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Article

Prognostic Value of a Serological-Based Clinical Model for Gastric Cancer Patients

1
Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu 610041 China
2
Gastric Cancer Center, Laboratory of Gastric Cancer, Department of General Surgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
3
Medical Insurance Office, West China Hospital, Sichuan University, Chengdu 610041, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Clin. Med. 2025, 14(12), 4043; https://doi.org/10.3390/jcm14124043 (registering DOI)
Submission received: 25 April 2025 / Revised: 3 June 2025 / Accepted: 5 June 2025 / Published: 7 June 2025
(This article belongs to the Section Gastroenterology & Hepatopancreatobiliary Medicine)

Abstract

Background:Surgery remains the cornerstone of diagnosis and treatment for gastric cancer. This study aims to develop and validate a serology-based clinical scoring system to predict and evaluate the prognosis of gastric cancer patients. Methods: Clinicopathological data of primary gastric cancer patients who underwent surgical treatment from 2009 to 2018 were collected and divided into training and validation cohorts. Preoperative serological indicators were screened, and a serum risk score (SerScore) was developed using LASSO-Cox analysis. Prognosis prediction models incorporating the SerScore were established and validated. Results: A total of 5493 patients were screened, and 43 serological indicators were assessed. Twelve serological indicators were selected to construct the SerScore. Patients with a SerScore below the cut-off value of −1.73 had significantly better survival rates compared to those with higher scores. Multivariate Cox analysis identified SerScore, age, tumor location, T stage, and N stage as independent prognostic factors for overall survival in the training cohort. A multivariate nomogram was developed, achieving a C-index of 0.745 in the training cohort and 0.750 in the validation cohort. The nomogram demonstrated superior predictive accuracy compared to the SerScore alone, with AUC values of 0.783 versus 0.639 in the training cohort and 0.805 versus 0.657 in the validation cohort. Calibration curves closely aligned with ideal predictions in both cohorts. Conclusions: The SerScore model provides an effective tool for prognostic assessment in primary gastric cancer patients. This model not only enhances prognostic evaluation but also establishes a foundation for developing advanced prediction tools for gastric cancer.
Keywords: gastric cancer; serological indicators; prediction model; prognosis gastric cancer; serological indicators; prediction model; prognosis

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MDPI and ACS Style

Feng, H.-H.; Zhang, W.-H.; Liu, K.; Chen, X.-L.; Zhao, L.-Y.; Chen, X.-Z.; Yang, K.; Hu, J.-K. Prognostic Value of a Serological-Based Clinical Model for Gastric Cancer Patients. J. Clin. Med. 2025, 14, 4043. https://doi.org/10.3390/jcm14124043

AMA Style

Feng H-H, Zhang W-H, Liu K, Chen X-L, Zhao L-Y, Chen X-Z, Yang K, Hu J-K. Prognostic Value of a Serological-Based Clinical Model for Gastric Cancer Patients. Journal of Clinical Medicine. 2025; 14(12):4043. https://doi.org/10.3390/jcm14124043

Chicago/Turabian Style

Feng, Hai-Huan, Wei-Han Zhang, Kai Liu, Xiao-Long Chen, Lin-Yong Zhao, Xin-Zu Chen, Kun Yang, and Jian-Kun Hu. 2025. "Prognostic Value of a Serological-Based Clinical Model for Gastric Cancer Patients" Journal of Clinical Medicine 14, no. 12: 4043. https://doi.org/10.3390/jcm14124043

APA Style

Feng, H.-H., Zhang, W.-H., Liu, K., Chen, X.-L., Zhao, L.-Y., Chen, X.-Z., Yang, K., & Hu, J.-K. (2025). Prognostic Value of a Serological-Based Clinical Model for Gastric Cancer Patients. Journal of Clinical Medicine, 14(12), 4043. https://doi.org/10.3390/jcm14124043

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