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Updated: Oct 11, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Clinical significance of mucinous component in colorectal adenocarcinoma: a propensity score-matched study
Chuanwang Yan1, Hui Yang2, Lili Chen3
1Department of General Surgery, Shandong Provincial Qianfoshan Hospital, Weifang Medical University, Key Laboratory of Metabolism and Gastrointestinal Tumor, the First Affiliated Hospital of Shandong First Medical University, Key Laboratory of Laparoscopic Technology, the First Affiliated Hospital of Shandong First Medical University, Shandong Medicine and Health Key Laboratory of General Surgery, Weifang, 261000, Shandong, China.
Background:
This study aims to investigate the clinical significance and prognostic value of mucinous component (MC) in colorectal adenocarcinoma (AC).
Methods:
Patients with colorectal AC and AC with MC (ACMC) (1-100%) underwent surgical resection between January 2007 and February 2018 were retrospectively reviewed. Propensity score matching (PSM) was performed according to a 1:1 ratio. Receiver-operating characteristic (ROC) curve was used to identify the optimal cut-off value of MC ratio for prognostic prediction. The clinicopathological features and 3-year overall survival (OS) of AC patients, mucinous adenocarcinoma (MAC) (MC > 50%) patients, and ACMC (1-50%) patients were compared before and after matching. Multivariable analysis was used for analyzing independent risk factors related to prognosis.
Results:
A total of 532 patients were enrolled in this study. Patients with AC, MAC, and ACMC (1-50%) exhibited different clinicopathological features. However, their 3-year OS rates were similar (82.00% vs. 74.11% vs. 81.48%, P = 0.38). After matching, ROC curve determined 70% as the optimal cut-off value. And patients with ACMC > 70% had a much poorer 3-year OS compared with ACMC (1-70%) patients and AC patients (47.37% vs. 86.15% vs. 79.76%, P < 0.001). In addition, ACMC > 70% was revealed as a risk factor for poor survival in univariate analysis (HR = 1.643, 95%CI = 1.025-2.635, P = 0.039), though not an independent risk factor in multivariable analysis (HR = 1.550, 95%CI = 0.958-2.507, P = 0.074).
Conclusions:
MAC is usually diagnosed at an advanced stage. MAC has a similar survival with AC and ACMC (1-50%) patients before and after matching. Patients with ACMC > 70% exhibited a much poorer OS, and should be given more clinical attention.

