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Spatial stochastic computer model of cancer invasion in the tumor microenvironment: the Warburg effect.

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Title: Spatial stochastic computer model of cancer invasion in the tumor microenvironment: the Warburg effect.
Authors: Neto, Maria1 (AUTHOR), Zhang, William1 (AUTHOR), Tiwary, Surabhi1 (AUTHOR), Nicolau Jr, Dan V.1 (AUTHOR) dan.nicolau@kcl.ac.uk
Source: International Journal of Parallel, Emergent & Distributed Systems. Aug2025, Vol. 40 Issue 4, p446-479. 34p.
Subjects: Warburg Effect (Oncology), Metabolism, Reaction-diffusion equations, Oncology, Metastasis, Metabolic models, Tumor microenvironment
Abstract: The Warburg effect, marked by elevated glucose uptake and aerobic glycolysis, drives metabolic heterogeneity in tumors, yet spatial organization of tumor cells remains poorly understood. In this study, we applied the Gray-Scott reaction-diffusion model to simulate metabolic pattern formation using two computational models. Despite added variability from introduced plasticity, initial diffusion states consistently shaped pattern emergence. Adjusting influx and depletion rates generated a range of intratumoral patterns, mirroring biological complexity. These findings emphasize the role of metabolism in tumor architecture and support phenotype-based treatment strategies. Future work will extend the model to include metastatic and temporal dynamics, informing precision oncology. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Parallel, Emergent & Distributed Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 187023039
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Spatial stochastic computer model of cancer invasion in the tumor microenvironment: the Warburg effect.
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  Data: <searchLink fieldCode="AR" term="%22Neto%2C+Maria%22">Neto, Maria</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+William%22">Zhang, William</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tiwary%2C+Surabhi%22">Tiwary, Surabhi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nicolau+Jr%2C+Dan+V%2E%22">Nicolau Jr, Dan V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dan.nicolau@kcl.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Parallel%2C+Emergent+%26+Distributed+Systems%22">International Journal of Parallel, Emergent & Distributed Systems</searchLink>. Aug2025, Vol. 40 Issue 4, p446-479. 34p.
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  Data: <searchLink fieldCode="DE" term="%22Warburg+Effect+%28Oncology%29%22">Warburg Effect (Oncology)</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolism%22">Metabolism</searchLink><br /><searchLink fieldCode="DE" term="%22Reaction-diffusion+equations%22">Reaction-diffusion equations</searchLink><br /><searchLink fieldCode="DE" term="%22Oncology%22">Oncology</searchLink><br /><searchLink fieldCode="DE" term="%22Metastasis%22">Metastasis</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolic+models%22">Metabolic models</searchLink><br /><searchLink fieldCode="DE" term="%22Tumor+microenvironment%22">Tumor microenvironment</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Warburg effect, marked by elevated glucose uptake and aerobic glycolysis, drives metabolic heterogeneity in tumors, yet spatial organization of tumor cells remains poorly understood. In this study, we applied the Gray-Scott reaction-diffusion model to simulate metabolic pattern formation using two computational models. Despite added variability from introduced plasticity, initial diffusion states consistently shaped pattern emergence. Adjusting influx and depletion rates generated a range of intratumoral patterns, mirroring biological complexity. These findings emphasize the role of metabolism in tumor architecture and support phenotype-based treatment strategies. Future work will extend the model to include metastatic and temporal dynamics, informing precision oncology. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Parallel, Emergent & Distributed Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/17445760.2025.2508164
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 34
        StartPage: 446
    Subjects:
      – SubjectFull: Warburg Effect (Oncology)
        Type: general
      – SubjectFull: Metabolism
        Type: general
      – SubjectFull: Reaction-diffusion equations
        Type: general
      – SubjectFull: Oncology
        Type: general
      – SubjectFull: Metastasis
        Type: general
      – SubjectFull: Metabolic models
        Type: general
      – SubjectFull: Tumor microenvironment
        Type: general
    Titles:
      – TitleFull: Spatial stochastic computer model of cancer invasion in the tumor microenvironment: the Warburg effect.
        Type: main
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            NameFull: Neto, Maria
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            NameFull: Zhang, William
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            NameFull: Tiwary, Surabhi
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          Name:
            NameFull: Nicolau Jr, Dan V.
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          Dates:
            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 17445760
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              Value: 40
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              Value: 4
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            – TitleFull: International Journal of Parallel, Emergent & Distributed Systems
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