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ORIGINAL RESEARCH article

Front. Oncol.

Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1547462

Development and validation of a prognostic model for patients with cT1-4N1-3M1 esophageal squamous cell carcinoma: based on the SEER database and the Chinese cohort study

Provisionally accepted
Xiao-Mei Wang Xiao-Mei Wang Can-Tong Liu Can-Tong Liu Jia-Tao Huang Jia-Tao Huang Zhi-Han Zhang Zhi-Han Zhang Yi-Wei Xu Yi-Wei Xu *Fang-Cai Wu Fang-Cai Wu *Yu-Hui Peng Yu-Hui Peng *
  • Cancer Hospital, College of Medicine, Shantou University, Shantou, China

The final, formatted version of the article will be published soon.

    The purpose of this study was to investigate the impact of clinicopathological factors on the overall survival (OS) of advanced esophageal squamous cell carcinoma (ESCC) patients with both lymph node and distant metastasis and build a nomogram for OS prediction.: We selected 621 ESCC patients with cT1-4N1-3M1 stage without surgical treatment from the Surveillance, Epidemiology, and End Results (SEER) database and randomized (in a 7:3 ratio) to the training cohort and internal validation cohort. Another 159 patients were enrolled from the Cancer Hospital of Shantou University Medical College as the external validation cohort. A nomogram was developed based on independent risk factors that resulted from a multivariate Cox regression analysis.Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used to evaluate the discriminative ability and calibration curves were constructed to evaluate the calibration ability. Kaplan-Meier survival analysis and log-rank tests were then used to predict the further OS status of these patients.The multivariate Cox regression analysis revealed that sex, T stage, radiotherapy, and chemotherapy were independent prognostic factors for ESCC patients with cT1-4N1-3M1 stage. All these factors were incorporated to construct a nomogram. The prognostic nomogram in training cohort exhibited the AUCs of 0.784, 0.746, and 0.735 for predicting 6-, 9-, and 12-month OS, respectively. Calibration curves exhibited that the nomogram-predicted OS were insistent with the actual OS. In validation cohorts, the nomogram still showed acceptable discrimination ability and calibration. All individuals were allocated into high-risk versus low-risk groups based on the median risk score of the training cohort. The OS of the high-risk group was shorter than that of the low-risk group in three cohorts.We developed and validated an individualized survival prediction nomogram for predicting OS in ESCC patients with cT1-4N1-3M1 stage, which may help clinicians to assess the situation of advanced ESCC patients and implement further treatment.

    Keywords: ESCC, SEER, overall survival, nomogram, cT1-4N1-3M1

    Received: 18 Dec 2024; Accepted: 04 Apr 2025.

    Copyright: © 2025 Wang, Liu, Huang, Zhang, Xu, Wu and Peng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yi-Wei Xu, Cancer Hospital, College of Medicine, Shantou University, Shantou, China
    Fang-Cai Wu, Cancer Hospital, College of Medicine, Shantou University, Shantou, China
    Yu-Hui Peng, Cancer Hospital, College of Medicine, Shantou University, Shantou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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