Evidence map›Paper›PMID 29226860›Full record

ReviewIn silico biology2019

A hybrid multiscale model for investigating tumor angiogenesis and its response to cell-based therapy.

Melisa Hendrata, Janti Sudiono

Open access · bronzeAbstract readReview
In one paragraph

Review in In silico biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Hybrid modeling frameworks of tumor development and treatment.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  4. Review
  5. Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation.Medical science monitor : international medical journal of experimental and clinical research · 2019
    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

2 authors at 2 institutions in 2 countries.

Melisa HendrataDepartment of Mathematics, California StateUniversity, Los Angeles, CA, USA.
Janti SudionoDepartment of Oral Pathology, Faculty of Dentistry, Trisakti University, Jakarta, Indonesia.
California State University Los Angeles · USUniversitas Trisakti · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiogenesis, a formation of blood vessels from an existing vasculature, plays a key role in tumor growth and its progression into cancer. The lining of blood vessels consists of endothelial cells (ECs) which proliferate and migrate, allowing the capillaries to sprout towards the tumor to deliver the needed oxygen. Various treatments aiming to suppress or even inhibit angiogenesis have been explored. Mesenchymal stem cells (MSCs) have recently been undergoing development in cell-based therapy for cancer due to their ability to migrate towards the capillaries and induce the apoptosis of the ECs, causing capillary degeneration. However, further investigations in this direction are needed as it is usually difficult to preclinically assess the efficacy of such therapy. We develop a hybrid multiscale model that integrates molecular, cellular, tissue and extracellular components of tumor system to investigate angiogenesis and tumor growth under MSC-mediated therapy. Our simulations produce angiogenesis and vascular tumor growth profiles as observed in the experiments. Furthermore, the simulations show that the effectiveness of MSCs in inducing EC apoptosis is density dependent and its full effect is reached within several days after MSCs application. Quantitative agreements with experimental data indicate the predictive potential of our model for evaluating the efficacy of cell-based therapies targeting angiogenesis.

Indexed as

Cell- and Tissue-Based TherapyModels, BiologicalAlgorithmsAnimalsApoptosisCell DifferentiationCells, CulturedComputer SimulationEndothelial CellsHumansMesenchymal Stem CellsMesenchymal Stem Cell TransplantationNeoplasmsNeovascularization, PathologicPhenotypeSignal Transductionangiogenesisapoptosiscell-based therapyMultiscale modelnumerical simulation

Identifiers

PMID29226860
PMCPMC6597970
OpenAlexW2772456242

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.