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| Nutrient composite index was constructed by principal component model to predict the prognosis of patients with
gastric cancer |
| 1Liu Yani,2Wang Lihong,3Chang Gongmin,3Xia Xiuling,2Sun Lulu,3Wang Kaijin |
| 1Department of Oncology Beijing Nuclear Industry Hospital Beijing 102413 China
2Department of Oncology Air Force Special
Medical Center Beijing 100142 China
3Department of Medical Oncology Beijing Jingxi Cancer Hospital Beijing 100161 China |
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Abstract Objective To explore the predictive efficacy of nutrient composite index based on principal component model for
prognosis of patients with gastric cancer. Method A total of 210 patients with gastric cancer who were treated by Beijing Nuclear
Industry Hospital from January 2019 to December 2020 and were followed up until December 2023 were selected as the study
objects. The patients were divided into poor prognosis group n = 57 and good prognosis group n = 153 according to whether there
was recurrence or distant metastasis or death within 3 years of postoperative follow-up. Baseline data gender age BMI smoking
history drinking history hypertension history diabetes history tumor size clinical stage differentiation degree preoperative lymph
node metastasis vascular invasion trace elements copper Cu zinc Zn iron Fe magnesium Mg selenium Se Cu / Zn
ratio were compared between the two groups. Spearman method was used to analyze the correlation between trace elements and
clinical characteristics of gastric cancer patients. Pearson method was used to analyze the correlation between the indexes of trace
elements. The parameters of nutrient composite index were constructed by principal component analysis and the AUC sensitivity and
specificity of nutrient composite index in predicting prognosis of patients with gastric cancer were analyzed by drawing receiver operating
characteristic ROC curve. Result The proportion of clinical stage Ⅲ low differentiation preoperative lymph node metastasis,vascular invasion and other baseline data Cu and Cu / Zn in the poor prognosis group were higher than those in the good prognosis
group while Zn Mg and Se were lower than those in the good prognosis group P < 0. 05 . There was no significant difference in Fe
between the two groups P > 0. 05 . Spearman correlation analysis showed that clinical stage differentiation degree preoperative
lymph node metastasis and vascular invasion were positively correlated with Cu and Cu / Zn and negatively correlated with Zn Mg and
Se P < 0. 05 . The results of principal component analysis showed that the weight coefficients of Zn Mg Se Cu / Zn and Cu were
all > 0. 1 suggesting that they had a great impact on the prognosis of patients with gastric cancer. ROC curve analysis results showed
that the AUC values of Cu Zn Mg Se Cu / Zn and composite index in predicting the prognosis of gastric cancer patients were 0. 637
0. 680 0. 739 0. 752 0. 769 0. 819. Conclusion In patients with poor prognosis of gastric cancer the abnormal expression of Cu
Zn Mg Se Cu / Zn and other nutrients indicates that their expression levels are affected by prognosis. Dynamic monitoring of
micronutrient changes is conducive to providing a reference for evaluating the prognosis of patients with gastric cancer
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