{
  "abstract": "Background Ferroptosis is an iron-dependent regulated cell death process increasingly recognized as a modulator of tumor progression and antitumor immunity. However, the role of ferroptosis-related long non-coding RNAs (lncRNAs) in shaping the immune microenvironment of laryngeal squamous cell carcinoma (LSCC) remains unclear. Methods TCGA transcriptomic and clinical data were analyzed to identify ferroptosis-related lncRNAs (FRLs) through co-expression analysis. A prognostic signature was constructed using a predefined LASSO Cox-based modelling strategy followed by multivariate Cox regression. Survival performance was evaluated by Kaplan-Meier analysis, time-dependent ROC curves, calibration analysis, and the concordance index (C-index). Tumor immune infiltration was assessed using ssGSEA and ESTIMATE algorithms, and associations with immune checkpoint expression were examined. Results A four-lncRNA ferroptosis-related signature stratified LSCC patients into prognostically distinct groups and remained an independent predictor of overall survival in the TCGA-derived cohort. High-risk tumors exhibited reduced infiltration of activated CD8 + T cells, NK cells, and dendritic cells, along with enrichment of MDSCs. The risk score showed a weak-to-moderate negative correlation with PD-L1 expression and was associated with reduced adaptive immune signatures, suggesting an immune-cold phenotype that requires further experimental validation. Conclusions This study identifies a ferroptosis-related lncRNA signature associated with survival and immune microenvironment features in LSCC. These findings provide a hypothesis-generating framework for future experimental and clinical studies integrating ferroptosis-related biomarkers with immunotherapy research.",
  "abstract_shown": true,
  "affiliations": [
    "Zhangzhou Affiliated Hospital of Fujian medical University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Haibo Xu"
    },
    {
      "affs": [
        0
      ],
      "name": "Meiling Xu"
    },
    {
      "affs": [
        0
      ],
      "name": "Huijie Weng"
    },
    {
      "affs": [
        0
      ],
      "name": "Zhiwei Zhao"
    },
    {
      "affs": [
        0
      ],
      "name": "Yibin Zhou"
    },
    {
      "affs": [
        0
      ],
      "name": "Guifen Cai"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3myk8cj8696bk.bib",
  "cited_by": 0,
  "doi": "10.1007/s12672-026-05647-0",
  "fulltext_url": "https://doi.org/10.1007/s12672-026-05647-0",
  "id": "3myk8cj8696bk",
  "issns": [
    "2730-6011"
  ],
  "landing_url": "https://doi.org/10.1007/s12672-026-05647-0",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "RC254-282"
    ],
    [
      "openalex",
      "2740|Ferroptosis and cancer prognosis"
    ]
  ],
  "openalex": "W7171396575",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Springer",
  "ris": "https://research.draconitic.com/paper/3myk8cj8696bk.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:46:06Z",
      "native_id": "e39f3b39c4ab44929853bc7b3d34edb1",
      "source": "doaj",
      "url": "https://doi.org/10.1007/s12672-026-05647-0"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:RC254-282",
      "subfield": "oncology"
    }
  ],
  "title": "Ferroptosis-related lncRNA signature predicts prognosis and immune microenvironment remodeling in laryngeal squamous cell carcinoma",
  "title_text": "Ferroptosis-related lncRNA signature predicts prognosis and immune microenvironment remodeling in laryngeal squamous cell carcinoma",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:46:06Z",
  "url": "https://research.draconitic.com/paper/3myk8cj8696bk",
  "venue": "Discover Oncology",
  "versions": []
}