Evidence map›Paper›PMID 26510827›Full record

ArticleJournal of the Royal Society, Interface2015

Cancer therapeutic potential of combinatorial immuno- and vasomodulatory interventions.

H Hatzikirou, J C L Alfonso, S Mühle, C Stern, S Weiss, M Meyer-Hermann

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. The biology and mathematical modelling of glioma invasion: a review.Journal of the Royal Society, Interface · 2017
    Review
  8. Article
  9. Article
  10. Article
  11. 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

6 authors at 3 institutions in 1 country.

H HatzikirouCenter for Advancing Electronics, Technische Universität Dresden, 01062 Dresden, Germany Center for Information Services and High Performance Computing, Technische Universität Dresden, 01062 Dresden, Germany Department of Systems Immunology and Braunschweig Integrated Centre of Systems Biology, Helmholtz Center for Infectious Research, Inhoffenstrasse 7, 38124 Braunschweig, Germany haralambos.hatzikirou@tu-dresden.de.
J C L AlfonsoCenter for Advancing Electronics, Technische Universität Dresden, 01062 Dresden, Germany Center for Information Services and High Performance Computing, Technische Universität Dresden, 01062 Dresden, Germany.
S MühleMolecular Immunology, Helmholtz Center for Infectious Research, Inhoffenstrasse 7, 38124 Braunschweig, Germany.
C SternMolecular Immunology, Helmholtz Center for Infectious Research, Inhoffenstrasse 7, 38124 Braunschweig, Germany.
S WeissMolecular Immunology, Helmholtz Center for Infectious Research, Inhoffenstrasse 7, 38124 Braunschweig, Germany Institute of Immunology, Medical School Hannover, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany.
M Meyer-HermannDepartment of Systems Immunology and Braunschweig Integrated Centre of Systems Biology, Helmholtz Center for Infectious Research, Inhoffenstrasse 7, 38124 Braunschweig, Germany Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Helmholtz Centre for Infection Research · DEMedizinische Hochschule Hannover · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, most of the basic mechanisms governing tumour-immune system interactions, in combination with modulations of tumour-associated vasculature, are far from being completely understood. Here, we propose a mathematical model of vascularized tumour growth, where the main novelty is the modelling of the interplay between functional tumour vasculature and effector cell recruitment dynamics. Parameters are calibrated on the basis of different in vivo immunocompromised Rag1(-/-) and wild-type (WT) BALB/c murine tumour growth experiments. The model analysis supports that tumour vasculature normalization can be a plausible and effective strategy to treat cancer when combined with appropriate immunostimulations. We find that improved levels of functional tumour vasculature, potentially mediated by normalization or stress alleviation strategies, can provide beneficial outcomes in terms of tumour burden reduction and growth control. Normalization of tumour blood vessels opens a therapeutic window of opportunity to augment the antitumour immune responses, as well as to reduce intratumoral immunosuppression and induced hypoxia due to vascular abnormalities. The potential success of normalizing tumour-associated vasculature closely depends on the effector cell recruitment dynamics and tumour sizes. Furthermore, an arbitrary increase in the initial effector cell concentration does not necessarily imply better tumour control. We evidence the existence of an optimal concentration range of effector cells for tumour shrinkage. Based on these findings, we suggest a theory-driven therapeutic proposal that optimally combines immuno- and vasomodulatory interventions.

Indexed as

Models, BiologicalNeoplasms, ExperimentalNeovascularization, PathologicAnimalsMiceMice, Inbred BALB CMice, Knockoutimmunomodulatory interventionsmathematical modellingmurine tumour growth experimentstumour–immune system interactionsvascular normalization

Identifiers

PMID26510827
PMCPMC4685834
OpenAlexW1846159518

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.