INDUCE-1: A phase I open-label study of GSK3359609, an ICOS agonist antibody, administered alone and in combination with pembrolizumab in patients with advanced solid tumors.
Bibliographic record
Abstract
TPS3113 Background: Inducible T cell Co-Stimulator (ICOS), a member of the CD28/B7/CTLA-4 receptor superfamily expressed on T cells after engagement with cognate antigen and activation, provides a co-stimulatory signal augmenting T cell proliferation, survival and cytokine production. GSK3359609 is a humanized IgG4 antibody selected for its potent agonist activity against human ICOS. The unique mechanistic profile of an ICOS agonist antibody, such as GSK3359609, offers an opportunity to investigate the antitumor potential of targeting a T cell co-stimulator alone and in combination with other cancer immunotherapies such as pembrolizumab. Methods: INDUCE-1 is a first- in-human study evaluating safety, pharmacokinetics, pharmacodynamics, immunogenicity, and preliminary antitumor activity of GSK3359609 administered as an intravenous (IV) infusion once every 3 weeks (Q3W) alone (Part 1) and in combination with 200 mg pembrolizumab (Q3W IV infusion) or other immunotherapy (Part 2) in approximately 304 adult patients. In dose escalation, eligible patients are required to have selected relapsed/refractory solid tumors. Primary objective is to determine safety, tolerability, and maximum tolerated or administered dose. Modified toxicity probability interval method will inform dose escalation decisions (minimum 3 patients per dose level [DL]). In expansion, cohorts may be defined by factors such as tumor histology, biomarker features, or prior treatment. More than one GSK3359609 DL may be evaluated in an expansion cohort by random assignment. Blood immunophenotyping is monitored in all patients; tumor biopsies (before and on-treatment) are optional in escalation and required in expansion to provide biomarker data that may inform on optimal dose selection as well as mechanistic understanding of GSK3359609. Efficacy measures are every 9 weeks and are according to immune-related RECIST. As of 7 Feb 2017, the first 3 monotherapy DL cohorts completed without dose limiting toxicities; DL 4 enrollment is ongoing. Study is funded by GlaxoSmithKline and is in collaboration with Merck & Co., Inc. Clinical trial information: NCT02723955.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".