Prognostic factors and outcomes of osseous chondrosarcoma after surgery: the 2004-2014 Surveillance, Epidemiology, and End Results database study

被引:2
|
作者
Chen, Chun-Hui [1 ,2 ]
Chen, Dong [1 ,2 ]
Lin, Zhong-Ke [1 ,2 ]
Xu, Hui [1 ,2 ]
Zheng, Jing-Wei [3 ]
Lin, Yan [1 ,2 ]
Ni, Wen-Fei [1 ,2 ]
Wang, Xiang-Yang [1 ,2 ]
Chen, Hua [1 ,2 ]
Qiao, Zhi-Guang [4 ]
Wu, Ai-Min [1 ,2 ]
机构
[1] Wenzhou Med Univ, Dept Orthopaed Surg, Affiliated Hosp 2, Bone Res Inst,Key Orthopaed Lab Zhejiang Prov, 109 Xueyuan Rd, Wenzhou 325027, Peoples R China
[2] Wenzhou Med Univ, Yuying Childrens Hosp, Key Orthopaed Lab Zhejiang Prov, Bone Res Inst, 109 Xueyuan Rd, Wenzhou 325027, Peoples R China
[3] Wenzhou Med Univ, Clin Res Ctr, Stat, Eye Hosp, Wenzhou 325027, Peoples R China
[4] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 9, Dept Orthopaed Surg, Sch Med, Shanghai 200011, Peoples R China
基金
中国国家自然科学基金;
关键词
Prognostic factors; chondrosarcoma; survival; Surveillance; Epidemiology; and End Results (SEER); SEER DATABASE; BONE; SURVIVAL; SPINE;
D O I
10.21037/tcr.2018.03.14
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Chondrosarcoma is a major malignant tumor occurs at skeletal system, the prognostic factors and survival outcomes of osseous chondrosarcoma after surgery were still unclear. Methods: The demographic information extracted include: age, gender, race, year of diagnosis, tumor sites, tumor size, grade, stages from the Surveillance, Epidemiology, and End Results (SEER) 18 registries research database [2004-2014]. The patients don't perform the surgery or the tumors sited at extraskeletal tissue are excluded. Multivariable Cox proportional hazard regression models are used to calculate the HRs with 95% CIs for chondrosarcoma cancer-specific survival (CCSS). Results: Total of 1,630 osseous chondrosarcoma patients that performed surgery are included in present study. Multivariable Cox proportional hazard regression models find that the higher grade and stage, old age more than 75 years, and tumor size more than 20 cm have significant associated with the CCSS. But the gender, race, and tumor sites have no significant associated with CCSS. Conclusions: We find grade, stage were independent prognostic factors for survival rate of osseous chondrosarcoma after surgery, and higher age more than 75 years, bigger tumor size more than 20 cm is also predicted poor outcomes.
引用
收藏
页码:341 / 346
页数:6
相关论文
共 50 条
  • [1] Treatment method and prognostic factors of chondrosarcoma: based on Surveillance, Epidemiology, and End Results (SEER) database
    Hua, Kun-Chi
    Hu, Yong-Cheng
    [J]. TRANSLATIONAL CANCER RESEARCH, 2020, 9 (07) : 4250 - 4266
  • [2] Prognostic factors of patients after liver cancer surgery Based on Surveillance, Epidemiology, and End Results database
    Liang, Fangfang
    Ma, Fuchao
    Zhong, Jincai
    [J]. MEDICINE, 2021, 100 (30) : E26694
  • [3] Prognostic factors and treatment outcomes of spinal osteosarcoma: Surveillance, epidemiology, and end results database analysis
    Wang, Jing
    Ni, Xiang-zhi
    Yang, Ming-lei
    Huang, Xing
    Hou, Shu-ming
    Peng, Cheng
    Cao, Jia-shi
    Liu, Tie-Long
    [J]. FRONTIERS IN ONCOLOGY, 2023, 13
  • [4] Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database
    Fu, Peng
    Shi, Yu
    Chen, Gang
    Fan, Yaohua
    Gu, Yanhong
    Gao, Zhenzhen
    [J]. TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2020, 19
  • [5] Development and validation of a nomogram containing the prognostic determinants of chondrosarcoma based on the Surveillance, Epidemiology, and End Results database
    Zhang, Jun
    Pan, Zhenyu
    Zhao, Fanfan
    Feng, Xiaojie
    Huang, Yuanchi
    Hu, Chuanyu
    Li, Yuanjie
    Lyu, Jun
    [J]. INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY, 2019, 24 (11) : 1459 - 1467
  • [6] Development and validation of a nomogram containing the prognostic determinants of chondrosarcoma based on the Surveillance, Epidemiology, and End Results database
    Jun Zhang
    Zhenyu Pan
    Fanfan Zhao
    Xiaojie Feng
    Yuanchi Huang
    Chuanyu Hu
    Yuanjie Li
    Jun Lyu
    [J]. International Journal of Clinical Oncology, 2019, 24 : 1459 - 1467
  • [7] Prognostic factors for patients with chondrosarcoma: A survival analysis based on the Surveillance, Epidemiology, and End Results (SEER) database (1973-2012)
    Nie Zhigang
    Qiang, Lu
    Hao, Peng
    [J]. JOURNAL OF BONE ONCOLOGY, 2018, 13 : 55 - 61
  • [8] Validation of the Social Security Administration Life Tables (2004-2014) in Localized Prostate Cancer Patients within the Surveillance, Epidemiology, and End Results database
    Preisser, Felix
    Bandini, Marco
    Mazzone, Elio
    Nazzani, Sebastiano
    Marchioni, Michele
    Tian, Zhe
    Saad, Fred
    Pompe, Raisa S.
    Shariat, Shahrokh F.
    Heinzer, Hans
    Montorsi, Francesco
    Huland, Hartwig
    Graefen, Markus
    Tilki, Derya
    Karakiewicz, Pierre, I
    [J]. EUROPEAN UROLOGY FOCUS, 2019, 5 (05): : 807 - 814
  • [9] Impact of nodal involvement on survival outcomes in chondrosarcoma: retrospective cohort analysis of Surveillance, Epidemiology, and End Results (SEER) database (2004-2015)
    Cranmer, Lee D.
    Chau, Bonny
    Thompson, Matthew J.
    Loggers, Elizabeth T.
    Pollack, Seth M.
    Wagner, Michael J.
    Kim, Teresa S.
    Kim, Edward Y.
    Kane, Gabrielle M.
    Pavey, Gabriel J.
    [J]. INTERNATIONAL JOURNAL OF SURGERY-ONCOLOGY, 2020, 5 (04):
  • [10] Prognostic Factors and Survival Outcomes in Squamous Cell Carcinoma of the Thyroid: A Surveillance, Epidemiology, and End Results (SEER) Database Analysis
    Iqbal, Asif
    Lee, Kue T.
    Yasinzai, Abdul Qahar Khan
    Li, Ziyang
    Wali, Agha
    Tareen, Bisma
    Khan, Israr
    Khan, Marjan
    Ullah, Asad
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (06)