Evidence map›Paper›PMID 41111351›Full record

ArticleCancer science2026

Novel Methylation-Based Model for Accurate Diagnosis of Upper Mediastinal Lymph Node Metastasis in Esophagogastric Junction Adenocarcinoma.

Yudai Higuchi, Katsutoshi Shoda, Suguru Maruyama, Yoshihiko Kawaguchi, Takaomi Ozawa, Hiroto Tanaka, Takashi Nakayama, Koichi Matsuoka, Ryo Saito, Wataru Izumo and 5 more

Abstract read
In one paragraph

Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Yudai HiguchiFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.ORCID https://orcid.org/0009-0009-7453-0630
Katsutoshi ShodaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Suguru MaruyamaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Yoshihiko KawaguchiFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Takaomi OzawaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Hiroto TanakaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.ORCID https://orcid.org/0009-0003-8763-0872
Takashi NakayamaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.ORCID https://orcid.org/0000-0002-8691-4414
Koichi MatsuokaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Ryo SaitoFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Wataru IzumoFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Koichi TakiguchiFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Kensuke ShiraishiFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Shinji FuruyaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Hidetake AmemiyaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.
Daisuke IchikawaFirst Department of Surgery, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even after surgical resection, the prognosis is poor for patients with esophagogastric junction adenocarcinoma who develop upper mediastinal lymph node metastasis. Moreover, the current preoperative diagnostic accuracy for upper mediastinal lymph node metastasis remains inadequate, which complicates treatment planning. To enhance diagnostic precision and facilitate personalized therapeutic strategies, we aimed to develop a novel diagnostic model that integrates a DNA methylation panel with conventional clinical parameters. First, genome-wide methylation profiling of 69 tumors identified seven CpG sites significantly associated with upper mediastinal lymph node involvement. We then evaluated a methylation panel based on these markers in two independent cohorts comprising a total of 133 treatment-naïve patients. The methylation panel alone achieved moderate diagnostic performance (AUC 0.71, 95% CI 0.52-0.91), whereas its integration with clinical data substantially improved accuracy (training cohort: AUC 0.87, 95% CI 0.75-0.99). Applying the same model formula to an independent pretreatment validation cohort confirmed its robustness (AUC 0.85, 95% CI 0.70-1.00). Furthermore, the methylation panel was identified as an independent prognostic factor for overall survival (p < 0.01). Finally, to facilitate clinical implementation, the integrated model was formalized as a nomogram. In summary, this novel diagnostic model enables highly accurate detection of upper mediastinal lymph node metastasis in esophagogastric junction adenocarcinoma, with the potential to optimize treatment decisions and reduce the need for invasive procedures, thereby contributing to precision oncology.

Indexed as

AdenocarcinomaDNA MethylationEsophageal NeoplasmsEsophagogastric JunctionLymphatic MetastasisStomach NeoplasmsAgedBiomarkers, TumorCpG IslandsFemaleHumansLymph NodesMaleMediastinumMiddle AgedNomogramsBiomarkers, TumorbiomarkersDNA methylationesophagogastric junctionlymphatic metastasisneoplasms

Identifiers

PMID41111351
PMCPMC12775572

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.