Hu XZ, Huang DB, Ni WP, Qian XX. Construction of a diagnostic nomogram model for lymph node metastasis in gastric cancer based on human cartilage glycoprotein-39, carbohydrate antigen 50, and serum ferritin.
Shijie Huaren Xiaohua Zazhi 2024;
32:774-781. [DOI:
10.11569/wcjd.v32.i10.774]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 09/09/2024] [Accepted: 09/30/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND
Currently, the diagnostic efficacy of imaging techniques and traditional tumor markers for lymph node metastasis in gastric cancer is limited, necessitating the exploration of more innovative and non-invasive serological markers.
AIM
To construct a diagnostic model for lymph node metastasis in gastric cancer based on human cartilage glycoprotein-39 (YKL-40), carbohydrate antigen 50 (CA50), and serum ferritin (SF).
METHODS
A retrospective analysis was conducted on the clinical data of 120 gastric cancer patients admitted to Pan'an County People's Hospital from January 2020 to December 2023. The patients were divided into a metastatic group and a non-metastatic group based on postoperative pathological results. Clinical data, serum YKL-40, CA50, and SF were compared between the two groups. Lasso Logistic regression equation was used to screen for factors affecting gastric cancer lymph node metastasis. R software was used to construct a diagnostic nomogram model, and receiver operating characteristic curve, area under the curve (AUC), calibration curve, and decision curve analyses were performed to evaluate whether YKL-40 and CA50 were included or not, as well as the discrimination, calibration, and clinical net benefit of the nomogram model.
RESULTS
Pathological examination results showed that the incidence of lymph node metastasis in 120 cases of gastric cancer was 25.77%. The Lasso-Logistic regression equation showed that YKL-40 (odds ratio [OR]: 2.190), CA50 (OR: 3.173), SF (OR: 3.879), vascular invasion (OR: 3.039), TNM stage (OR: 4.854), and extent of lymph node dissection (OR: 3.855) were influencing factors of lymph node metastasis in gastric cancer (P < 0.05). Based on these influencing factors, a diagnostic nomogram model was drawn, with an AUC of 0.880 (95% confidence interval: 0.811-0.949). The calibration curve roughly coincided with the 45° reference line, providing additional clinical benefit within the range of 25% to 75%.
CONCLUSION
The diagnostic nomogram model based on YKL-40, CA50, and SF shows good performance in diagnosing lymph node metastasis in gastric cancer, which is helpful in guiding clinical diagnosis and treatment, and improving disease outcomes.
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