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| Construction of a prediction model for postoperative recurrence and metastasis based on the temporal changes of serum
NT-3 CDH3 and PDHA1 in colorectal cancer |
| 1Li Ying, 1Song Zhigang, 2Dong Huaxing, 3Liu Shuai, 1Lian Yanjun |
| 1Department of Gastrointestinal Surgery Xingtai Central Hospital Xingtai 054000 Hebei China
2Department of Hepatobiliary
Surgery Xingtai Central Hospital Xingtai 054000 Hebei China
3Department of Emergency Medicine Xingtai Central Hospital
Xingtai 054000 Hebei China |
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Abstract Objective To investigate the temporal changes in serum neurotrophin-3 NT-3 cadherin-3 CDH3 and pyruvate
dehydrogenase E1α subunit PDHA1 after radical surgery in colorectal cancer CRC patients and to construct a dynamic multi-index
prediction model for postoperative recurrence and metastasis. Method A prospective cohort of 108 CRC patients who underwent radical
resection in the Department of Gastrointestinal Surgery from June 2021 to June 2022 was enrolled. Serum samples were collected
preoperatively and at 6 12 24 and 36 months postoperatively. Follow-up ended in June 2025. Recurrence and metastasis events
were recorded and prediction models were constructed. Result Dynamic monitoring of 108 postoperative CRC patients revealed that the
recurrence group had higher rates of vascular invasion and perineural invasion P < 0. 05 a higher proportion of TNM stage Ⅲ and ≥
3 lymph node metastases P = 0. 008 and elevated serum biomarker levels compared to the non-recurrence group NT-3 at 6 months
25. 30 ng / ml vs 21. 70 ng / ml P = 0. 018 and 12 months 30. 50 ng / ml vs 20. 80 ng / ml P = 0. 004 CDH3 at 12 months
22. 90 pg / ml vs 17. 50 pg / ml P = 0. 010 and PDHA1 at 12 months 11. 30 ng / L vs 8. 00 ng / L P = 0. 003 . Univariate analysis
confirmed that postoperative NT - 3 CDH3 and PDHA1 levels and clinical stage were independent predictors of recurrence. The
random survival forest model constructed based on these factors showed excellent predictive performance AUC = 0. 853 significantly
outperforming the traditional TNM staging model AUC = 0. 671 and the Cox model AUC = 0. 789 with strong clinical
utility. Conclusion The temporal dynamic changes in serum NT-3 CDH3 and PDHA1 can serve as effective predictive indicators for postoperative recurrence and metastasis in CRC. The RSF model incorporating multi - timepoint detection significantly improves
predictive accuracy.
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| Cite this article: |
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1Li Ying,1Song Zhigang,2Dong Huaxing, et al. Construction of a prediction model for postoperative recurrence and metastasis based on the temporal changes of serum
NT-3 CDH3 and PDHA1 in colorectal cancer[J]. Electron J Metab Nutr Cancer, 2025, 12(6): 805-813.
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| URL: |
| http://www.ejmnc.com//EN/ OR http://www.ejmnc.com//EN/Y2025/V12/I6/805 |
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