{
  "abstract": "Ovarian cancer progression is driven by complex interactions among tumour, immune, stromal, metabolic and angiogenic processes. Although hesperidin exhibits anti-cancer and immunomodulatory activities, its integrated effects on the tumour microenvironment (TME) remain insufficiently understood. This study presents a mechanistic ODE-based framework integrating tumour growth, immune regulation, macrophage polarization, cancer-associated fibroblast (CAF)-mediated extracellular matrix (ECM) remodelling, hypoxia-inducible factor (HIF)−1α/ vascular endothelial growth factor (VEGF)-dependent angiogenesis, glucose–lactate metabolism and redox signalling within a hypothetical ovarian TME centred on PA-1 cells. Simulations across multiple hesperidin concentrations predicted dose-dependent suppression of tumour growth, reduced HIF−1α accumulation, angiogenesis, ECM stiffening and lactate production, accompanied by enhanced anti-tumour immune activity. Local one-at-a-time (OAT) and global Sobol’ sensitivity analyses identified tumour growth kinetics, CAF–ECM interactions, metabolic regulation and selected hesperidin-response parameters as principal determinants of system behaviour. Although not calibrated for quantitative prediction, the proposed framework provides mechanistic insight into how hesperidin-mediated perturbations propagate through interconnected tumour–immune–stromal networks. The model should be regarded as an exploratory, hypothesis-generating platform supporting future experimental validation of hesperidin-mediated mechanisms in ovarian cancer.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Clinical Engineering, Academy of Silesia , Katowice, Poland"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Radosław Dzik",
      "orcid": "0000-0002-6289-7234"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/e9pzgdw6x7dfa.bib",
  "cited_by": 0,
  "doi": "10.1098/rsos.260368",
  "fulltext_url": "https://europepmc.org/articles/PMC13714397",
  "id": "e9pzgdw6x7dfa",
  "issns": [
    "2054-5703"
  ],
  "landing_url": "https://royalsocietypublishing.org/rsos/article/13/10/260368/483916/Mechanistic-ODE-modelling-of-ovarian-tumour",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Biochemistry, Cellular and Molecular biology"
    ],
    [
      "heading",
      "Bioinformatics"
    ],
    [
      "heading",
      "Computational Biology"
    ],
    [
      "heading",
      "Research"
    ],
    [
      "heading",
      "Systems Biology"
    ],
    [
      "openalex",
      "2611|Mathematical Biology Tumor Growth"
    ]
  ],
  "openalex": "W7106262871",
  "pdf_url": "https://royalsocietypublishing.org/rsos/article-pdf/doi/10.1098/rsos.260368/6173869/rsos.260368.pdf",
  "pmcid": "PMC13714397",
  "pmid": "42953043",
  "published": "2026-10-07",
  "publisher": "The Royal Society",
  "ris": "https://research.draconitic.com/paper/e9pzgdw6x7dfa.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:45Z",
      "native_id": "10.1098/rsos.260368",
      "source": "crossref",
      "url": "https://royalsocietypublishing.org/rsos/article/13/10/260368/483916/Mechanistic-ODE-modelling-of-ovarian-tumour"
    },
    {
      "first_seen": "2026-10-31T00:20:40Z",
      "native_id": "MED:42953043",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42953043"
    },
    {
      "first_seen": "2026-11-01T12:21:54Z",
      "native_id": "PMC13714397",
      "source": "pmc",
      "url": "https://doi.org/10.1098/rsos.260368"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "heading:Bioinformatics",
      "subfield": "bioinformatics"
    },
    {
      "field": "biology",
      "origin": "heading:Systems Biology",
      "subfield": "systems-synthetic"
    }
  ],
  "title": "Mechanistic ODE modelling of ovarian tumour microenvironment dynamics under hesperidin exposure",
  "title_text": "Mechanistic ODE modelling of ovarian tumour microenvironment dynamics under hesperidin exposure",
  "type": "peer-reviewed",
  "updated_at": "2026-11-01T12:21:54Z",
  "url": "https://research.draconitic.com/paper/e9pzgdw6x7dfa",
  "venue": "Royal Society Open Science",
  "versions": []
}