ReviewFrontiers in cell and developmental biology2020
A Review of Precision Oncology Knowledgebases for Determining the Clinical Actionability of Genetic Variants.
Review in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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
22 citing papers in PubMed.
- The - 216G/T polymorphism in the EGFR gene: A review focusing on Non-Small lung cancer.Molecular biology reports · 2025Review
- High-throughput characterization of 5886 HER2 variants identifies 112 new in cellulo gain-of-function mutations.Genomics · 2025Article
- New Gain-of-Function Mutations Prioritize Mechanisms of HER2 Activation.medRxiv : the preprint server for health sciences · 2025Article
- OKAIN: A comprehensive oncology knowledge base for the interpretation of clinically actionable alterations.Open medicine (Warsaw, Poland) · 2025Article
- Molecular diagnostics tailoring personalized cancer therapy-an oncologist's view.Virchows Archiv : an international journal of pathology · 2024Review
- The consequences of data dispersion in genomics: a comparative analysis of data sources for precision medicine.BMC medical informatics and decision making · 2023Article
- Building a large gene expression-cancer knowledge base with limited human annotations.Database : the journal of biological databases and curation · 2023Article
- Consensus Statements on Precision Oncology in the China Greater Bay Area.JCO precision oncology · 2023Article
- Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis.Cancers · 2022Review
- SMART COVID Navigator, a Clinical Decision Support Tool for COVID-19 Treatment: Design and Development Study.Journal of medical Internet research · 2022Article
- Data-driven support to decision-making in molecular tumour boards for lymphoma: A design science approach.Frontiers in oncology · 2022Article
- Computational Approaches for the Investigation of Intra-tumor Heterogeneity and Clonal Evolution from Bulk Sequencing Data in Precision Oncology Applications.Advances in experimental medicine and biology · 2022Review
- Pathway Analysis for Cancer Research and Precision Oncology Applications.Advances in experimental medicine and biology · 2022Article
- Knowledge bases and software support for variant interpretation in precision oncology.Briefings in bioinformatics · 2021Article
- My Cancer Genome: Coevolution of Precision Oncology and a Molecular Oncology Knowledgebase.JCO clinical cancer informatics · 2021Article
- Advancing clinical genomics and precision medicine with GVViZ: FAIR bioinformatics platform for variable gene-disease annotation, visualization, and expression analysis.Human genomics · 2021Article
- Implementation of Precision Oncology for Patients with Metastatic Breast Cancer in an Interdisciplinary MTB Setting.Diagnostics (Basel, Switzerland) · 2021Article
- Machine learning in the prediction of cancer therapy.Computational and structural biotechnology journal · 2021Review
- The Role of Early Growth Response Family Members 1-4 in Prognostic Value of Breast Cancer.Frontiers in genetics · 2021Article
- Personalised Medicine: implication and perspectives in the field of occupational health.La Medicina del lavoro · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The increased availability of tumor genetic testing and targeted cancer therapies contributes to the advancement of precision medicine in the field of oncology. Precision oncology knowledgebases provide a way of organizing clinically relevant genetic information in a way that is easily accessible for both oncologists and patients, facilitating the genetic-based clinical decision making. Many organizations and companies have built precision oncology knowledgebases, intended for multiple users. In general, these knowledgebases offer information on cancer-related genetic variants as well as their associated diagnostic, prognostic, and therapeutic implications, but they often differ in their information curations, designs, and user experiences. It is advisable that oncologists use multiple knowledgebases during their practice to have them complement each other. In the future, convergence toward common standards and formats is needed to ensure that the comprehensive knowledge across all sources can be unified to bring the oncology community closer to the achievement of the goal of precision oncology.
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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.