scholarly journals P1.16-41 The Role of Surgery in Pulmonary Large Cell Neuroendocrine Carcinoma: A Propensity-Score Matching Analysis of SEER Database

2018 ◽  
Vol 13 (10) ◽  
pp. S643-S644
Author(s):  
Z. Liu ◽  
H. Liang ◽  
G. Qiu ◽  
Y. Wen ◽  
J. He ◽  
...  
2020 ◽  
Vol 61 (4) ◽  
pp. 594-601
Author(s):  
Ling Cao ◽  
Hong-Fen Wu ◽  
Ling Zhao ◽  
Yan Bai ◽  
Zhi-lan Jiang ◽  
...  

Abstract The aim of the study was to investigate the survival advantage of radiotherapy (RT) in patients with pulmonary large cell neuroendocrine carcinoma (LCNEC). Patients with pulmonary LCNEC were extracted from the Surveillance, Epidemiology, and End Results (SEER) dataset between January 2004 and December 2013. Propensity score matching (PSM) analysis with 1:1 was used to ensure well-balanced characteristics of all comparison groups. A total of 1480 eligible cases were identified, with a median follow-up time of 11 months (0–131 months). After PSM, 980 patients were classified in no radiotherapy (No RT) and radiotherapy (RT) groups (n = 490 each). Patients in the RT group harbored significantly higher 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) rates compared to those in the No RT group (both P < 0.05). Furthermore, RT was an independent favorable prognostic factor of OS as well as CSS in multivariate analysis, both before [OS: hazard ratio (HR) 0.840, 95% confidence interval (CI) 0.739–0.954, P = 0.007; CSS: HR 0.847, 95% CI 0.741–0.967, P = 0.014] and after (OS: HR 0.854, 95% CI 0.736–0.970, P = 0.016; CSS: HR 0.848, 95% CI 0.735–0.978, P = 0.023) PSM. In subgroup analysis, American Joint Committee on Cancer (AJCC) stage II and III, tumor size 5-10 cm, patients who underwent no surgery, or patients who received chemotherapy could significantly benefit from RT (all P < 0.05). To sum up, our findings suggested that RT could prolong the survival of patients with pulmonary LCNEC, especially those with stage II and III, tumor size 5-10 cm, those with no surgery, or those who received chemotherapy.


2020 ◽  
Author(s):  
Dong Han ◽  
Fei Gao ◽  
Nan Li ◽  
Hao Wang ◽  
Qi Fu

Abstract Background Lung large cell neuroendocrine carcinoma (L-LCNEC) has a poor prognosis with lower survival rate than other NSCLC patients. The estimation of an individual survival rate is puzzling. The main purpose of this study was to establish a more accurate model to predict the prognosis of L-LCNEC.Methods Patients aged 18 years or older with L-LCNEC were identified from the Surveillance, Epidemiology and End Results (SEER) database from 2004 to 2015. Cox regression analysis was used to identify factors associated with survival time. The results were used to construct a nomogram to predict 1-year, and 3-year survival probability in L-LCNEC patients. Overall survival (OS) were compared between low risk group and high risk group by the Kaplan–Meier analysis.Results A total of 3216 patients were included in the study. We randomly divided all included patients into 7:3 training and validating groups. In multivariable analysis of training cohort, age at diagnosis, sex, stage of tumor, surgical treatment, radiotherapy and chemotherapy were independent prognostic factors for OS. All these factors were incorporated to construct a nomogram, which was tested in the validating cohort.Conclusions we constructed a visual nomogram prognosis model, which had the potential to predict the 1-year and 3-year survival rate of L-LCNEC patients, and could be used as an assistant prediction tool in clinical practice.


2015 ◽  
Vol 4 (1S) ◽  
pp. 15-18
Author(s):  
Alfredo Butera

In this article we report a case of a patient with large cell neuroendocrine carcinoma (LCNEC) of the lung. Patients with LCNEC usually have poor prognosis and the benefit of adjuvant chemotherapy for these patients has not been fully established. This case suggests that octreotide LAR, a somatostatine analogue (SSA), can be useful in the treatment of neuroendocrine carcinoma also as maintenance therapy in association with chemotherapy. Further studies, regarding individual tumour biological behaviour and SSAs optimal dosage, could be useful to optimise treatment and to add new insights into the mechanisms of action and the role of SSAs in the therapy of NETs.


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