ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020
Multiparametric MR-PET Imaging Predicts Pharmacokinetics and Clinical Response to GDC-0084 in Patients with Recurrent High-Grade Glioma.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01547546 (An Open-label, Phase I, Dose-escalation Study Evaluating the Safety and Tolerability of GDC-0084 Administered to Patients With Progressive or Recurrent High-grade Glioma), which is not on this map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
An Open-label, Phase I, Dose-escalation Study Evaluating the Safety and Tolerability of GDC-0084 Administered to Patients With Progressive or Recurrent High-grade Glioma
Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Evaluating "brain permeability": A critical issue for the development of therapeutic agents for primary and metastatic brain tumors.Neuro-oncology · 2026Review
- Multiple patient-derived glioblastoma models reveal synthetic lethality through concurrent PI3K and CDK4/6 inhibition by blocking trans-active cooperation.Neuro-oncology · 2026Article
- Article
- Targeting PI3K family with small-molecule inhibitors in cancer therapy: current clinical status and future directions.Molecular cancer · 2024Review
- Multifaceted role of mTOR (mammalian target of rapamycin) signaling pathway in human health and disease.Signal transduction and targeted therapy · 2023Review
- Balancing Risk and Efficiency in Drug Development for Rare and Challenging Tumors: A New Paradigm for Glioma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022Review
- Review
- "Aerobic glycolytic imaging" of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging.NeuroImage. Clinical · 2021Article
- Visualization of Diagnostic and Therapeutic Targets in Glioma With Molecular Imaging.Frontiers in immunology · 2020Review
- Multi-threshold volumetricNeuro-oncology advancesArticle
- Therapeutic Response Assessment of High-Grade Gliomas During Early-Phase Drug Development in the Era of Molecular and Immunotherapies.Cancer journal (Sudbury, Mass.)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 7 institutions in 4 countries.
Funding
Abstract
purposeGDC-0084 is an oral, brain-penetrant small-molecule inhibitor of PI3K and mTOR. Because these two targets alter tumor vascularity and metabolism, respectively, we hypothesized multiparametric MR-PET could be used to quantify the response, estimate pharmacokinetic (PK) parameters, and predict progression-free survival (PFS) in patients with recurrent malignant gliomas. PATIENTS AND
methodsMultiparametric advanced MR-PET imaging was performed to evaluate physiologic response in a first-in-man, multicenter, phase I, dose-escalation study of GDC-0084 (NCT01547546) in 47 patients with recurrent malignant glioma.
resultsMeasured maximum concentration (
conclusionsResults from this study suggest composite biomarkers created from multiparametric MR-PET imaging targeting metabolic and/or physiologic processes specific to the drug mechanism of action may be useful for subsequent evaluation of treatment efficacy for larger phase II-III studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.