Evidence map›Paper›PMID 26089097›Full record

ArticleJournal of mathematical biology2016

Dynamical properties of a minimally parameterized mathematical model for metronomic chemotherapy.

Heinz Schättler, Urszula Ledzewicz, Behrooz Amini

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Article in Journal of mathematical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Normalizing tumor microenvironment with nanomedicine and metronomic therapy to improve immunotherapy.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Role of vascular normalization in benefit from metronomic chemotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Heinz SchättlerDepartment of Electrical and Systems Engineering, Washington University, St. Louis, MO, 63130, USA.
Urszula LedzewiczDepartment of Mathematics and Statistics, Southern Illinois University, Edwardsville, IL, 62025, USA. uledzew@siue.edu.
Behrooz AminiDepartment of Mathematics and Statistics, Southern Illinois University, Edwardsville, IL, 62025, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A minimally parameterized mathematical model for low-dose metronomic chemotherapy is formulated that takes into account angiogenic signaling between the tumor and its vasculature and tumor inhibiting effects of tumor-immune system interactions. The dynamical equations combine a model for tumor development under angiogenic signaling formulated by Hahnfeldt et al. with a model for tumor-immune system interactions by Stepanova. The dynamical properties of the model are analyzed. Depending on the parameter values, the system encompasses a variety of medically realistic scenarios that range from cases when (i) low-dose metronomic chemotherapy is able to eradicate the tumor (all trajectories converge to a tumor-free equilibrium point) to situations when (ii) tumor dormancy is induced (a unique, globally asymptotically stable benign equilibrium point exists) to (iii) multi-stable situations that have both persistent benign and malignant behaviors separated by the stable manifold of an unstable equilibrium point and finally to (iv) situations when tumor growth cannot be overcome by low-dose metronomic chemotherapy. The model forms a basis for a more general study of chemotherapy when the main components of a tumor's microenvironment are taken into account.

Indexed as

Administration, MetronomicModels, BiologicalAdjuvants, ImmunologicAngiogenesis InhibitorsAntineoplastic AgentsComputer SimulationHumansMathematical ConceptsNeoplasmsNeovascularization, PathologicTumor MicroenvironmentAdjuvants, ImmunologicAngiogenesis InhibitorsAntineoplastic AgentsDynamical systemMetronomic chemotherapyModeling of cancer treatmentSaddle-node bifurcationsTumor microenvironment

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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.