ReviewCA: a cancer journal for clinicians2020
An overview of precision oncology basket and umbrella trials for clinicians.
Review in CA: a cancer journal for clinicians, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 9 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
124 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Risk and Benefit for Basket Trials in Oncology: A Systematic Review and Meta-Analysis.Targeted oncology · 2025Pooled it
- Comprehensive overview of antibody drug-related clinical studies in gynecology: insights from ClinicalTrials.gov.Frontiers in medicine · 2025Pooled it
- A systematic methodology review of fluorescence-guided cancer surgery to inform the development of a core master protocol and outcome set.BMC cancer · 2024Pooled it
- Methodological Quality of Clinical Trials in Amyotrophic Lateral Sclerosis: A Systematic Review.Journal of neuromuscular diseases · 2024Pooled it
- Systematic review and meta-analysis of randomized controlled trials of mesenchymal stromal cells to treat coronavirus disease 2019: is it too late?Cytotherapy · 2023Pooled it
- Basket trials in oncology: a systematic review of practices and methods, comparative analysis of innovative methods, and an appraisal of a missed opportunity.Frontiers in oncology · 2023Pooled it
- Risk and benefit for umbrella trials in oncology: a systematic review and meta-analysis.BMC medicine · 2022Pooled it
- Design and analysis of umbrella trials: Where do we stand?Frontiers in medicine · 2022Pooled it
- Guidance for the Harmonisation and Improvement of Economic Evaluations of Personalised Medicine.PharmacoEconomics · 2021Pooled it
- Challenges in the measurement and valuation of oncological treatments in Spain: recommendations and call to action.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Advancing clinical trials for rare renal cell carcinoma subtypes: Consensus statements from the International Kidney Cancer Symposium North America 2025 think tank.Urologic oncology · 2026Article
- Emerging Therapeutic Strategies for Non-G12C KRAS Mutations in Colorectal Cancer: Focusing on G12D and G12V.Journal of gastrointestinal cancer · 2026Review
- A bibliometric analysis of medication studies in congenital heart disease.International journal of cardiology. Congenital heart disease · 2026Review
- Financing and health system capacity for precision medicine in Asia: a six country landscape analysis.Health affairs scholar · 2026Review
- Epidemiological Characteristics, Target Distribution, and Clinical Value of Targeted Anticancer Drugs Approved in China: A Cross-Sectional Study.Clinical pharmacology and therapeutics · 2026Article
- Article
- Overcoming chemotherapy resistance in diffuse large B-cell lymphoma using multifunctional nanocarriers: current advances and clinical challenges.Discover nano · 2026Review
- Tumor microenvironment-specific nanomedicine: from biology-driven to multi-omics-guided precision engineering.Journal of hematology & oncology · 2026Review
- Article
- FOCU.SE trial: a nationwide Swedish drug repurposing protocol and research framework.Acta oncologica (Stockholm, Sweden) · 2026Article
64 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With advancements in biomarkers and momentum in precision medicine, biomarker-guided trials such as basket trials and umbrella trials have been developed under the master protocol framework. A master protocol refers to a single, overarching design developed to evaluate multiple hypotheses with the general goal of improving the efficiency of trial evaluation. One type of master protocol is the basket trial, in which a targeted therapy is evaluated for multiple diseases that share common molecular alterations or risk factors that may help predict whether the patients will respond to the given therapy. Another variant of a master protocol is the umbrella trial, in which multiple targeted therapies are evaluated for a single disease that is stratified into multiple subgroups based on different molecular or other predictive risk factors. Both designs follow the core principle of precision medicine-to tailor intervention strategies based on the patient's risk factor(s) that can help predict whether they will respond to a specific treatment. There have been increasing numbers of basket and umbrella trials, but they are still poorly understood. This article reviews common characteristics of basket and umbrella trials, key trials and recent US Food and Drug Administration approvals for precision oncology, and important considerations for clinical readers when critically evaluating future publications on basket trials and umbrella trials and for researchers when designing these clinical trials.
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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.