Construction and Evaluation of Metastatic Risk Model in Left and Right Colorectal Cancer

GE Yizhi; XU Yan; CHEN Xiaojun; GU Xiang

doi:10.3971/j.issn.1000-8578.2022.21.1481

Cancer Research on Prevention and Treatment > 2022 > 49(9): 931-936. > DOI: 10.3971/j.issn.1000-8578.2022.21.1481

GE Yizhi, XU Yan, CHEN Xiaojun, GU Xiang. Construction and Evaluation of Metastatic Risk Model in Left and Right Colorectal Cancer[J]. Cancer Research on Prevention and Treatment, 2022, 49(9): 931-936. DOI: 10.3971/j.issn.1000-8578.2022.21.1481

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Construction and Evaluation of Metastatic Risk Model in Left and Right Colorectal Cancer

1.
Department of Radiation Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 225000, China
2.
Department of Oncology, Northern Jiangsu People's Hospital, Yangzhou 225001, China
3.
Department of Oncology, Jiangdu People's Hospital of Yangzhou, Yangzhou 225200, China

Funding:

Science and Technology Development Fund of Jiangsu Cancer Hospital ZM202022

More Information

Received Date: December 19, 2021
Revised Date: April 22, 2022
Available Online: January 12, 2024

Graphical Abstract

Abstract

Abstract

Objective
To identify the influence factors and construct a predicted model for liver, lung, bone, or brain metastasis among patients with left or right colorectal cancer.
Methods
Patients with colorectal cancer with information on liver, lung, bone, and brain metastasis were retrospectively filtered and analyzed from 2010 to 2018 from the SEER database. These patients were divided into three groups based on their primary tumor location. Multivariate logistic regression analysis was conducted to identify the influence factors on metastasis. A nomogram that could predict metastasis was established and further validated by the AUC of ROC curves.
Results
A total of 49335 eligible patients were chosen from the SEER database. N stage and CEA were identified as risk factors for all metastases, which were unrelated to primary tumor location. By contrast, race had varying effects on liver metastasis between different groups (P < 0.05). The nomogram model predicting liver metastasis was successfully established, and the AUCs based on the three groups were 0.821 (95%CI: 0.813-0.830), 0.841 (95%CI: 0.833-0.848), and 0.796 (95%CI: 0.782-0.811), respectively.
Conclusion
The influence factors and predictive models on liver metastasis were different in patients with colorectal cancer and different primary tumor locations.
- Colorectal cancer,
- Primary tumor location,
- Influence factor,
- Metastasis,
- Predicted model

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Competing interests: The authors declare that they have no competing interests.

References (22)

References

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Construction and Evaluation of Metastatic Risk Model in Left and Right Colorectal Cancer