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Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis.
Xiao, Xueyan; Gao, Beibei; Pang, Suya; Wang, Zeyu; Jiang, Weiwei; Wang, Weijun; Lin, Rong.
Afiliação
  • Xiao X; Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Gao B; Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Pang S; Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Wang Z; Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Jiang W; Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Wang W; Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. wangweijunct@sina.com.
  • Lin R; Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. selinalin35@hotmail.com.
BMC Gastroenterol ; 23(1): 121, 2023 Apr 12.
Article em En | MEDLINE | ID: mdl-37046218
ABSTRACT

BACKGROUND:

It has previously been observed that the prognostic value of tumor size varied according to different stages patients enrolled in gastric cancer. We aimed to investigate the influence of T stage on the prognostic and predicting value of tumor size. MATERIAL AND

METHODS:

A total of 13,585 patients with stage I-III gastric cancer were selected from the Surveillance, Epidemiology, and End Results Program (SEER) database. Univariate and multivariate cox regression analysis stratified by T stage were performed. C-index and time-dependent receiver operating characteristic curve (ROC) curve were applied to assess discrimination ability of tumor size and other factors. Nomograms were constructed to further assess the performance of tumor size in a specific model. Calibration ability, discrimination ability, reclassification ability and clinical benefits were executed to judge the performance of models.

RESULTS:

Stratified analyses according to T stage illustrated that with the increase of T stage, the effect of tumor size on overall survival (OS) and cancer-specific survival (CSS) significantly decreased. Moreover, tumor size showed superior discrimination ability in T1 gastric cancer, outperformed other prognostic factors in predicting both CSS (C-index 0.666, AUC 0.687) and OS (C-index 0.635, AUC 0.660). The cox regression model included tumor size showed better performance than the model excluded tumor size in every aspect.

CONCLUSION:

T stage had a negative impact on the predicting value of tumor size. Tumor size showed significant prognostic value in T1 gastric cancer, which may be effective in clinical practice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: BMC Gastroenterol Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: BMC Gastroenterol Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China