Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer

被引:2
|
作者
Fu, Jinming [1 ,2 ]
Du, Fenqi [3 ]
Tian, Tian [1 ]
Huang, Hao [1 ]
Zhang, Lei [1 ]
Li, Dapeng [1 ]
Liu, Yupeng [1 ]
Zhang, Ding [1 ]
Gao, Lijing [1 ]
Zheng, Ting [1 ]
Liu, Yanlong [3 ]
Zhao, Yashuang [1 ]
机构
[1] Harbin Med Univ, Coll Publ Hlth, Dept Epidemiol, 157 Baojian Rd, Harbin 150081, Heilongjiang, Peoples R China
[2] Xuzhou Med Univ, Sch Publ Hlth, Dept Biostat, Xuzhou 221004, Peoples R China
[3] Harbin Med Univ, Canc Hosp, Dept Colorectal Surg, 150 Haping Rd, Harbin 150081, Heilongjiang, Peoples R China
关键词
Colorectal cancer; Prognosis; Preoperative serum liver enzyme markers; De Ritis ratio; Nomograms; PREOPERATIVE ASPARTATE-AMINOTRANSFERASE; COLON-CANCER; LACTATE-DEHYDROGENASE; SURVIVAL; MARKER; RECURRENCE; HEPATITIS; CURVES; LDH;
D O I
10.1186/s12885-023-11125-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundMetabolic derangements and systemic inflammation are related to the progression of colorectal cancer (CRC) and the prognoses of these patients. The survival of stage II and III CRC patients existed considerable heterogeneity highlighting the urgent need for new prediction models. This study aimed to develop and validate prognostic nomograms based on preoperative serum liver enzyme as well as evaluate the clinical utility.MethodsA total of 4014 stage II/III primary CRC patients pathologically diagnosed from January 2007 to December 2013 were included in this study. These patients were randomly divided into a training set (n = 2409) and a testing set (n = 1605). Univariate and multivariate Cox analyses were used to select the independent factors for predicting overall survival (OS) and disease-free survival (DFS) of stage II/III CRC patients. Next, nomograms were constructed and validated to predict the OS and DFS of individual CRC patients. The clinical utility of nomograms, tumor-node-metastasis (TNM), and the American Joint Committee on Cancer (AJCC) system was evaluated using time-dependent ROC and decision curve analyses.ResultsAmong seven preoperative serum liver enzyme markers, aspartate aminotransferase-to-alanine aminotransferase ratio (De Ritis ratio) was identified as an independent factor for predicting both OS and DFS of stage II/III CRC patients. The nomograms incorporated De Ritis ratio and significant clinicopathological features achieved good accuracy in terms of OS and DFS prediction, with C-index of 0.715 and 0.692, respectively. The calibration curve showed good agreement between prediction by nomogram and actual observation. The results of time-dependent ROC and decision curve analyses suggested that the nomograms had improved discrimination and greater clinical benefits compared with TNM and AJCC staging.ConclusionsDe Ritis ratio was an independent predictor in predicting both the OS and DFS of patients with stage II/III CRC. Nomograms based on De Ritis ratio and clinicopathological features showed better clinical utility, which is expected to help clinicians develop appropriate individual treatment strategies for patients with stage II /III CRC.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer
    Jinming Fu
    Fenqi Du
    Tian Tian
    Hao Huang
    Lei Zhang
    Dapeng Li
    Yupeng Liu
    Ding Zhang
    Lijing Gao
    Ting Zheng
    Yanlong Liu
    Yashuang Zhao
    [J]. BMC Cancer, 23
  • [2] Development and Validation of a Prognostic Nine Gene Expression Signature for Stage II/III Colorectal Cancer Patients
    Cheng, Liang
    Wang, Lisha
    Shen, Xiaohan
    Ren, Fei
    Sheng, Weiqi
    Zhou, Xiaoyan
    Du, Xiang
    [J]. LABORATORY INVESTIGATION, 2016, 96 : 165A - 165A
  • [3] Development and Validation of a Prognostic Nine Gene Expression Signature for Stage II/III Colorectal Cancer Patients
    Cheng, Liang
    Wang, Lisha
    Shen, Xiaohan
    Ren, Fei
    Sheng, Weiqi
    Zhou, Xiaoyan
    Du, Xiang
    [J]. MODERN PATHOLOGY, 2016, 29 : 165A - 165A
  • [4] Development and validation of a novel miRNA classifier as a prognostic signature for stage II/III colorectal cancer
    Feng, Junlan
    Wei, Qing
    Yang, Muqing
    Wang, Xiaodong
    Liu, Bin
    Li, Jiyu
    [J]. ANNALS OF TRANSLATIONAL MEDICINE, 2021, 9 (09)
  • [5] Systematic validation of microRNA based prognostic biomarkers for stage II, III and IV colorectal cancer
    Ma, Dongling
    Xue, Yaqi
    Fesler, Andrew
    Zhai, Haiyan
    Yang, Jie
    Leamniramit, Apisri
    Li, Wenzhe
    Ju, Jingfang
    [J]. CANCER RESEARCH, 2016, 76
  • [6] Development and validation of risk and prognostic nomograms for bone metastases in advanced colorectal cancer patients
    Wang, N.
    [J]. ANNALS OF ONCOLOGY, 2020, 31 : S1278 - S1278
  • [7] Development and validation of prognostic nomograms for overall survival in patients with locally advanced colorectal cancer
    Nie, Huwei
    Zhang, Jie
    Ai, Yang
    Chen, Ailin
    Li, Yuxi
    Zhang, Lin
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2024, 87 : 308 - 318
  • [8] LYMPH NODE RATIO AS PROGNOSTIC FACTOR IN STAGE III COLORECTAL CANCER PATIENTS
    Elias, Elias
    Faraj, Walid
    Khalifeh, Mohammad
    El Oubeidi, Mohammad
    Hattoum, Hasan
    Melki, Christiane
    Dimassi, Hani
    Shamseddine, Ali
    [J]. ANNALS OF ONCOLOGY, 2011, 22 : v110 - v110
  • [9] Development and validation of a collagen signature to predict the prognosis of patients with stage II/III colorectal cancer
    Dong, Shumin
    Wang, Huaiming
    Ji, Hongli
    Hu, Yaowen
    Zhao, Shuhan
    Yan, Botao
    Wang, Guangxing
    Lin, Zexi
    Zhu, Weifeng
    Lu, Jianping
    Cheng, Jiaxin
    Wu, Zhida
    Zhu, Qiong
    Zhuo, Shuangmu
    Chen, Gang
    Yan, Jun
    [J]. ISCIENCE, 2023, 26 (05)
  • [10] Development and validation of risk and prognostic nomograms for bone metastases in Chinese advanced colorectal cancer patients
    Wang, Nan
    Liu, Fangqi
    Xi, Wenqi
    Jiang, Jinling
    Xu, Yun
    Guan, Bingjie
    Wu, Junwei
    Zhou, Chenfei
    Shi, Min
    Zhu, Zhenggang
    Xu, Ye
    Liu, Jing
    Zhang, Jun
    [J]. ANNALS OF TRANSLATIONAL MEDICINE, 2021, 9 (10)