scholarly journals Epidemiology, tumor characteristics and survival in patients with angiosarcoma in the United States: a population-based study of 4537 cases

2019 ◽  
Vol 49 (12) ◽  
pp. 1092-1099 ◽  
Author(s):  
Chao Zhang ◽  
Guijun Xu ◽  
Zheng Liu ◽  
Yao Xu ◽  
Feng Lin ◽  
...  

Abstract Objective Limited by sample size, angiosarcoma was rarely studied. We aimed to investigate the characteristics and prognosis of angiosarcoma in the National Cancer Institute’s Surveillance, Epidemiology and End Results database. Methods Patients who were diagnosed with primary angiosarcoma from 1973 to 2014 were extracted from the Surveillance, Epidemiology and End Results database. Kaplan–Meier analysis was used to estimate the overall survival, and the difference between groups was tested by the log-rank test. Multivariate Cox regression analyses were employed to identify prognostic factors for primary angiosarcoma. Results A total of 4537 patients with angiosarcoma were included with the median age of 69 years. The median overall survival was 82.1 (95% confidence interval: 76.5–87.7) months. Overall 1-, 2- and 5-year survival rates were 55.2 ± 0.7, 41.0 ± 0.7 and 26.3 ± 0.7%, respectively. In the univariate analysis, age, gender, marital status, race, primary site, tumor grade, tumor size, Surveillance, Epidemiology and End Results historic stage and the surgery of primary site were significantly associated with overall survival. Multivariate Cox regression showed that factors including the patients older than 69 years, male, unmarried status, other primary sites, grades (III and IV), tumor size ≥ 5 cm, regional and distant stage and non-surgery were independently associated with poor survival. The results were consistent after excluding the patients in IV stages. Conclusions This large population-based study comprehensively described the survival rate and prognostic factors for angiosarcoma in the United States. Age, gender, marital status, primary sites, tumor grade and size and historic stage were determinants of survival, and surgery can improve the prognosis of patients with angiosarcoma.

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2844
Author(s):  
Christopher J. D. Wallis ◽  
Bobby Shayegan ◽  
Scott C. Morgan ◽  
Robert J. Hamilton ◽  
Ilias Cagiannos ◽  
...  

De novo cases of metastatic prostate cancer (mCSPC) are associated with poorer prognosis. To assist in clinical decision-making, we aimed to determine the prognostic utility of commonly available laboratory-based markers with overall survival (OS). In a retrospective population-based study, a cohort of 3556 men aged ≥66 years diagnosed with de novo mCSPC between 2014 and 2019 was identified in Ontario (Canada) administrative database. OS was assessed by using the Kaplan–Meier method. Multivariate Cox regression analysis was performed to evaluate the association between laboratory markers and OS adjusting for patient and disease characteristics. Laboratory markers that were assessed include neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), albumin, hemoglobin, serum testosterone and PSA kinetics. Among the 3556 older men with de novo mCSPC, their median age was 77 years (IQR: 71–83). The median survival was 18 months (IQR: 10–31). In multivariate analysis, a statistically significant association with OS was observed with all the markers (NLR, PLR, albumin, hemoglobin, PSA decrease, reaching PSA nadir and a 50% PSA decline), except for testosterone levels. Our findings support the use of markers of systemic inflammation (NLR, PLR and albumin), hemoglobin and PSA metrics as prognostic indicators for OS in de novo mCSPC.


2021 ◽  
Author(s):  
Jia Hong ◽  
Rongrong Wei ◽  
Chuang Nie ◽  
Anastasiia Leonteva ◽  
Xu Han ◽  
...  

Aim: To assess and predict risk and prognosis of lung cancer (LC) patients with second primary malignancy (SPM). Methods: LC patients diagnosed from 1992 to 2016 were obtained through the Surveillance, Epidemiology, and End Results database. Standardized incidence ratios were calculated to evaluate SPM risk. Cox regression and competing risk models were applied to assess the factors associated with overall survival, SPM development and LC-specific survival. Nomograms were built to predict SPM probability and overall survival. Results & conclusion: LC patients remain at higher risk of SPM even though the incidence declines. Patients with SPM have a better prognosis than patients without SPM. The consistency indexes for nomograms of SPM probability and overall survival are 0.605 (95% CI: 0.598–0.611) and 0.644 (95% CI: 0.638–0.650), respectively.


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