ArticleCancer research2013
Formalizing an integrative, multidisciplinary cancer therapy discovery workflow.
Article in Cancer research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 24 citations in OpenAlex.
- From Blood Flow to Tumor Cell Internalization: A Multistage Computational Model of Nanoparticle Dynamics.Pharmaceutical research · 2026Article
- Optimal dosing of anti-cancer treatment under drug-induced plasticity.NPJ systems biology and applications · 2025Article
- Modeling iontophoretic drug delivery in a microfluidic device.Lab on a chip · 2020Article
- Illuminating the Numbers: Integrating Mathematical Models to Optimize Photomedicine Dosimetry and Combination Therapies.Frontiers in physics · 2019Article
- Fighting Cancer with Mathematics and Viruses.Viruses · 2017Review
- Addressing current challenges in cancer immunotherapy with mathematical and computational modelling.Journal of the Royal Society, Interface · 2017Review
- Role of vascular normalization in benefit from metronomic chemotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- A Model for Spheroid versus Monolayer Response of SK-N-SH Neuroblastoma Cells to Treatment with 15-Deoxy-Computational and mathematical methods in medicine · 2016Article
- Implications of the Hybrid Epithelial/Mesenchymal Phenotype in Metastasis.Frontiers in oncology · 2015Review
- Metronomics: towards personalized chemotherapy?Nature reviews. Clinical oncology · 2014Review
- Current advances in mathematical modeling of anti-cancer drug penetration into tumor tissues.Frontiers in oncology · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
Abstract
Although many clinicians and researchers work to understand cancer, there has been limited success to effectively combine forces and collaborate over time, distance, data, and budget constraints. Here we present a workflow template for multidisciplinary cancer therapy that was developed during the 2nd Annual Workshop on Cancer Systems Biology sponsored by Tufts University, Boston, Massachusetts, in July 2012. The template was applied to the development of a metronomic therapy backbone for neuroblastoma. Three primary groups were identified: clinicians, biologists, and quantitative scientists (mathematicians, computer scientists, and engineers). The workflow described their integrative interactions; parallel or sequential processes; data sources and computational tools at different stages as well as the iterative nature of therapeutic development from clinical observations to in vitro, in vivo, and clinical trials. We found that theoreticians in dialog with experimentalists could develop calibrated and parameterized predictive models that inform and formalize sets of testable hypotheses, thus speeding up discovery and validation while reducing laboratory resources and costs. The developed template outlines an interdisciplinary collaboration workflow designed to systematically investigate the mechanistic underpinnings of a new therapy and validate that therapy to advance development and clinical acceptance.
Indexed as
Identifiers
What OpenQuestion holds
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.