Evidence map›Paper›PMID 23800293›Full record

ArticleTheoretical biology & medical modelling2013

Multi-scale agent-based modeling on melanoma and its related angiogenesis analysis.

Jun Wang, Le Zhang, Chenyang Jing, Gang Ye, Hulin Wu, Hongyu Miao, Yukun Wu, Xiaobo Zhou

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Integration of transcriptomics data into agent-based models of solid tumor metastasis.Computational and structural biotechnology journal · 2023
    Article
  3. Article
  4. Article
  5. Computational models of melanoma.Theoretical biology & medical modelling · 2020
    Review
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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

8 authors at 5 institutions in 2 countries.

Jun WangCollege of Computer and Information Science, Southwest University, Chongqing 400715, China.
Le Zhang
Chenyang Jing
Gang Ye
Hulin Wu
Hongyu Miao
Yukun Wu
Xiaobo Zhou
Southwest University · CNUniversity of Rochester · USArmy Medical University · CNUniversity of Maryland, Baltimore · USWake Forest University · US

Funding

Virology/Immunology CoreP30AI078498 · NIAID · UNIVERSITY OF ROCHESTER · PI DEWHURST, STEPHEN · 2008 to 2018
$14.6M
Modelling the Growth of the MIC Niche at the System LevelU01CA166886 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO · 2012 to 2016
$2.2M
NCI NIH HHS U01 CA166886-01NIAID NIH HHS P30AI078498PHS HHS HHSN272201000055C
6 · The paper itself

Abstract

backgroundRecently, melanoma has become the most malignant and commonly occurring skin cancer. Melanoma is not only the major source (75%) of deaths related to skin cancer, but also it is hard to be treated by the conventional drugs. Recent research indicated that angiogenesis is an important factor for tumor initiation, expansion, and response to therapy. Thus, we proposed a novel multi-scale agent-based computational model that integrates the angiogenesis into tumor growth to study the response of melanoma cancer under combined drug treatment.

resultsOur multi-scale agent-based model can simulate the melanoma tumor growth with angiogenesis under combined drug treatment. The significant synergistic effects between drug Dox and drug Sunitinib demonstrated the clinical potential to interrupt the communication between melanoma cells and its related vasculatures. Also, the sensitivity analysis of the model revealed that diffusivity related to the micro-vasculatures around tumor tissues closely correlated with the spread, oscillation and destruction of the tumor.

conclusionsSimulation results showed that the 3D model can represent key features of melanoma growth, angiogenesis, and its related micro-environment. The model can help cancer researchers understand the melanoma developmental mechanism. Drug synergism analysis suggested that interrupting the communications between melanoma cells and the related vasculatures can significantly increase the drug efficacy against tumor cells.

Indexed as

Models, TheoreticalApoptosisHumansMelanomaSkin Neoplasms

Identifiers

PMID23800293
PMCPMC3694033
OpenAlexW2099703086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.