Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database

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 P...

Full description

Bibliographic Details
Main Authors: Duorui Nie, Jing Yang, Hao Zheng, Guihua Lai, Fei Wang, Jianxiong Cao, Chun Gong
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Gastroenterology
Subjects:
Online Access:https://doi.org/10.1186/s12876-023-02650-5
_version_ 1827983951461875712
author Duorui Nie
Jing Yang
Hao Zheng
Guihua Lai
Fei Wang
Jianxiong Cao
Chun Gong
author_facet Duorui Nie
Jing Yang
Hao Zheng
Guihua Lai
Fei Wang
Jianxiong Cao
Chun Gong
author_sort Duorui Nie
collection DOAJ
description 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.
first_indexed 2024-04-09T22:54:20Z
format Article
id doaj.art-d4c3c61caf974091a0db4f97ae3318b3
institution Directory Open Access Journal
issn 1471-230X
language English
last_indexed 2024-04-09T22:54:20Z
publishDate 2023-03-01
publisher BMC
record_format Article
series BMC Gastroenterology
spelling doaj.art-d4c3c61caf974091a0db4f97ae3318b32023-03-22T11:23:04ZengBMCBMC Gastroenterology1471-230X2023-03-0123111010.1186/s12876-023-02650-5Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER databaseDuorui Nie0Jing Yang1Hao Zheng2Guihua Lai3Fei Wang4Jianxiong Cao5Chun Gong6Department of Oncology, The First Hospital of Hunan University of Chinese MedicineFirst Clinical Medical College, Guangzhou University of Chinese MedicineFirst Clinical Medical College, Guangzhou University of Chinese MedicineDepartment of Oncology, The First Hospital of Hunan University of Chinese MedicineDepartment of Oncology, The First Hospital of Hunan University of Chinese MedicineSchool of Continuing Education, Hunan University of Chinese MedicineDepartment of Oncology, The First Hospital of Hunan University of Chinese MedicineAbstract 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.https://doi.org/10.1186/s12876-023-02650-5NomogramPancreatic signet ring cell carcinomaPrognosisSurvivalSEER
spellingShingle Duorui Nie
Jing Yang
Hao Zheng
Guihua Lai
Fei Wang
Jianxiong Cao
Chun Gong
Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database
BMC Gastroenterology
Nomogram
Pancreatic signet ring cell carcinoma
Prognosis
Survival
SEER
title Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database
title_full Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database
title_fullStr Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database
title_full_unstemmed Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database
title_short Survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma: a population study based on the SEER database
title_sort survival analysis and individualized prediction of survival benefit for pancreatic signet ring cell carcinoma a population study based on the seer database
topic Nomogram
Pancreatic signet ring cell carcinoma
Prognosis
Survival
SEER
url https://doi.org/10.1186/s12876-023-02650-5
work_keys_str_mv AT duoruinie survivalanalysisandindividualizedpredictionofsurvivalbenefitforpancreaticsignetringcellcarcinomaapopulationstudybasedontheseerdatabase
AT jingyang survivalanalysisandindividualizedpredictionofsurvivalbenefitforpancreaticsignetringcellcarcinomaapopulationstudybasedontheseerdatabase
AT haozheng survivalanalysisandindividualizedpredictionofsurvivalbenefitforpancreaticsignetringcellcarcinomaapopulationstudybasedontheseerdatabase
AT guihualai survivalanalysisandindividualizedpredictionofsurvivalbenefitforpancreaticsignetringcellcarcinomaapopulationstudybasedontheseerdatabase
AT feiwang survivalanalysisandindividualizedpredictionofsurvivalbenefitforpancreaticsignetringcellcarcinomaapopulationstudybasedontheseerdatabase
AT jianxiongcao survivalanalysisandindividualizedpredictionofsurvivalbenefitforpancreaticsignetringcellcarcinomaapopulationstudybasedontheseerdatabase
AT chungong survivalanalysisandindividualizedpredictionofsurvivalbenefitforpancreaticsignetringcellcarcinomaapopulationstudybasedontheseerdatabase