Machine learning based tissue analysis reveals Brachyury has a diagnosis value in breast cancer

Abstract

Background The aim of this study was to confirm the role of Brachyury in breast cancer and to verify whether four types of machine learning models can use Brachyury expression to predict the survival of patients.</p>  Methods We conducted a retrospective review of the medical records to obtain patient information, and made the patient's paraffin tissue into tissue chips for staining analysis. We selected 303 patients for research and implemented four machine learning algorithms, including multivariate logistic regression model, decision tree, artificial neural network and random forest, and compared the results of these models with each other. Area under the receiver operating characteristic (ROC) curve (AUC) was used to compare the results.</p>  Results The chi-square test results of relevant data suggested that the expression of Brachyury protein in cancer tissues was significantly higher than that in paracancerous tissues (p=0.0335); breast cancer patients with high Brachyury expression had a worse overall survival (OS) compared with patients with low Brachyury expression. We also found that Brachyury expression was associated with ER expression (p=0.0489). Subsequently, we used four machine learning models to verify the relationship between Brachyury expression and the survival of breast cancer patients. The results showed that the decision tree model had the best performance (AUC=0.781).</p>  Conclusions Brachyury is highly expressed in breast cancer and indicates that patients had a poor prognosis. Compared with conventional statistical methods, decision tree model shows superior performance in predicting the survival status of breast cancer patients.

AKT/FOXM1/STMN1 signaling pathway activation by SMC1A promotes tumor growth in breast cancer

“…According to our prior approach, immunohistochemistry was carried out as described previously 19 . In brief, tissue sections undergo deparaffinization and rehydration using xylene and ethanol.…”

“…According to our prior approach, immunohistochemistry was carried out as described previously. 19 In brief, tissue sections undergo deparaffinization and rehydration using xylene and ethanol. After antigen retrieval, endogenous peroxidase was blocked in 3% hydrogen peroxide solution.…”