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Risk and prognostic nomograms for colorectal neuroendocrine neoplasm with liver metastasis: a population-based study

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International Journal of Colorectal Disease Aims and scope Submit manuscript

Abstract

Purpose

Liver metastasis (LM) significantly shortens the survival time of colorectal neuroendocrine neoplasms (NENs) patients. This research aimed to explore risk and prognostic factors in colorectal NENs patients with LM and develop nomograms for predicting the risk of LM and survival probability quantitatively.

Methods

A total of 9926 colorectal NENs patients registered in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017 were included. Risk factors for LM in colorectal NENs patients were identified by multivariate logistic regression analysis. Potential prognostic factors for colorectal NENs patients with LM were identified by multivariable Cox regression analysis. Nomograms were constructed for quantifying the probability of LM occurrence and survival.

Results

At diagnosis, 8.7% of colorectal NENs patients suffered LM, with 1-, 3-, and 5-year cancer-specific survival (CSS) rates of 44.3%, 26.5%, and 18.0%, respectively. Factors associated with LM occurrence included gender, age at diagnosis, primary tumor location, carcinoembryonic antigen (CEA), histological differentiation, T stage, and N stage. Age at diagnosis, race, histological differentiation, N stage, tumor size, primary tumor location, primary site surgery, and extraliver metastasis were prognostic factors of cancer-specific mortality. The area under the receiver operating characteristics (ROC) curve of the nomogram for predicting LM was 0.888 (95% CI: 0.877–0.898), and the C-index of the nomogram for estimating CSS probability was 0.705 (95% CI: 0.682–0.729).

Conclusions

This research identified the risk and prognostic factors in colorectal NENs patients with LM. The nomograms constructed by this study can be convenient tools for facilitating clinical decision-making.

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Availability of data and material

The data we used can be downloaded from the SEER*Stat software (version 8.3.8; https://seer.cancer.gov/seerstat/)

Code availability

Not applicable.

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Acknowledgements

We thank the Surveillance, Epidemiology, and End Results (SEER) Program for providing the clinical data kindly.

Funding

This work was supported by the Natural Science Foundation Program of China Programs (81472740, 31701202, 81572866, and 81773104), the Frontier Exploration Program of Huazhong University of Science and Technology (2015TS153), the Integrated Innovative Team for Major Human Diseases Program of Tongji Medical College of HUST, and the Academic Medical Doctor Supporting Program of Tongji Medical College of HUST.

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Contributions

Xueliang Ding and Shaobo Tian: research design, conducting, data collection, interpretation and analysis, artworks drafting and manuscript, and paper writing. Jia Hu and Guobin Wang: work design and manuscript’s critical revision. Xiangnan Yu, Daan Fu, and Ye Yuan: technique assistance and data curation. Zheng Wang and Lin Wang: research design, results interpretation, paper writing, and critical revision of the manuscript. All the authors approved the final version and agreed to be accountable for all aspects of the work.

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Correspondence to Lin Wang or Zheng Wang.

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All the data used in this study were extracted from publicly available database, so this study was exempted by the Ethics Committee of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China.

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Ding, X., Tian, S., Hu, J. et al. Risk and prognostic nomograms for colorectal neuroendocrine neoplasm with liver metastasis: a population-based study. Int J Colorectal Dis 36, 1915–1927 (2021). https://doi.org/10.1007/s00384-021-03920-y

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