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Clinical calculator based on CT and clinicopathologic characteristics predicts short-term prognosis following resection of microsatellite-stabilized diffuse gastric cancer.
Liu, Pengpeng; Ding, Ping'an; Guo, Honghai; Yang, Jiaxuan; Wu, Haotian; Wu, Jiaxiang; Yang, Peigang; Zhao, Qun.
Afiliación
  • Liu P; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
  • Ding P; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
  • Guo H; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
  • Yang J; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
  • Wu H; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
  • Wu J; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
  • Yang P; The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
  • Zhao Q; Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
Abdom Radiol (NY) ; 2024 May 10.
Article en En | MEDLINE | ID: mdl-38727742
ABSTRACT

PURPOSE:

Although microsatellite stability/Epithelial-mesenchymal transition (MSS/EMT) subtypes have been reported in multiple cancer prognosis studies, strong confounding factors between MSS/EMT (usually with Lauren's diffuse phenotype) and diffuse gastric cancer (GC) may obscure the independent prognostic value of diffuse GC. Additionally, recent studies suggest a strong correlation between mural stratification based on CT and diffuse GC. This study aims to investigate potential prognostic factors of MSS diffuse GC using mural stratification and to develop a risk assessment model.

METHODS:

This retrospective study included 131 patients with MSS diffuse GC who underwent radical surgery. Univariate and multivariate Cox proportional hazards regression analysis was used to identify model predictors and construct a nomogram for overall survival (OS) and recurrence-free survival (RFS) risks. The model's performance was evaluated using ROC, accuracy, and C-index. Internal validation of the model was conducted using the bootstrap resampling method.

RESULTS:

Among 131 cases, 60 cases (45.8%) exhibited grade 2 mural stratification, which correlated with a poorer tumor prognosis and a more invasive phenotype. Furthermore, a nomogram for predicting OS and RFS prognosis was established based on multivariate results (age, extranodal invasion, mural stratification, and/or P53). The nomogram demonstrated excellent performance, with an AUC of 0.859 (95% CI 0.794-0.924) for OS and 0.859 (95% CI 0.789-0.929) for RFS. Internal validation using 1000 bootstrap samples yielded AUC values of 0.845 and 0.846 for OS and RFS, respectively.

CONCLUSION:

Grade 2 mural stratification based on CT imaging revealed a more aggressive invasive phenotype, characterized by increased LN metastasis, higher rates of peritoneal metastasis, and a poorer short-term prognosis. Furthermore, the CT phenotype-based nomogram demonstrates favorable discrimination and calibration, enabling convenient individual short-term prognostic evaluation following resection of MSS diffuse GC.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Abdom Radiol (NY) Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Abdom Radiol (NY) Año: 2024 Tipo del documento: Article