Preoperative albumin to carcinoembryonic antigen ratio predicts clinicopathological features and survival in colorectal cancer: a prognostic nomogram study

Aim: This study examined the association between the preoperative albumin-to-carcinoembryonic antigen ratio (ACR) and clinicopathological characteristics in colorectal cancer (CRC) patients and developed and validated a prognostic model incorporating ACR for patient risk stratification. Methods: A retrospective analysis was performed on the clinical and pathological data of CRC patients who underwent radical surgery at Shanxi Province Cancer Hospital between January 2017 and December 2017. Patient follow-up was conducted, and the Cox proportional hazards model was employed to identify factors influencing overall survival (OS) and disease-free survival (DFS). Additionally, an ACR-based nomogram was developed and its predictive performance was assessed using the concordance index (C-index) and calibration curves. Comparative analyses with the traditional TNM staging system were performed using discriminant indices. Results: < 0.001) among patients with CRC. The ACR-based nomogram demonstrated superior predictive performance, with C-index values of 0.786 for OS and 0.772 for DFS, outperforming the traditional TNM staging system. Conclusion: Preoperative low ACR is significantly correlated with aggressive tumor characteristics and unfavorable prognosis in CRC patients. The ACR-based nomogram exhibits good predictive accuracy, offering a valuable tool for risk stratification in clinical practice.

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Journal
Frontiers in Oncology
Published
2026-04-14
DOI
https://doi.org/10.3389/fonc.2026.1785676
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
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article

Preoperative albumin to carcinoembryonic antigen ratio predicts clinicopathological features and survival in colorectal cancer: a prognostic nomogram study

Ting Sun, W X Wang, Xiaofang Zhang, Y Wang et al.
Frontiers in Oncology
Inflammatory Biomarkers in Disease Prognosis
article

Preoperative albumin to carcinoembryonic antigen ratio predicts clinicopathological features and survival in colorectal cancer: a prognostic nomogram study

Ting Sun, W X Wang, Xiaofang Zhang, Y Wang, Shangni Dang, Yanchun Shi
article en

Abstract

Aim: This study examined the association between the preoperative albumin-to-carcinoembryonic antigen ratio (ACR) and clinicopathological characteristics in colorectal cancer (CRC) patients and developed and validated a prognostic model incorporating ACR for patient risk stratification. Methods: A retrospective analysis was performed on the clinical and pathological data of CRC patients who underwent radical surgery at Shanxi Province Cancer Hospital between January 2017 and December 2017. Patient follow-up was conducted, and the Cox proportional hazards model was employed to identify factors influencing overall survival (OS) and disease-free survival (DFS). Additionally, an ACR-based nomogram was developed and its predictive performance was assessed using the concordance index (C-index) and calibration curves. Comparative analyses with the traditional TNM staging system were performed using discriminant indices. Results: < 0.001) among patients with CRC. The ACR-based nomogram demonstrated superior predictive performance, with C-index values of 0.786 for OS and 0.772 for DFS, outperforming the traditional TNM staging system. Conclusion: Preoperative low ACR is significantly correlated with aggressive tumor characteristics and unfavorable prognosis in CRC patients. The ACR-based nomogram exhibits good predictive accuracy, offering a valuable tool for risk stratification in clinical practice.

Frontiers in OncologyVol. 16
Shanxi Provincial Cancer Hospital (CN), Cancer Hospital of Chinese Academy of Medical Sciences (CN)
Reduced inequalities
Openalex Percentile: Top 26%
Inflammatory Biomarkers in Disease Prognosis
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Preoperative albumin to carcinoembryonic antigen ratio predicts clinicopathological features and survival in colorectal cancer: a prognostic nomogram study — Ting Sun, W X Wang, et al. · Frontiers in Oncology (2026) | TGRS Research Map | TGRS