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Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database.
Nie, Duorui; Yang, Jing; Zheng, Hao; Lai, Guihua; Wang, Fei; Cao, Jianxiong; Gong, Chun.
Afiliação
  • Nie D; Department of Oncology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Yang J; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Zheng H; First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Lai G; Department of Oncology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Wang F; Department of Oncology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Cao J; School of Continuing Education, Hunan University of Chinese Medicine, Changsha, China.
  • Gong C; Department of Oncology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China. gc89785189@sina.com.
BMC Gastroenterol ; 23(1): 62, 2023 Mar 09.
Article em En | MEDLINE | ID: mdl-36894876
ABSTRACT

OBJECTIVES:

This study aimed to compare the incidence, clinicopathological characteristics and survival results of pancreatic signet ring cell carcinoma (PSRCC) and pancreatic adenocarcinomas (PDAC), as well as to analyze the clinical characteristics related to the overall survival (OS) of PSRCC, and to establish an effective prognostic nomogram to predict the risks associated with patient outcomes.

METHODS:

A total of 85,288 eligible patients including 425 PSRCC and 84,863 PDAC cases were retrieved from the Surveillance, Epidemiology, and End Results database. The survival curve was calculated using the Kaplan-Meier method and differences in them were measured by Log-rank tests. The Cox proportional hazards regression model was used to identify independent predictors of OS in patients with PSRCC. A nomogram was constructed to predict 1-, 3-, and 5-year OS. The performance of the nomogram was measured by C-index, receiver operating characteristic (ROC) curve, decision curve analysis (DCA).

RESULTS:

The incidence of PSRCC is much lower than that of PDAC (10.798 V.S. 0.349 per millions). PSRCC is an independent predictor of pancreatic cancer with a poorer histological grade, a higher rate of lymph node and distant metastasis, and a poorer prognosis. We identified four independent prognostic factors including grade, American Joint Committee on Cancer Tumor-Node-Metastasis (TNM) stage, surgery and chemotherapy based on the Cox regression model. The C-index and DCA curves showed better performance of the nomogram than TNM stage. ROC curve analysis also showed that the nomogram had good discrimination, with an area under the curve of 0.840, 0.896, and 0.923 for 1-, 3-, and 5-year survival. The calibration curves showed good agreement between the prediction by the nomogram and actual observations.

CONCLUSION:

PSRCC is a rare but fatal subtype of pancreatic cancer. The constructed nomogram in this study accurately predicted the prognosis of PSRCC, performed better than the TNM stage.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma de Células em Anel de Sinete Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma de Células em Anel de Sinete Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article