Development and validation of a prognostic model for post-surgical overall survival in Asian colon cancer patients: a real-world population-based study
- Cheng Liu 1, Huaide Qiu 2, Junqiang Wang 3, Min Yang 3, Zhixiang Wang 4
- Cheng Liu 1, Huaide Qiu 2, Junqiang Wang 3
- 1Department of Rehabilitation Medicine, Yixing No.2 People's Hospital (Yixing Prevention and Treatment Hospital for Occupational Diseases), Yixing, Jiangsu, China.
- 2School of Rehabilitation Science, Nanjing Normal University of Special Education, Nanjing, China.
- 3Department of General Surgery, Yixing No.2 People's Hospital (Yixing Prevention and Treatment Hospital for Occupational Diseases), Yixing, Jiangsu, China.
- 4Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
- 0Department of Rehabilitation Medicine, Yixing No.2 People's Hospital (Yixing Prevention and Treatment Hospital for Occupational Diseases), Yixing, Jiangsu, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key factors like age, stage, and treatment affecting Asian colon cancer survival. A new prognostic nomogram model accurately predicts overall survival for personalized patient care.
Area Of Science
- Oncology
- Cancer Research
- Epidemiology
Background
- Colon cancer remains a significant health concern globally, particularly in Asian populations.
- Identifying reliable prognostic factors is crucial for effective patient management and treatment strategies.
Purpose Of The Study
- To determine the key factors influencing postoperative overall survival in Asian patients diagnosed with colon cancer.
- To develop and validate a prognostic nomogram model for predicting survival outcomes.
Main Methods
- Utilized data from the SEER database and an external cohort, including 8738 and 73 cases, respectively.
- Employed univariate and multivariate Cox regression analyses to identify prognostic factors.
- Developed a nomogram using R software and validated its accuracy and clinical utility using ROC curves, calibration plots, C-index, AUCs, and decision curve analysis.
Main Results
- Identified significant prognostic factors for overall survival: age, gender, marital status, histological type, grade, AJCC T/N/M stages, CEA levels, and chemotherapy.
- The nomogram demonstrated strong predictive accuracy with a C-index of 0.775 in the training set, 0.774 in the validation set, and 0.763 in the external cohort.
- The model exhibited good discrimination and clinical utility across all evaluated datasets.
Conclusions
- Established independent prognostic factors for postoperative overall survival in Asian colon cancer patients.
- The developed prognostic nomogram provides an accurate and individualized tool for clinicians to predict survival, aiding in treatment decisions.
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