The invention provides an innovative model based on the correlation between the PLEKHA4
gene expression level and the low-grade
glioma radiotherapy sensitivity and a prediction method. According to the model, a multi-factor
Logistic regression analysis framework is constructed, and the PLEKHA4
gene expression level and key clinical
pathological parameters are organically combined, so that a radiotherapy sensitivity prediction model is established. The method comprises a series of steps of
sample collection,
gene expression detection,
clinical information collection, model calculation, result interpretation and the like, and can realize accurate prediction of radiotherapy response of low-grade
glioma patients. Compared with the prior art, the method has the remarkable advantages of simplicity and convenience in operation, high prediction accuracy, high clinical transformability and the like. The method has great potential in the aspect of guiding individualized radiotherapy scheme formulation, can significantly improve the
treatment effect, and has important value for medical application. Besides, the model can be optimized through further clinical
verification, so that clinical practice can be better served, and the
life quality and prognosis effect of patients are improved.