Objective To examine the correlation between the expression of cellular-myelocytomatosis viral oncogene(c-MYC)and lymph node metastasis risk in colon cancer,develop a risk prediction model and evaluate its significance.Methods The medical records of 304 patients who underwent radical colon cancer surgery at the First Affiliated Hospital of Bengbu Medical University from January 2020 to December 2022 were collected.The patients were randomly divided into a model group and a validation group,each comprising 152 cases.We analyzed the factors influencing lymph node metastasis and identified the risk variables for input into the prediction model.The characteristics of colon cancer lymph node metastasis were then analyzed using an artificial intelligence system through deep learning.Finally,we assessed the effectiveness of the model.Results Univariate analysis showed that the neutrophil-to-lymphocyte ratio(NLR),c-MYC expression,tumor morphology,vascular cancer thrombus,tumor length,and tumor differentiation degree of 152 colon cancer patients in the model group were related to their lymph node metastasis.Further multivariate analysis identified the neutrophil-lymphocyte ratio,c-MYC expression,tumor morphology,vascular cancer thrombus,tumor length and diame-ter,and tumor differentiation degree as significant risk relevant variables for lymph node metastasis in colon cancer.The ROC curve based on the prediction model showed an AUC of 0.745(95％CI:0.712-0.803)in the validation group and 0.832(95％CI:0.796-0.875)in the model group,suggesting the effective predictive capability of the risk predic-tion model for lymph node metastasis in colon cancer patients.Conclusion The NLR,c-MYC expression,tumor mor-phology,vascular cancer thrombus,tumor length,and tumor differentiation were significant risk variables affecting lymph node metastasis in colon cancer.The risk prediction model constructed in this study demonstrates accurate identification of lymph node metastasis risk in colon cancer patients,holding promising clinical applications.
Colon cancerLymph node metastasisCellular-myelocytomatosis viral oncogenePrediction model
维普
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