Analysis of risk factors for liver metastasis in patients with gastric cancer and construction of prediction model: A multicenter study

• Published in: Discover. Oncology 2024-08, Vol.15 (1), p.363-11
• Main Authors: Yu, Heng, Jiang, Hang, Lu, Xiaofeng, Bai, Chunhua, Song, Peng, Sun, Feng, Ai, Shichao, Yin, Yi, Hu, Qiongyuan, Liu, Song, Chen, Xin, Du, Junfeng, Shen, Xiaofei, Guan, Wenxian
• Format: Article
• Language: English
• Subjects: Antigens; Cancer Research; Cancer therapies; Carbohydrates; Chemotherapy; Gastric cancer; Internal Medicine; Liver; Liver metastases; Medical prognosis; Medicine; Medicine & Public Health; Metastasis; Molecular Medicine; Nomograms; Oncology; Prediction model; Radiotherapy; Risk factors; Surgery; Surgical Oncology; Surgical outcomes
• ISSN: 2730-6011; 2730-6011
• DOI: 10.1007/s12672-024-01246-z

Background To retrospectively analyze the risk factors of liver metastases in patients with gastric cancer in a single center, and to establish a Nomogram prediction model to predict the occurrence of liver metastases. Methods A total of 96 patients with gastric cancer who were also diagnosed with liver metastasis (GCLM) and treated in our center from January 1, 2010 to December 31, 2020 were included. The clinical data of 1095 patients with gastric cancer who were diagnosed without liver metastases (GC) in our hospital from January 1, 2014 to December 31, 2017 were retrospectively compared by univariate and multivariate logistic regression. 309 patients diagnosed with gastric cancer in another medical center from January 1, 2014 to December 31, 2018 were introduced as external validation cohorts. Results Based on the training cohort, multivariate analysis revealed that tumor site (OR = 0.55, P = 0.046), N stage (OR = 4.95, P = 0.004), gender (OR = 0.04, P = 0.001), OPNI (OR = 0.95, P = 0.041), CEA (OR = 1.01, P = 0.018), CA724 (OR = 1.01, P = 0.006), CA242 (OR = 1.01, P = 0.006), WBC (OR = 1.13, P = 0.024), Hb (OR = 0.98, P