{
  "abstract": "The fibroblast growth factor (FGF)/FGF receptor (FGFR) signaling pathway is essential for maintaining physiological homeostasis, and its dysregulation is implicated in the pathogenesis of numerous diseases. FGF-binding proteins (FGFBPs) constitute a family of secreted proteins that modulate the bioavailability of FGF ligands, thereby fine-tuning FGF signaling output in a context-specific manner. Emerging evidence indicates that FGFBPs regulate diverse physiological processes, including embryonic development, tissue repair, and metabolic homeostasis, while dysregulation of these members is closely associated with various diseases, particularly malignancies. Nevertheless, their precise functional roles in physiological homeostasis and oncogenesis, as well as the underlying molecular mechanisms governing these functions, remain incompletely characterized. This review systematically summarizes the physiological functions of FGFBPs, with a focused analysis of their context-dependent roles in diverse types of cancer. We further discuss their emerging potential as prognostic biomarkers and therapeutic implications. A deeper mechanistic understanding of FGFBPs is expected to advance insights into the molecular underpinnings of both physiological homeostasis and tumorigenesis, thereby informing the rational development of novel diagnostic biomarkers and precise therapeutic intervention strategies.",
  "abstract_shown": true,
  "affiliations": [
    "Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030 China",
    "Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030 China",
    "Key Laboratory of Chongqing Education Commission of China for Cancer Immunometabolism Translational Research, Chongqing, 400030 China",
    "Basic Research and Innovation Center for Intelligent Oncology, Ministry of Education, Chongqing, 400030 China"
  ],
  "article_type": "review article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jie Xia"
    },
    {
      "affs": [
        0
      ],
      "name": "Yang Xiao"
    },
    {
      "affs": [
        0,
        1,
        2,
        3
      ],
      "name": "Yongsheng Li"
    },
    {
      "affs": [
        0,
        1,
        2,
        3
      ],
      "name": "Huakan Zhao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5xm88xp85vwtr.bib",
  "cited_by": 0,
  "doi": "10.1186/s40364-026-01038-3",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13732962/",
  "id": "5xm88xp85vwtr",
  "issns": [
    "2050-7771"
  ],
  "landing_url": "https://doi.org/10.1186/s40364-026-01038-3",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Review"
    ],
    [
      "openalex",
      "1312|Fibroblast Growth Factor Research"
    ]
  ],
  "openalex": "W7225200908",
  "pdf_url": "https://link.springer.com/content/pdf/10.1186/s40364-026-01038-3.pdf",
  "pmcid": "PMC13732962",
  "pmid": "42977970",
  "published": "2026-11-03",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/5xm88xp85vwtr.ris",
  "sources": [
    {
      "first_seen": "2026-11-08T12:22:51Z",
      "native_id": "PMC13732962",
      "source": "pmc",
      "url": "https://doi.org/10.1186/s40364-026-01038-3"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "openalex:1312|Fibroblast Growth Factor Research",
      "subfield": "molecular-biology"
    }
  ],
  "title": "FGFBPs in health and tumors: emerging prognostic biomarkers and therapeutic implications",
  "title_text": "FGFBPs in health and tumors: emerging prognostic biomarkers and therapeutic implications",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T12:22:51Z",
  "url": "https://research.draconitic.com/paper/5xm88xp85vwtr",
  "venue": "Biomarker Research",
  "versions": []
}