{
  "abstract": "Immune checkpoint inhibitors (ICIs) improve cancer outcomes but can cause immune-related adverse events (irAEs) that compromise treatment. Using FAERS real-world data, we developed a two-layer network algorithm to identify irAE-associated lncRNAs (irAEsLncs) across 18 cancer types. The irAEsLnc network showed organ-specific patterns and cancer-specific irAE susceptibility, while irAEsLncs were associated with immune infiltration, inflammatory responses, immune activation, and checkpoint molecules. Single-cell analysis of ICI-induced colitis linked irAEsLncs to inflammatory macrophage and T cell states and metabolic reprogramming. irAEsLnc-derived signatures independently predicted prognosis and responses to targeted therapy and immunotherapy, with ALAL-1/CD80/MEF2C predicting ICI efficacy in lung adenocarcinoma. Knockdown of ALAL-1 and SEC61G-DT suppressed tumor cell proliferation, migration, invasion, and macrophage-mediated inflammation. These findings connect irAE-associated lncRNAs with toxicity and antitumor immunity and support their potential as biomarkers for treatment stratification.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Article",
  "arxiv": null,
  "author_total": 12,
  "authors": [
    {
      "name": "Longlong Dong"
    },
    {
      "name": "Lei Zhang"
    },
    {
      "name": "Lei Song"
    },
    {
      "name": "Changfan Qu"
    },
    {
      "name": "Xinyu Wang"
    },
    {
      "name": "Song Xiao"
    },
    {
      "name": "Miaomiao Tian"
    },
    {
      "name": "Peng Wang"
    },
    {
      "name": "Hui Zhi"
    },
    {
      "name": "Yanbin Zhao"
    },
    {
      "name": "Shangwei Ning"
    },
    {
      "name": "Yue Gao",
      "orcid": "0000-0003-0403-6783"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4tjxjwa0wkzps.bib",
  "cited_by": 0,
  "doi": "10.1016/j.isci.2026.118063",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13733469/",
  "id": "4tjxjwa0wkzps",
  "issns": [
    "2589-0042"
  ],
  "landing_url": "https://www.cell.com/iscience/fulltext/S2589-0042(26)03446-2",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Article"
    ],
    [
      "heading",
      "Biological sciences"
    ],
    [
      "heading",
      "Cancer"
    ],
    [
      "heading",
      "Immunology"
    ],
    [
      "heading",
      "Transcriptomics"
    ],
    [
      "openalex",
      "2730|Cancer Immunotherapy and Biomarkers"
    ]
  ],
  "openalex": "W7224080535",
  "pdf_url": null,
  "pmcid": "PMC13733469",
  "pmid": "42985639",
  "published": "2026-10-28",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/4tjxjwa0wkzps.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:16Z",
      "native_id": "10.1016/j.isci.2026.118063",
      "source": "feed-cell",
      "url": "https://www.cell.com/iscience/fulltext/S2589-0042(26)03446-2"
    },
    {
      "first_seen": "2026-10-30T12:17:49Z",
      "native_id": "10.1016/j.isci.2026.118063",
      "source": "crossref",
      "url": "https://linkinghub.elsevier.com/retrieve/pii/S2589004226034462"
    },
    {
      "first_seen": "2026-11-08T12:23:14Z",
      "native_id": "PMC13733469",
      "source": "pmc",
      "url": "https://doi.org/10.1016/j.isci.2026.118063"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "heading:Immunology",
      "subfield": "immunology"
    },
    {
      "field": "medicine",
      "origin": "heading:Cancer",
      "subfield": "oncology"
    }
  ],
  "title": "Long non-coding RNA prompts immune-related adverse events risk and immunotherapy response in pan-cancer",
  "title_text": "Long non-coding RNA prompts immune-related adverse events risk and immunotherapy response in pan-cancer",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T12:23:14Z",
  "url": "https://research.draconitic.com/paper/4tjxjwa0wkzps",
  "venue": "iScience",
  "versions": []
}