495P Clinical characteristics, prognostic factors and survival of early-onset colorectal cancer (EOCRC) in a Spanish cohort

2021 ◽  
Vol 32 ◽  
pp. S575-S576
Author(s):  
J. Soto Alsar ◽  
N. Gutiérrez Alonso ◽  
M. Bringas Beranek ◽  
C. López Jiménez ◽  
A. Gutiérrez Ortiz de la Tabla ◽  
...  
Author(s):  
Junxian Wu ◽  
Linbin Lu ◽  
Hong Chen ◽  
Yihong Lin ◽  
Huanlin Zhang ◽  
...  

Abstract Purpose The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. Methods Eligible patients with EO-CRC diagnosed from 2010 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into a training cohort and a testing cohort. Independent prognostic factors were obtained using univariate and multivariate Cox analyses and were used to establish a nomogram for predicting 3- and 5-year overall survival (OS). The discriminative ability and calibration of the nomogram were assessed using C-index values, AUC values, and calibration plots. Results In total, 5585 patients with EO-CRC were involved in the study. Based on the univariate and multivariate analyses, 15 independent prognostic factors were assembled into the nomogram to predict 3- and 5-year OS. The nomogram showed favorable discriminatory ability as indicated by the C-index (0.840, 95% CI 0.827–0.850), and the 3- and 5-year AUC values (0.868 and 0.84869 respectively). Calibration plots indicated optimal agreement between the nomogram-predicted survival and the actual observed survival. The results remained reproducible in the testing cohort. The C-index of the nomogram was higher than that of the TNM staging system (0.840 vs 0.804, P < 0.001). Conclusion A novel prognostic nomogram for EO-CRC patients based on independent clinicopathological and socio-economic factors was developed, which was superior to the TNM staging system. The nomogram could facilitate postoperative individual prognosis prediction and clinical decision-making.


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Milena Di Leo ◽  
Raffaella A. Zuppardo ◽  
Marta Puzzono ◽  
Ilaria Ditonno ◽  
Alessandro Mannucci ◽  
...  

2019 ◽  
Vol 89 (6) ◽  
pp. AB398
Author(s):  
Rawan Dayah ◽  
Mohammad Bilal ◽  
Nattapron Tun ◽  
Tewfeek K. Abu-Shami ◽  
Adam L. Booth ◽  
...  

2021 ◽  
Vol 28 ◽  
pp. 107327482098682
Author(s):  
Min Shi ◽  
Biao Zhou

Background: The incidence of pancreatic neuroendocrine tumors (PNETs) has increased significantly. The purpose of this study was to analyze the clinical characteristics and prognosis of patients under 50 years old. Methods: Patients with PNETs recorded in the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015 were analyzed. The clinical characteristics were analyzed by Chi-square test. The Kaplan-Meier method was used to estimate overall survival (OS). Multivariate Cox proportional risk regression analysis was used to determine independent prognostic factors. Results: 2,303 patients included, of which 547 (23.8%) patients were younger than 50 years old. The number of younger patients has increased steadily, while the proportion in total PNETs decreased recently. Compared with older group, the proportion of the Black, grade I/II, and surgery were higher in early-onset PNETs. Liver was the most frequent metastatic site. There was no significant difference in the incidence of different metastatic sites between younger and older PNETs patients, while younger patients had better OS (P < 0.05). Grade, N stage, M stage, and surgery were independent prognostic factors for OS in early-onset PNETs. Conclusions: Younger patients have unique clinicopathological characteristics compared with older patients in PNETs. Better OS was observed in younger patients which might due to the higher proportion of well-differentiated tumor and surgery than older patients.


2020 ◽  
Vol 158 (6) ◽  
pp. S-496
Author(s):  
Arif A. Arif ◽  
Daljeet Chahal ◽  
Caroline Speers ◽  
Mary A. De Vera ◽  
Sharlene Gill ◽  
...  

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