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Clinical characterization and prognostic modeling of second primary malignancies following gastric adenocarcinoma: a SEER database-based study
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Hongbin WANG1, Wei HE1, Yifei CHEN2, Kun MA3, Linsong MU4, Zhongchuan LYU4, Zhongliang MA1
Journal of Army Medical University | 2025, 47(23) : 2979 - 2990
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Journal of Army Medical University | 2025, 47(23): 2979-2990
• Clinical Medicine •
Clinical characterization and prognostic modeling of second primary malignancies following gastric adenocarcinoma: a SEER database-based study
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Hongbin WANG1, Wei HE1, Yifei CHEN2, Kun MA3, Linsong MU4, Zhongchuan LYU4, Zhongliang MA1
Affiliations
  • 1Department of Breast surgery,The Affiliated Hospital of Qingdao University,Qingdao,Shandong
  • 2School of The First Clinical Medicine,Qingdao University,Qingdao,Shandong
  • 3School of Clinical Medicine,Binzhou Medical College,Yantai,Shandong
  • 4Department of General Surgery,Yantai Yuhuanding Hospital,Yantai,Shandong,China
Published: 2025-12-15 doi: 10.16016/j.2097-0927.202503071
Outline
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Objective

To analyze clinical characteristics affecting survival outcomes in gastric adenocarcinoma (GAC) patients with second primary malignancies (SPM) and construct a predictive model with a web-based calculator.

Methods

Patients diagnosed with GAC between January 2010 and December 2017 in the SEER database (n=24 085) were analyzed, comparing non-SPM (n=22 963) and SPM cohorts (n=1 122). SPM patients were randomized (3:1) into training (n=842) and internal validation cohorts (n=280). Univariate/multivariate Cox regression identified prognostic factors for model construction. Model performance was evaluated via ROC curves, calibration plots, and decision curve analysis (DCA). A web-based calculator was deployed using DynNom (https://kunma697.shinyapps.io/dynnomapp-1/). External validation used 192 SPM patients diagnosed at Yantai Yuhuangding Hospital (2010-2017).

Results

χ² tests revealed SPM patients had higher age (56.3%), earlier T-stage (T1:29.2%; T2:10.5%), predominant gastric cardia involvement (43.7%), fewer distant metastases (12.3%), and higher rates of radiotherapy (32.5%) and surgery (77.2%) vs. non-SPM (P<0.05). Cox analyses identified GAC primary site, T-stage, SEER stage, radiotherapy/surgery history, plus SPM grade/stage/treatment history as significant predictors (P<0.05). AUCs in the training cohort were 0.771 (95%CI:0.722~0.820), 0.839 (95%CI:0.796~0.882), and 0.836 (95%CI: 0.792~0.879) for 1-/3-/5-year survival; internal validation showed 0.751 (95%CI: 0.700~0.801), 0.746 (95%CI: 0.695~0.797), and 0.772 (95%CI: 0.723~0.821); external validation yielded 0.713 (95%CI: 0.648~0.778), 0.805 (95%CI: 0.749~0.861), and 0.851 (95%CI: 0.801~0.901). Calibration indicated high prediction-actuality concordance; DCA confirmed clinical utility.

Conclusion

The model and web calculator incorporating GAC/SPM characteristics effectively predict SPM patient prognosis.

stomach neoplasms  /  second primary neoplasms  /  Surveillance,Epidemiology,and End Results Program  /  prognostic model
王鸿彬, 贺薇, 陈逸菲, 马坤, 穆林松, 吕忠船, 马中良. 胃腺癌继发第二原发性恶性肿瘤临床特征分析及预后模型建立. 陆军军医大学学报, 2025 , 47 (23) : 2979 -2990 . DOI: 10.16016/j.2097-0927.202503071
Hongbin WANG, Wei HE, Yifei CHEN, Kun MA, Linsong MU, Zhongchuan LYU, Zhongliang MA. Clinical characterization and prognostic modeling of second primary malignancies following gastric adenocarcinoma: a SEER database-based study[J]. Journal of Army Medical University, 2025 , 47 (23) : 2979 -2990 . DOI: 10.16016/j.2097-0927.202503071
Year 2025 volume 47 Issue 23
23
9
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Article Info
doi: 10.16016/j.2097-0927.202503071
  • Receive Date:2025-03-24
  • Online Date:2026-10-30
  • Published:2025-12-15
Article Data
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History
  • Received:2025-03-24
  • Revised:2025-11-23
Affiliations
    1Department of Breast surgery,The Affiliated Hospital of Qingdao University,Qingdao,Shandong
    2School of The First Clinical Medicine,Qingdao University,Qingdao,Shandong
    3School of Clinical Medicine,Binzhou Medical College,Yantai,Shandong
    4Department of General Surgery,Yantai Yuhuanding Hospital,Yantai,Shandong,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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