{
  "abstract": "Background: This study aimed to evaluate the prognostic significance of the preoperative Prognostic Nutritional Index (PNI) for overall survival (OS) and disease-free survival (DFS) in patients with gastric and gastroesophageal junction adenocarcinoma.\n\nMethods: We retrospectively analyzed the data from 300 patients undergoing curative gastrectomy at Ankara Oncology Training and Research Hospital between January 2013 and 2021. We calculated PNI using the formula: PNI = (10 × serum albumin [g/dL]) + (0.005 × total lymphocyte count). Using receiver operating characteristic (ROC) curve analysis, we determined the optimal PNI cut-off value as 45.83 and subsequently stratified patients into two groups: those with PNI ≥ 45.83 and those with PNI &lt; 45.83. We then evaluated overall survival (OS) and disease-free survival (DFS) using the Kaplan–Meier method.\n\nResults: Our findings showed that patients with PNI &lt; 45.83 had significantly shorter OS and DFS compared to those with PNI ≥ 45.83 (OS: 42 months vs. 90 months; DFS: 39 months vs. 84 months; p &lt; 0.001). The multivariate analysis demonstrated low PNI, advanced T-stage, a higher number of metastatic lymph nodes, and Bormann type 3 tumors to be independent negative prognostic factors for both OS and DFS.\n\nConclusions: Low preoperative PNI was associated with poorer OS and DFS in patients with gastric and gastroesophageal junction adenocarcinoma. PNI may contribute to preoperative risk assessment; however, prospective validation is required before its routine clinical use.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Surgical Oncology, Ankara Etlik City Hospital",
    "Department of Surgical Oncology, University of Health Sciences Ankara Oncology Training and Research Hospital",
    "Department of Anesthesiology and Reanimation, University of Health Sciences Ankara Oncology Training and Research Hospital"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Mehmet Furkan Sağdıç"
    },
    {
      "affs": [
        1
      ],
      "name": "Burak Dinçer"
    },
    {
      "affs": [
        2
      ],
      "name": "Güldeniz Argun"
    },
    {
      "affs": [
        1
      ],
      "name": "Ahmet Karayiğit"
    },
    {
      "affs": [
        1
      ],
      "name": "Cihangir Özaslan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1te7kvqzsgnx6.bib",
  "cited_by": 0,
  "doi": "10.3389/fonc.2026.1872975",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13735579/",
  "id": "1te7kvqzsgnx6",
  "issns": [
    "2234-943X"
  ],
  "landing_url": "https://www.frontiersin.org/articles/10.3389/fonc.2026.1872975/full",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Original Research"
    ],
    [
      "openalex",
      "2730|Inflammatory Biomarkers in Disease Prognosis"
    ]
  ],
  "openalex": "W7223187214",
  "pdf_url": "https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2026.1872975/pdf",
  "pmcid": "PMC13735579",
  "pmid": "42991252",
  "published": "2026-10-22",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/1te7kvqzsgnx6.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:13Z",
      "native_id": "10.3389/fonc.2026.1872975",
      "source": "crossref",
      "url": "https://www.frontiersin.org/articles/10.3389/fonc.2026.1872975/full"
    },
    {
      "first_seen": "2026-11-09T12:21:14Z",
      "native_id": "PMC13735579",
      "source": "pmc",
      "url": "https://doi.org/10.3389/fonc.2026.1872975"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2730|Inflammatory Biomarkers in Disease Prognosis",
      "subfield": "oncology"
    }
  ],
  "title": "Can the prognostic nutritional index predict survival in patients with gastric and esophagogastric junction adenocarcinoma?",
  "title_text": "Can the prognostic nutritional index predict survival in patients with gastric and esophagogastric junction adenocarcinoma?",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:21:14Z",
  "url": "https://research.draconitic.com/paper/1te7kvqzsgnx6",
  "venue": "Frontiers in Oncology",
  "versions": []
}