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Development and validation of a nomogram for predicting survival in Chinese han patients with resected colorectal cancer.

作者信息

Li Jiqing, Gu Jianhua, Ma Xiaotian, Li Xiao, Liu Xiaojuan, Kang Fengling, Xue Fuzhong

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, Shandong, China.

Department of Gastroenterology, Shandong Provincial Hospital, Jinan, Shandong, China.

出版信息

J Surg Oncol. 2018 Nov;118(6):1034-1041. doi: 10.1002/jso.25213. Epub 2018 Sep 9.


DOI:10.1002/jso.25213
PMID:30196534
Abstract

BACKGROUND: Estimates of survival after curative colorectal cancer (CRC) surgery are the basis of patient care and treatment planning. A nomogram is a useful tool for individualized cancer prognosis. METHODS: A total of 2450 patients with nonmetastatic CRC were included to develop a nomogram. Prognostic factors were identified and integrated by the Cox proportional hazards model. Then, we developed and validated a prognostic nomogram. The performance of this model was assessed by the concordance index (C-index) and a calibration curve. The nomogram was internally validated by bootstrapping and externally validated with a separate database of 299 patients from The Cancer Genome Atlas. RESULTS: Age, T stage, N stage, histological type, tumor location, lymph-vascular invasion, preoperative carcinoembryonic antigen, and sample lymph nodes were integrated into the nomogram. The C-index of the nomogram for predicting overall survival was higher than that of the seventh edition American Joint Committee on Cancer TNM staging system (training data set, 0.76 vs 0.68, respectively; P < 0.001; validation data set, 0.78 vs 0.69, respectively; P = 0.003). CONCLUSION: We developed a prognostic nomogram for patients with nonmetastatic CRC, which could provide a more individualized outcome prognostication than that afforded by the TNM staging system by using common clinicopathologic factors.

摘要

相似文献

[1]
Development and validation of a nomogram for predicting survival in Chinese han patients with resected colorectal cancer.

J Surg Oncol. 2018-11

[2]
A competing-risks nomogram for predicting probability of death from CRC in Chinese Han patients with Stage I-III CRC.

Jpn J Clin Oncol. 2018-12-1

[3]
Development and validation of a Super learner-based model for predicting survival in Chinese Han patients with resected colorectal cancer.

Jpn J Clin Oncol. 2020-9-28

[4]
Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer.

Biosci Rep. 2019-11-29

[5]
Development and validation of nomograms for predicting survival in patients with non-metastatic colorectal cancer.

Oncotarget. 2017-5-2

[6]
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J Clin Oncol. 2015-1-26

[7]
Development and validation of a nomogram to predict survival after curative resection of nonmetastatic colorectal cancer.

Cancer Med. 2020-6

[8]
Nomograms to predict survival after colorectal cancer resection without preoperative therapy.

BMC Cancer. 2016-8-19

[9]
Nomograms for predicting the prognosis of stage IV colorectal cancer after curative resection: a multicenter retrospective study.

Eur J Surg Oncol. 2015-4

[10]
A nomogram for predicting disease-specific survival after hepatic resection for metastatic colorectal cancer.

Ann Surg. 2008-2

引用本文的文献

[1]
Age, frequency, and strategy optimization for organized colorectal cancer screening: a decision analysis conducted in China for the years 2023-2038.

BMC Cancer. 2024-12-30

[2]
Development and validation of a novel nomogram to predict the risk of the prolonged postoperative length of stay for lumbar spinal stenosis patients.

BMC Musculoskelet Disord. 2023-9-2

[3]
Survival rate of colorectal cancer in China: A systematic review and meta-analysis.

Front Oncol. 2023-3-3

[4]
Development of a 3-MicroRNA Signature and Nomogram for Predicting the Survival of Patients with Uveal Melanoma Based on TCGA and GEO Databases.

J Ophthalmol. 2022-11-22

[5]
The Spectrum, Tendency and Predictive Value of Mutation in Chinese Colorectal Cancer Patients.

Front Oncol. 2021-3-26

[6]
Application of an Autophagy-Related Gene Prognostic Risk Model Based on TCGA Database in Cervical Cancer.

Front Genet. 2021-2-9

[7]
An Oxidative Stress Index-Based Score for Prognostic Prediction in Colorectal Cancer Patients Undergoing Surgery.

Oxid Med Cell Longev. 2021

[8]
Personalizing prognostic prediction in early-onset Colorectal Cancer.

J Cancer. 2020-9-25

[9]
A nomogram for preoperative prediction of lymphatic infiltration in colorectal cancer: A personalized approach to clinical decision making.

Medicine (Baltimore). 2019-12

[10]
Genome-Wide Identification of a Novel Autophagy-Related Signature for Colorectal Cancer.

Dose Response. 2019-12-11

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