An Oxidative Stress Index-Based Score for Prognostic Prediction in Colorectal Cancer Patients Undergoing Surgery

Author:

Cao Yinghao1,Deng Shenghe1,Yan Lizhao1,Gu Junnan1,Mao Fuwei1,Xue Yifan1,Zheng Changmin2,Yang Ming3,Liu Hongli4,Liu Li5,Liu Qian6ORCID,Cai Kailin1ORCID

Affiliation:

1. Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China

2. School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China

3. Department of Pathology, Union Hospital, Tongji Medical, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China

4. Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China

5. Department of Epidemiology and Biostatistics, the Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China

6. Department of Cardiology, Wuhan Women and Children Medical Care Center, Wuhan, Hubei 430022, China

Abstract

Oxidative stress plays an important role in the development of colorectal cancer (CRC). This study is aimed at developing and validating a novel scoring system, based on oxidative stress indexes, for prognostic prediction in CRC patients. A retrospective analysis of 1422 CRC patients who underwent surgical resection between January 2013 and December 2017 was performed. These patients were randomly assigned to the training set ( n = 1022 ) or the validation set ( n = 400 ). Cox regression model was used to analyze the laboratory parameters. The CRC-Integrated Oxidative Stress Score (CIOSS) was developed from albumin (ALB), direct bilirubin (DBIL), and blood urea nitrogen (BUN), which were significantly associated with survival in CRC patients. Furthermore, a survival nomogram was generated by combining the CIOSS with other beneficial clinical characteristics. The CIOSS generated was as follows: 0.074 × albumin (g/L), 0.094 × bilirubin (μmol/L), and - 0.099 × blood urea nitrogen (mmol/L), based on the multivariable Cox regression analysis. Using 50% (0.1025) and 85% (0.481) of CIOSS as cutoff values, three prognostically distinct groups were formed. Patients with high CIOSS experienced worse overall survival (OS) ( hazard ratio HR = 4.33 ; 95% confidence interval [CI], 2.80-6.68; P < 0.001 ) and worse disease-free survival (DFS) ( HR = 3.02 ; 95% CI, 1.96-4.64; P < 0.001 ) compared to those with low CIOSS. This predictive nomogram had good calibration and discrimination. ROC analyses showed that the CIOSS possessed excellent performance ( AUC = 0.818 ) in predicting DFS. The AUC of the OS nomogram based on CIOSS, TNM stage, T stage, and chemotherapy was 0.812, while that of the DFS nomogram based on CIOSS, T stage, and TNM stage was 0.855. Decision curve analysis showed that these two prediction models were clinically useful. CIOSS is a CRC-specific prognostic index based on the combination of available oxidative stress indexes. High CIOSS is a powerful indicator of poor prognosis. The CIOSS also showed better predictive performance compared to TNM stage in CRC patients.

Funder

Free innovation pre-research fund and platform scientific research fund in 2019

Publisher

Hindawi Limited

Subject

Cell Biology,Ageing,General Medicine,Biochemistry

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