ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015
Opportunities for translational epidemiology: the important role of observational studies to advance precision oncology.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Risk-Adjusted Cancer Screening and Prevention (RiskAP): Complementing Screening for Early Disease Detection by a Learning Screening Based on Risk Factors.Breast care (Basel, Switzerland) · 2022Review
- Differences in effectiveness and use of laparoscopic surgery in locally advanced colon cancer patients.Scientific reports · 2021Article
- Leveraging Spatial Variation in Tumor Purity for Improved Somatic Variant Calling of Archival Tumor Only Samples.Frontiers in oncology · 2019Article
- Applications of RNA Indexes for Precision Oncology in Breast Cancer.Genomics, proteomics & bioinformatics · 2018Review
- Differences in Effectiveness and Use of Robotic Surgery in Patients Undergoing Minimally Invasive Colectomy.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2017Article
- Precision Oncology Framework for Investigation of Exercise As Treatment for Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2015Article
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
Abstract
Within current oncology practice, several genomic applications are being used to inform treatment decisions with molecularly targeted therapies in breast, lung, colorectal, melanoma, and other cancers. This commentary introduces a conceptual framework connecting the full spectrum of biomedical research disciplines, including fundamental laboratory research, clinical trials, and observational studies in the translation of genomic applications into clinical practice. The conceptual framework illustrates the contribution that well-designed observational epidemiologic studies provide to the successful translation of these applications, and characterizes the role observational epidemiology plays in driving the dynamic and iterative bench-to-bedside, and bedside-to-bench translation continuum. We also discuss how the principles of this conceptual model, emphasizing integration of multidisciplinary research, can be applied to the evolving paradigm in "precision oncology" focusing on multiplex tumor sequencing, and we identify opportunities for observational studies to contribute to the successful and efficient translation of this paradigm.Cancer Epidemiol Biomarkers Prev; 24(3); 484-9. ©2015 AACR.
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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.