scholarly journals Head & neck acinar cell carcinoma: a population-based study using the seer registry

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Feiluore Yibulayin ◽  
Lei Feng ◽  
Meng Wang ◽  
Meng-meng Lu ◽  
Yuan Luo ◽  
...  
2020 ◽  
Author(s):  
Feiluore Yibulayin ◽  
Lei Feng ◽  
Meng Wang ◽  
Meng-meng Lu ◽  
Yuan Luo ◽  
...  

Abstract Background: to explore the clinicopathologic characteristics, treatment and prognostic factors of head and neck acinar cell carcinoma (HNACC) comprehensively. Methods: A population-based study was conducted using data from the Surveillance, Epidemiology, and End Results database (1975- 2016). Overall survival (OS) and HNACC-specific survival of patients with different clinicopathologic variables were compared using the Kaplan-Meier method and Cox multivariate regression. Results: A total of 2624 primary HNACC cases (1052 males, 1572 females) were identified. There was a significant difference in gender distribution. Among the total cohort, 2416 cases originated from salivary glands, including 2325 parotid gland ACC cases. Regardless of confounding factors, the 10-year and 20-year disease-specific survival (DSS) was 93.6% and 90%, respectively. Surgery was favourably associated with better DSS and OS [HR = 0.13, P = 0.0092 and HR = 0.23, P = 0.0203]. Gender was the only demographic independent prognostic factor for both DSS and OS [male vs female, HR = 3.3, P = 0.0028 for DSS; HR = 2.44, P = 0.0376 for OS]. Higher pathological grade was adversely associated with DSS and OS [Grade II, HR= 4.03, P = 0.0444; Grade III + IV, HR = 35.64, P = 0.0000 for DSS; Grade III + IV, HR = 4.49, P = 0.0000 for OS, Grade I as reference]. In addition, TNM/AJCC stage was commonly associated with prognosis. Conclusion: Surgery was the only favourable prognostic indicator for both DSS and OS. Gender, age, pathological differentiation and TNM/AJCC stage were independent prognostic factors for survival.


2020 ◽  
Author(s):  
Feiluore Yibulayin ◽  
Meng Wang ◽  
Meng-meng Lu ◽  
Yuan Luo ◽  
Hui Liu ◽  
...  

Abstract Background:to explorethe clinicopathologic characteristics, treatment and prognostic factors of head and neck acinar cell carcinoma (HNACC) comprehensively.Methods:A population-based study was conductedusing data from the Surveillance, Epidemiology, and End Results database (1975- 2016). Overall survival (OS) and HNACC-specific survival of patients with different clinicopathologic variables were compared using the Kaplan-Meier method and Cox multivariate regression.Results:A total of 2624 primary HNACC cases (1052 males, 1572 females) were identified. There was a significant difference in gender distribution. Among the total cohort, 2416 cases originated from salivary glands, including 2325 parotid gland ACC cases. Regardless of confounding factors, the 10-year and 20-year disease-specific survival (DSS) was 93.6% and 90%, respectively. Surgery was favourably associated with better DSS and OS [HR= 0.13, P = 0.0092 andHR = 0.23, P = 0.0203]. Gender was the only demographic independent prognostic factor for both DSS and OS [male vs female, HR = 3.3, P = 0.0028 for DSS; HR = 2.44, P = 0.0376 for OS]. Higher pathological grade was adversely associated with DSS and OS [Grade II, HR= 4.03, P = 0.0444; Grade III + IV, HR = 35.64, P = 0.0000 for DSS; Grade III + IV, HR = 4.49, P = 0.0000 for OS, Grade I as reference]. In addition, TNM/AJCC stage was commonly associated with prognosis.Conclusion:Surgerywasthe only favourable prognostic indicator for both DSS and OS. Gender, age, pathological differentiation and TNM/AJCC stage were independent prognostic factors for survival.


PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243164
Author(s):  
Nie Duorui ◽  
Bin Shi ◽  
Tao Zhang ◽  
Chuyao Chen ◽  
Chongkai Fang ◽  
...  

Background Primary acinar cell carcinoma (ACC) is a rare exocrine tumor of the pancreas with unclear clinical characteristics. Our goal was to determine the incidence and update the clinical characteristics and outcomes of ACC. Methods Through the Surveillance, Epidemiology, and End Results (SEER) database, we identified 252 patients with the latest diagnosis of ACC (2004–2016). The age-adjusted incidence (AAI) was calculated using the SEER*Stat Software version 8.3.6. The Kaplan–Meier method was used to draw survival curves and differences among them were compared by the log-rank test. Cox proportional hazards models were used to evaluate factors that had independent predictive effects on the overall survival. Results The AAI of pancreatic ACC was on the rise with the mean age at diagnosis of 63.79±14.79 years. Most patients (15.9%) had poorer differentiated tumors. The patients presented with distant stage were 54.4% compared with 53.1% between 1988 and 2003. The 1-, 2-, and 5-years survival rates for pancreatic ACC patients were 53.5%, 34.6%,17.5%, respectively (compared with 78.5%, 67.0%, and 42.8%, between 1988 and 2003). The multivariate COX analysis showed that the patient's age, surgery, chemotherapy, and summary stage, but not marital status were independent prognosis factors for ACC. Conclusions Pancreatic ACC is a highly malignant tumor with an increasing incidence in recent years. The rate of distant metastasis is increasing and the survival rate is worse than in the past, suggesting that it may require more aggressive treatment and follow-up. Surgery, radiotherapy, and chemotherapy are all effective treatments, but prospective studies are still needed to verify them.


Surgery ◽  
2008 ◽  
Vol 144 (2) ◽  
pp. 141-148 ◽  
Author(s):  
Nicholas C. Wisnoski ◽  
Courtney M. Townsend ◽  
William H. Nealon ◽  
Jean L. Freeman ◽  
Taylor S. Riall

2008 ◽  
Vol 144 (2) ◽  
pp. 182
Author(s):  
Nicholas C. Wisnoski ◽  
Courtney M. Townsend ◽  
William H. Nealon ◽  
Jean L. Freeman ◽  
Taylor S. Riall

2005 ◽  
Vol 173 (4S) ◽  
pp. 73-73 ◽  
Author(s):  
Daniel A. Barocas ◽  
Farhang Rabbani ◽  
Douglas S. Scherr ◽  
E. Darracott Vaughan

2001 ◽  
Vol 45 (1) ◽  
pp. 29 ◽  
Author(s):  
Jong Young Oh ◽  
Kyung Jin Nam ◽  
Jong Cheol Choi ◽  
Suck Bin Suh ◽  
Ki Nam Lee ◽  
...  

Pancreas ◽  
2020 ◽  
Vol 49 (6) ◽  
pp. 781-787
Author(s):  
Yuan Zong ◽  
Changsong Qi ◽  
Zhi Peng ◽  
Lin Shen ◽  
Jun Zhou

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