CEBPB Drives Endometrial Hyperplasia to Cancer

Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer

It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in the risk diagnosis and prognosis of endometrial cancer (EC). Based on the deep learning convolutional neural network (CNN) architecture residual network with 101 layers (ResNet-101), spatial attention and channel attention modules were introduced to optimize the model. A retrospective collection of MRI image data from 210 EC patients was us…

CEBPB Drives Endometrial Hyperplasia to Cancer

In a groundbreaking study published in BMC Cancer, researchers have uncovered a pivotal molecular mechanism that drives the malignant transformation of endometrial complex atypical hyperplasia (CAH) into endometrial cancer (EC). This discovery centers on the transcription factor CCAAT/enhancer-binding protein beta (CEBPB), which appears to play a critical role in promoting disease progression from a precancerous state to full-blown malignancy. W…