Related Experiment Video
Updated: Jan 13, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Prognostic Impact of Tumor Size in Patients with Stage T3N1 Colon Cancer
Ezgi Turkoglu1, Nisanur Sarıyar Busery1, Sedat Yildirim1
1Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, 34865 İstanbul, Türkiye.
Abstract:
Background/Objectives: Tumor size is not included in the TNM staging system for colon cancer, and its prognostic significance remains controversial. We aimed to evaluate the impact of tumor size on recurrence-free survival (RFS) and overall survival (OS) in patients with stage T3N1 colon cancer. Methods: We retrospectively analyzed 336 patients with pathologically confirmed pT3N1 colon cancer who underwent curative resection between January 2015 and January 2025 at our tertiary institution. Clinicopathological features, adjuvant chemotherapy details, and survival outcomes were collected. Tumor size was measured pathologically, and a cutoff was determined by receiver operating characteristic (ROC) analysis. Kaplan-Meier and Cox regression analyses were performed to identify prognostic factors. Results: The optimal cutoff for tumor size predicting recurrence was 4 cm. Patients with tumors ≥ 4 cm had significantly lower 5-year RFS compared to those with smaller tumors (65.1% vs. 80.3%, p = 0.007). In multivariate analysis, tumor size ≥ 4 cm (HR: 2.014, 95% CI: 1.093-3.714, p = 0.025), ECOG performance status ≥ 2 (p = 0.005), positive resection margin (p = 0.011), and failure to complete adjuvant chemotherapy (p = 0.007) were identified as independent adverse prognostic factors for RFS. Tumor size was not independently associated with OS (p = 0.46). Adjuvant chemotherapy significantly improved both RFS (p < 0.001) and OS (p < 0.001). Conclusions: In patients with stage T3N1 colon cancer, tumor size ≥ 4 cm is an independent adverse prognostic factor for RFS. Incorporating tumor size into risk stratification, alongside TNM staging and treatment completion status, may improve prognostic assessment and guide clinical decision-making.
More Related Videos
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
08:26Clinical Application of Single-Surgeon, Three-Port, Laparoscopic Resection for Colorectal Cancer with Natural Orifice Specimen Extraction
Published on: March 24, 2023
Related Concept Videos
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Cancer Survival Analysis