Clinical oncology (Royal College of Radiologists (Great Britain)) · 2025
Construction and Validation of a Nomogram for Postoperative Survival Prognosis in Gastric Cancer Patients Based on miR-139, Nuclear Factor Erythroid2-Related Factor 2, and miR-7.
СтатьяВалидационное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Meng T, Fang X, Zhang L, Hou D, Zhang Q, Zuo Z, Zhu S
Аннотация
AIM: To explore the relationship among the expression levels of miR-139, nuclear factor erythroid2-related factor 2 (NRF2) and miR-7 and postoperative survival in patients with gastric cancer, and to construct a nomogram prediction model.
MATERIALS AND METHODS: The expression levels of miR-139 and miR-7 were detected using real-time fluorescence quantitative polymerase chain reaction (PCR), while NRF2 expression was assessed by immunohistochemistry. The associations between these biomarkers and clinicopathological features as well as postoperative survival were analyzed. Multivariate cox regression analysis was used to identify independent prognostic factors, and a nomogram prediction model was constructed.
RESULTS: There were statistically significant differences in tumour diameter, tumour differentiation, infiltration depth, lymph node metastasis, TNM staging, miR-139 level, NRF2 score, and miR-7 level between survival group and death group (P < 0.05). The multivariate Cox regression analysis showed that lymph node metastasis, TNM stage, and miR-139 were independent risk factors, while NRF2 and miR-7 were independent protective factors. The nomogram prediction model achieved an area under the curve (AUC) of 0.959 (95% CI: 0.933-0.985) in predicting postoperative survival factors in gastric cancer patients. The results of calibration chart clearly show that the predicted values of the model are highly consistent with the actual observed values, and its C-index value is 0.959. In addition, the results of decision curve analysis (DCA) further verified the good practicability of the model in clinical application.
CONCLUSION: miR-139, NRF2, and miR-7 are independent influencing factors on postoperative survival of patients with gastric cancer. Based on this, the nomogram prediction model shows good prediction performance in patients with gastric cancer.
MATERIALS AND METHODS: The expression levels of miR-139 and miR-7 were detected using real-time fluorescence quantitative polymerase chain reaction (PCR), while NRF2 expression was assessed by immunohistochemistry. The associations between these biomarkers and clinicopathological features as well as postoperative survival were analyzed. Multivariate cox regression analysis was used to identify independent prognostic factors, and a nomogram prediction model was constructed.
RESULTS: There were statistically significant differences in tumour diameter, tumour differentiation, infiltration depth, lymph node metastasis, TNM staging, miR-139 level, NRF2 score, and miR-7 level between survival group and death group (P < 0.05). The multivariate Cox regression analysis showed that lymph node metastasis, TNM stage, and miR-139 were independent risk factors, while NRF2 and miR-7 were independent protective factors. The nomogram prediction model achieved an area under the curve (AUC) of 0.959 (95% CI: 0.933-0.985) in predicting postoperative survival factors in gastric cancer patients. The results of calibration chart clearly show that the predicted values of the model are highly consistent with the actual observed values, and its C-index value is 0.959. In addition, the results of decision curve analysis (DCA) further verified the good practicability of the model in clinical application.
CONCLUSION: miR-139, NRF2, and miR-7 are independent influencing factors on postoperative survival of patients with gastric cancer. Based on this, the nomogram prediction model shows good prediction performance in patients with gastric cancer.