIMARY CNS TUMORS
Bibliographic record
Abstract
Abstract The phase 1/2 STARTRK-NG trial is evaluating entrectinib, a CNS-penetrant oral inhibitor of TRK, ROS1 and ALK tyrosine kinases, in children with solid tumors, including primary CNS tumors. Eligible patients are ≤22y with recurrent/refractory solid tumors. The recommended dose was determined in all-comers, and then expansion cohorts of CNS and solid tumors with NTRK1/2/3, ROS1 or ALK gene fusions, and neuroblastomas (NBL) regardless of mutation spectrum, were enrolled. Investigator-assessed response was classified as complete (CR) or partial response (PR), stable (SD) or progressive disease using RANO (CNS), RECIST (solid tumors), or Curie score (NBL). By the clinical data cut-off, 01 April 2019, 32 patients were enrolled. As of 31 Oct 2018 (enrollment data cut-off), 29 patients were enrolled and included in the evaluable population. Median age was 7y (range 4.9m to 20y). Entrectinib was well tolerated; phase 1 dose-limiting toxicities were: elevated creatinine, dysgeusia, fatigue, and pulmonary edema. The recommended dose was 550mg/m2 daily; all responses occurred at doses ≥400mg/m2. In 6 patients with high-grade CNS tumors, all gene-fusion-positive, ORR was 100% (Investigator-assessed responses): 2 CR (ETV6-NTRK3, EML1-NTRK2); 4 PR (TPR-NTRK1, KANK1-NTRK2, EEF1G-ROS1, GOPC-ROS1). In extracranial solid tumors 6/8 had a fusion; of these, 2 achieved a confirmed CR (DCTN1-ALK, ETV6-NTRK3), and 4 achieved PR (ETV6-NTRK3, EML4-NTRK3, TFG1-ROS1, KIF5B-ALK). Central imaging review is being performed and will be provided. Duration of therapy ranged from 0.2 to 22.2 months for all 32 patients. In responding patients, time to response ranged from 1 to 8.3 months. In children with refractory CNS tumors harboring NTRK1/2/3 or ROS1 fusions, entrectinib produced striking, rapid, and durable responses. No responses were seen in tumors lacking target gene fusions. These results support the continued evaluation of entrectinib in solid tumors with target gene fusions, especially high-grade CNS neoplasms.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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, 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".