Oncolytic virotherapy is an emerging cancer therapy using genetically modified viruses. We previously reported engineering of measles virus with BNiP3, a proapoptotic gene for oncolytic purposes. The recombinant virus had shown promising results in breast cancer cells with a bias towards TNBC, an invasive and an aggressive subtype. Here, we investigated the mechanistic insights of anti-tumor effects induced by the recombinant virus. Initially, TNBC and non-TNBC tumor cell lines were compared bioinformatically using the available gene expression data through protein-protein interaction network using different topological properties. Four hub genes involved in tumor development and progression were identified to be the top genes in both the data sets. Of which, CTNNB1 gene encoding beta-catenin was found to be the significant one; as beta-catenin pathway is known to be a driver of tumor cell invasion and migration, the impact of the virus on this pathway was investigated in breast tumor cells. The results had demonstrated a notable decrease in beta-catenin expression and its downstream targets, cyclin D1, MMP7 reducing the migration potential of TNBC cells following virus infection. These findings suggest that the recombinant measles virus could be one of the effective treatment modalities to target invasive TNBC tumors. In vivo validation of engineered virus is ongoing to explore the therapeutic application of this virus.
SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
arXiv:2604.15777v1 Announce Type: cross Abstract: Segmentation is a critical task in computational pathology, as it identifies areas affected by disease or abnormal growth and is


