Selection an Effective Drug Regimen on the Tumor Microenvironment of Non-invasive to Invasive Human Retinoblastoma

Abstract

Abstract Malignant retinoblastoma has a dismal prognosis for children under the age of 5, and we still don't understand what drives the growth of these tumors. The microenvironment of retinoblastoma cells can have a great impact on the metastasis of retinoblastoma. In this study, which was based on bioinformatics analysis, we evaluated the gene expression profile in non-invasive and invasive retinoblastoma using databases and Python programming. We investigated the signaling pathways, gene ontology, protein network and candidates for important drugs in the microenvironment of retinoblastoma. The results showed that hypoxia, TGFB, MAPK and metabolic pathways have an effect in this event. VTN, TF, TNF, VEGFA, UBC, SP1 and TGFB1 were observed as a hub proteins in tumor microenvironment. Then, indomethacin and daurobicin seleceted as a high significant drugs, relationship with invasive retinoblastoma microenvironment proteins. Finally, the evaluation of the microenvironment of retinoblastoma still needs further investigations, because this cancer, due to its difficult access to the tumor, can cause secondary tumors for children. Therefore, the use of strong and different drug regimens can have a better effect on the tumor microenvironment and reduce drug resistance.