Construction and validation of a clinicopathologic signature for predicting the prognosis of stage II and III colorectal cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background Various clinical and pathological indicators affect the prognosis of stage II and III colorectal cancer (CRC). Nevertheless, few studies have systematically integrated these indicators to construct a signature for assessing the prognostic risk. Methods Patients with stage II-III CRC who underwent R0 radical resection from 2009 to 2016 were included in this study. All clinical and follow-up data were collected. Our study mainly incorporated an internal training cohort and an external validation cohort from two centers. Data processing and data analysis were performed in the R language. Cox proportional hazard regression was used for univariate and multivariable analyses. The log-rank test was performed to compare prognosis among groups. Findings A total of 1200 eligible patients were included in our study. 8 variables, including T, N stage, lymphatic/vascular infiltration, preoperative CEA, CA125, and CA199, were included and the nomogram was established in the signature for predicting OS. The concordance index of the signature was 0.72. The 3-year and 5-year calibration curves of CRC based on the nomogram showed a perfect correlation between predicted and observed outcomes. Obvious differences were observed in the survival of different risk groups (p < 0.001). Patients with a low-risk score signature had a 5-year OS rate of 77%, whereas patients with a high-risk score signature had the worst 5-year OS rate (only 8%). Furthermore, our signature also achieved similar performance in external cohort validation. Interpretation The signature based on clinical and pathologic factors had favorable accuracy for predicting the prognosis of stage II and III CRC. Therefore, our signature could identify high-risk patients with stage II and III CRC to guide adjuvant therapy and follow-up.
Authors: Weiqiang You, Zerong Cai, Nengquan Sheng, Li Yan, Huihui Wan, Yongkun Wang, Jian Ouyang, Lu Xie, Xiaojian Wu, Zhigang Wang
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,250
Awards: 具有特殊药理活性黄酮木脂素及其衍生物的合成研究, G7231922797
OpenAlex ID: W4407631548
