ReviewTheoretical biology & medical modelling2015
Proposal of a hybrid approach for tumor progression and tumor-induced angiogenesis.
Review in Theoretical biology & medical modelling, 2015. 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
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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.
- A robust modeling framework to investigate transmissible diseases: COVID-19 in Chile as a case study.Frontiers in public health · 2025Article
- Editorial for the Special Issue "Angiogenic Growth Factors in Tumor Development: Beyond New Blood Vessels Formation".Biomedicines · 2024Article
- A general modeling framework for quantitative tracking, accurate prediction of ICU, and assessing vaccination for COVID-19 in Chile.Frontiers in public health · 2023Article
- Non-Invasive and Real-Time Monitoring of the Breast Cancer Metastasis Degree via Metabolomics.Cancers · 2022Article
- Comparative study between discrete and continuum models for the evolution of competing phenotype-structured cell populations in dynamical environments.Physical review. E · 2020Article
- Multiple Cell Signalling Pathways of Human Proinsulin C-Peptide in Vasculopathy Protection.International journal of molecular sciences · 2020Review
- Article
- Association between expression of nuclear receptor co-activator 5 protein and prognosis in postoperative patients with osteosarcoma.Oncology letters · 2018Article
- The Antitumor Activities ofFrontiers in oncology · 2018Review
- Monitoring of tumor vascular normalization: the key points from basic research to clinical application.Cancer management and research · 2018Review
- Pro-angiogenic Role of Insulin: From Physiology to Pathology.Frontiers in physiology · 2017Review
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
One of the main challenges in cancer modelling is to improve the knowledge of tumor progression in areas related to tumor growth, tumor-induced angiogenesis and targeted therapies efficacy. For this purpose, incorporate the expertise from applied mathematicians, biologists and physicians is highly desirable. Despite the existence of a very wide range of models, involving many stages in cancer progression, few models have been proposed to take into account all relevant processes in tumor progression, in particular the effect of systemic treatments and angiogenesis. Composite biological experiments, both in vitro and in vivo, in addition with mathematical modelling can provide a better understanding of theses aspects. In this work we proposed that a rational experimental design associated with mathematical modelling could provide new insights into cancer progression. To accomplish this task, we reviewed mathematical models and cancer biology literature, describing in detail the basic principles of mathematical modelling. We also analyze how experimental data regarding tumor cells proliferation and angiogenesis in vitro may fit with mathematical modelling in order to reconstruct in vivo tumor evolution. Additionally, we explained the mathematical methodology in a comprehensible way in order to facilitate its future use by the scientific community.
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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.