ReviewFrontiers in oncology2017
Resources for Interpreting Variants in Precision Genomic Oncology Applications.
Review in Frontiers in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- RFC1 regulates the expansion of neural progenitors in the developing zebrafish cerebellum.Nature communications · 2025Article
- Leveraging artificial intelligence in next generation sequencing for head & neck cancer: opportunities and challenges.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
- Identification of germline population variants misclassified as cancer-associated somatic variants.Frontiers in medicine · 2024Article
- Comparison ofJCO precision oncology · 2022Article
- Knowledge bases and software support for variant interpretation in precision oncology.Briefings in bioinformatics · 2021Article
- MUSTARD-a comprehensive resource of mutation-specific therapies in cancer.Database : the journal of biological databases and curation · 2021Article
- [Molecular tumor diagnostics-current methods, examples of application and future].Der Pathologe · 2020Article
- Clinical Genome Data Model (cGDM) provides Interactive Clinical Decision Support for Precision Medicine.Scientific reports · 2020Article
- Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers.PLoS computational biology · 2019Review
- Precision medicine review: rare driver mutations and their biophysical classification.Biophysical reviews · 2019Review
- What Does This Mutation Mean? The Tools and Pitfalls of Variant Interpretation in Lymphoid Malignancies.International journal of molecular sciences · 2018Review
- Distribution of KRAS, DDR2, and TP53 gene mutations in lung cancer: An analysis of Iranian patients.PloS one · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision genomic oncology-applying high throughput sequencing (HTS) at the point-of-care to inform clinical decisions-is a developing precision medicine paradigm that is seeing increasing adoption. Simultaneously, new developments in targeted agents and immunotherapy, when informed by rich genomic characterization, offer potential benefit to a growing subset of patients. Multiple previous studies have commented on methods for identifying both germline and somatic variants. However, interpreting individual variants remains a significant challenge, relying in large part on the integration of observed variants with biological knowledge. A number of data and software resources have been developed to assist in interpreting observed variants, determining their potential clinical actionability, and augmenting them with ancillary information that can inform clinical decisions and even generate new hypotheses for exploration in the laboratory. Here, we review available variant catalogs, variant and functional annotation software and tools, and databases of clinically actionable variants that can be used in an
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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.