1.Efficacy Prediction Model for Neoadjuvant Chemotherapy on Breast Cancer Based on Differential Genes Expression
Mei LU ; Xiaojuan YANG ; Jieya ZOU ; Rong GUO ; Xin WANG ; Qian ZHANG ; Xuepeng DENG ; Jianfen TAO ; Jianyun NIE ; Zhuangqing YANG
Cancer Research on Prevention and Treatment 2021;48(12):1071-1077
Objective To screen out significant differential genes for predicting the effect of neoadjuvant chemotherapy (NAC) and select the most suitable breast cancer patients for NAC. Methods A total of 60 breast cancer patients' samples before and after NAC were collected for high-throughput RNA-Seq. We selected AHNAK, CIDEA, ADIPOQ and AKAP12 as the candidate genes that related to tumor chemotherapeutic resistance. We analyzed the correlation of AHNAK, CIDEA, ADIPOQ, AKAP12 expression levels with the effect of NAC by logistic regression analysis, constructed a prediction model and demonstrated the model by the nomogram. Results AHNAK, CIDEA, ADIPOQ and AKAP12 expression were up-regulated in the residual tumor tissues of non-pCR group after NAC(