A competing risk nomogram to predict cancer-specific mortality of patients with late-onset colorectal cancer

被引:1
|
作者
Liao, Zhixiao [1 ]
Deng, Yueyang [2 ]
Zhou, Jingxu [3 ]
Zhu, Jinli [4 ,5 ]
Xia, Rui [2 ]
机构
[1] Univ Tradit Chinese Med, Clin Med Coll Guangzhou 1, Guangzhou, Peoples R China
[2] Tianjin Canc Hosp, Intens Care Unit, Airport Hosp, Tianjin, Peoples R China
[3] Guangzhou Univ Tradit Chinese Med, Dept Oncol, Affiliated Hosp 1, Guangzhou, Peoples R China
[4] Tianjin Univ Tradit Chinese Med, Dept Oncol, Affiliated Hosp 1, Tianjin, Peoples R China
[5] Natl Clin Med Res Ctr Acupuncture Tradit Chinese M, Tianjin, Peoples R China
关键词
Early-onset colorectal cancer; Late-onset colorectal cancer; cancer-specific mortality; Competing risk model; Prognosis; Nomogram; SEER database; SURVIVAL;
D O I
10.1007/s00432-023-05069-3
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective This study aimed to compare the clinical characteristics and survival differences between early-onset colorectal cancer (EOCRC) patients and late-onset colorectal cancer (LOCRC) patients, identify the risk factors for cancer-specific mortality (CSM) in LOCRC patients and construct a mortality risk assessment nomogram. Methods CRC patients diagnosed pathologically between 2010 and 2019 in the SEER database were included and divided into the early-onset group and the late-onset group, and the late-onset group was divided into the training and validation sets. The Fine-Gray competing risk model was applied to analyze the prognostic factors of LOCRC patients and establish a competing risk nomogram for CSM. Results There are differences in the distribution of multiple clinical features between the early-onset group and the late-onset group. Age, tumor size, histological type, pathological grading, T stage, N stage, M stage, SEER stage, primary tumor surgery, metastatic lesion surgery, radiotherapy, chemotherapy, neural invasion, and carcinoembryonic antigen (CEA) were independent influencing factors of the CSM rate in LOCRC patients. The C-index of the prognosis model outweighed 0.8, and the calibration curves fitted the reference line well. Conclusion The CSM competing risk nomogram for LOCRC patients in this study had acceptable predictive performance that could be applied to the clinic.
引用
收藏
页码:14025 / 14033
页数:9
相关论文
共 50 条
  • [1] A competing risk nomogram to predict cancer-specific mortality of patients with late-onset colorectal cancer
    Zhixiao Liao
    Yueyang Deng
    Jingxu Zhou
    Jinli Zhu
    Rui Xia
    [J]. Journal of Cancer Research and Clinical Oncology, 2023, 149 : 14025 - 14033
  • [2] A nomogram to predict cancer-specific mortality in adult patients with malignant meningioma: a competing risk analysis
    Zhang, Hongfu
    Li, Jing
    Wan, Xin
    Liu, Zhuoyi
    [J]. DISCOVER ONCOLOGY, 2024, 15 (01)
  • [3] Nomogram predicting cancer-specific mortality in early-onset rectal cancer: a competing risk analysis
    Yufeng Wang
    Jiayuan Wu
    Hairong He
    Huan Ma
    Liren Hu
    Jiyu Wen
    Jun Lyu
    [J]. International Journal of Colorectal Disease, 2020, 35 : 795 - 804
  • [4] Nomogram predicting cancer-specific mortality in early-onset rectal cancer: a competing risk analysis
    Wang, Yufeng
    Wu, Jiayuan
    He, Hairong
    He, Huan
    Hu, Liren
    Wen, Jiyu
    Lyu, Jun
    [J]. INTERNATIONAL JOURNAL OF COLORECTAL DISEASE, 2020, 35 (05) : 795 - 804
  • [5] Competing risk nomogram predicting cancer-specific mortality for endometrial cancer patients treated with hysterectomy
    Xie, Guilan
    Qi, Cuifang
    Yang, Wenfang
    Wang, Ruiqi
    Yang, Liren
    Shang, Li
    Huang, Liyan
    Chung, Mei Chun
    [J]. CANCER MEDICINE, 2021, 10 (10): : 3205 - 3213
  • [6] Correction to: Nomogram predicting cancer-specific mortality in early-onset rectal cancer: a competing risk analysis
    Yufeng Wang
    Jiayuan Wu
    Hairong He
    Huan Ma
    Liren Hu
    Jiyu Wen
    Jun Lyu
    [J]. International Journal of Colorectal Disease, 2020, 35 : 1167 - 1168
  • [7] Nomogram predicting cancer-specific mortality in patients with esophageal adenocarcinoma: a competing risk analysis
    Wu, Xi-Xi
    Chen, Ren-Pin
    Chen, Rui-Cong
    Gong, Hong-Peng
    Wang, Bin-Feng
    Li, Ya-Ling
    Lin, Xin-Ran
    Huang, Zhi-Ming
    [J]. JOURNAL OF THORACIC DISEASE, 2019, 11 (07) : 2990 - +
  • [8] Predicting cancer-specific mortality in patients with parotid gland carcinoma by competing risk nomogram
    Luo, Xingxi
    Liu, Shun
    Chen, Yufeng
    Qiu, Xiaoqiang
    Huang, Dongping
    Zhang, Di
    Liang, Qiuli
    Yang, Yu
    Zeng, Xiaoyun
    [J]. HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2021, 43 (12): : 3888 - 3898
  • [9] Competing risk nomogram for predicting cancer-specific mortality in patients with non-melanoma skin cancer
    Tang, Lei
    Zhang, Le
    Zeng, Yi
    Li, Ye
    [J]. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (11) : 8817 - 8827
  • [10] Competing risk nomogram for predicting cancer-specific mortality in patients with non-melanoma skin cancer
    Lei Tang
    Le Zhang
    Yi Zeng
    Ye Li
    [J]. Journal of Cancer Research and Clinical Oncology, 2023, 149 : 8817 - 8827