Risk for Second Primary Ovarian Cancer: A Large Population Based on Surveillance, Epidemiology, and End Results Database

被引:0
|
作者
Hu, Haiyang [1 ]
Ren, Yangsheng [1 ]
Li, Huixing [1 ]
Zhang, Tishuo [1 ]
Sun, Lin [1 ]
机构
[1] Jining Med Univ, Affiliated Hosp, Dept Gynecol, Jining, Peoples R China
关键词
Second primary ovarian cancer; Standardized incidence ratios; First primary cancer types; Diagnosis interval; Radiotherapy; BREAST-CANCER; PRIMARY MALIGNANCIES; WOMEN; ASSOCIATION;
D O I
10.1159/000542044
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: This study aims to evaluate the likelihood of developing a second primary ovarian cancer (OC) considering factors including age, race, and the types of initial malignancies encountered. Methods: This study employed a retrospective cohort approach, compiling data on individuals diagnosed with OC from the Surveillance, Epidemiology, and End Results (SEER) program databases spanning the years 1975-2019. The analysis used standardized incidence ratios (SIRs) with 95% confidence intervals (CIs) to determine the likelihood of developing OC. The result was further refined by categorizing the data based on patient age, race background, first primary cancer types, the time elapsed since the second primary cancer diagnosis, and radiotherapy treatment. Results: A total of 1,536,151 patients with second primary cancer being OC were included. The SIR of the second primary OC was observed to be elevated among patients between the ages of 18-64 years (SIR: 1.09, 95% CI: 1.06-1.13). In contrast, for patients who were 65 years of age or older, the SIR for a second primary OC was found to be relatively lower (SIR: 0.87, 95% CI: 0.83-0.91). A lowering, however, not statistically significant, of the SIR of the second primary OC in patients with white race was presented. Within 2 months to 1-year diagnosis interval, the SIR of the second primary OC was highest (SIR: 1.48, 95% CI: 1.37-1.61). Liver, gallbladder, intrahepatic, and other bile ducts (SIR: 2.00, 95% CI: 1.38-2.81), and breast cancer (SIR: 1.20, 95% CI: 1.15-1.25) had higher SIRs of second primary OC. Conclusion: This study identifies age, ethnicity, the time span between the diagnoses, and the types of initial cancers as factors correlated with the occurrence of a second primary OC. Our findings suggest that targeted surveillance should be considered for high-risk groups. (c) 2024 S. Karger AG, Basel
引用
收藏
页数:12
相关论文
共 50 条
  • [41] The Prognostic Impact of Age at Diagnosis Upon Breast Cancer of Different Immunohistochemical Subtypes: A Surveillance, Epidemiology, and End Results (SEER) Population-Based Analysis
    Cai, Shibin
    Zuo, Wenjia
    Lu, Xunxi
    Gou, Zongchao
    Zhou, Yi
    Liu, Pengpeng
    Pan, Yin
    Chen, Shuzheng
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [42] The Role of Radiation Therapy in Malignant Thymoma A Surveillance, Epidemiology, and End Results Database Analysis
    Fernandes, Annemarie T.
    Shinohara, Eric T.
    Guo, Mengye
    Mitra, Nandita
    Wilson, Lynn D.
    Rengan, Ramesh
    Metz, James M.
    JOURNAL OF THORACIC ONCOLOGY, 2010, 5 (09) : 1454 - 1460
  • [43] Risk of thyroid cancer after therapeutic irradiation in adult patients: An Age-Based surveillance, epidemiology, and end results analysis
    Dalwadi, Shraddha M.
    Dorman, Clark
    Fisher, Sarah B.
    Bonnen, Mark
    Grubbs, Elizabeth
    Ludwig, Michelle S.
    LARYNGOSCOPE, 2020, 130 (08) : 2081 - 2086
  • [44] Influence of marital status on overall survival in patients with ovarian serous carcinoma: finding from the surveillance epidemiology and end results (SEER) database
    Luo, Pei
    Zhou, Jian-Guo
    Jin, Su-Han
    Qing, Ming-Song
    Ma, Hu
    JOURNAL OF OVARIAN RESEARCH, 2019, 12 (01)
  • [45] Epidemiology, prognostic factors, and treatment of head and neck mucoepidermoid carcinoma: Analysis of the surveillance, epidemiology, and end results database
    Gui, Lin
    Zhu, Yiming
    Zhang, Ye
    Tang, Le
    Yao, Jiarui
    BRAZILIAN JOURNAL OF OTORHINOLARYNGOLOGY, 2024, 90 (05)
  • [46] Causes of death and competing risk analysis of the associated factors for non-small cell lung cancer using the Surveillance, Epidemiology, and End Results database
    Wei, Shenhai
    Tian, Jintao
    Song, Xiaoping
    Wu, Bingqun
    Liu, Limin
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2018, 144 (01) : 145 - 155
  • [47] Trends in the outcomes for patients with limited stage small cell lung cancer: An analysis of the Surveillance, Epidemiology, and End Results database
    Lally, Brian E.
    Geiger, Ann M.
    Urbanic, James J.
    Butler, Jerome M.
    Wentworth, Stacy
    Perry, Michael C.
    Wilson, Lynn D.
    Horton, Janet K.
    Detterbeck, Frank C.
    Miller, Antonius A.
    Thomas, Charles R., Jr.
    Blackstock, A. William
    LUNG CANCER, 2009, 64 (02) : 226 - 231
  • [48] Association of molecular subtypes and treatment with survival in invasive micropapillary breast cancer: an analysis of the Surveillance, Epidemiology, and End Results database
    Tang, Zhenning
    Li, Ling
    Huang, Xiaoying
    Zhao, Yinbing
    Huang, Lingyan
    BREAST CANCER, 2024, 31 (02) : 205 - 216
  • [49] Marital status is an independent prognostic factor in inflammatory breast cancer patients: an analysis of the surveillance, epidemiology, and end results database
    Liu, Yan-ling
    Wang, Dun-wei
    Yang, Zhu-chun
    Ma, Rui
    Li, Zhong
    Suo, Wei
    Zhao, Zhuang
    Li, Zhi-wen
    BREAST CANCER RESEARCH AND TREATMENT, 2019, 178 (02) : 379 - 388
  • [50] Survival among Breast Cancer Patients: Comparison of the US Military Health System with the Surveillance, Epidemiology and End Results Program
    Lin, Jie
    Hu, Hai
    Shriver, Craig D.
    Zhu, Kangmin
    CLINICAL BREAST CANCER, 2022, 22 (04) : E506 - E516