Competing risk of the specific mortality among Asian-American patients with prostate cancer: a surveillance, epidemiology, and end results analysis

BMC Urol. 2022 Mar 24;22(1):42. doi: 10.1186/s12894-022-00992-y.

Abstract

Background: Adopted the competing-risk model to investigate the relevant factors affecting the prostate cancer (PCa)-specific mortality among Asian-American PCa patients based on the Surveillance, Epidemiology, and End Results (SEER) database.

Methods: The information of 26,293 Asian-American patients diagnosed with PCa between 2004 and 2015 were extracted from the SEER 18 database. Subjects were divided into three groups: died of PCa, died of other causes, survival based on the outcomes at the end of 155 months' follow-up. Multivariate analysis was performed by the Fine-gray proportional model. Meanwhile, subgroup analyses were conducted risk stratification by race and age.

Results: Age ≥ 65 years [Hazard ratio (HR) = 1.509, 95% confidence interval (CI) 1.299-1.754], race (HR = 1.220, 95% CI 1.028-1.448), marital status (unmarried, single or widowed, HR = 1.264, 95% CI 1.098-1.454), tumor grade II (HR = 3.520, 95% CI 2.915-4.250), the American Joint Committee on Cancer (AJCC) stage (T3: HR = 1.597, 95% CI 1.286-1.984; T4: HR = 2.446, 95% CI 1.796-3.331; N1: HR = 1.504, 95% CI 1.176-1.924; M1: HR = 9.875, 95% CI 8.204-11.887) at diagnosis, radiotherapy (HR = 1.892, 95% CI 1.365-2.623), regional nodes positive (HR = 2.498, 95% CI 1.906-3.274) increased risk of PCa-specific mortality for Asian-American PCa patients, while surgical (HR = 0.716, 95% CI 0.586-0.874) reduced the risk.

Conclusion: The study findings showed that age, race, marital status, tumor grade (II), AJCC stages (T3, T4, N1, M1) at diagnosis, radiotherapy, regional nodes positive and surgery was associated with the specific mortality of PCa patients among Asian-Americans.

Keywords: Asian-American; Competing-risk; PCa-specific mortality; SEER.

MeSH terms

  • Aged
  • Asian*
  • Humans
  • Male
  • Marital Status
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Grading
  • Neoplasm Staging
  • Prognosis
  • Proportional Hazards Models
  • Prostatic Neoplasms / ethnology*
  • Prostatic Neoplasms / mortality
  • Prostatic Neoplasms / pathology
  • Risk Factors
  • SEER Program
  • United States / epidemiology