This app is designed to empower researchers in the field of malignant mesothelioma to delve deep into the comprehensive multiplex immunofluorescence (mIF) dataset. Tailored to support investigation and analysis, the platform offers dynamic visualizations of both mIF and hematoxylin and eosin (H&E) images extracted from tumor samples. By integrating mIF images from tissue microarrays (TMAs) of samples collected from patients with malignant peritoneal and pleural mesothelioma (MPeM and MPM, respectively), the tool enables researchers to explore the spatial distributions of major immune cell populations within the tumor microenvironment. Furthermore, users can investigate the correlation between immune cell populations and key biomarkers such as LAG3, BAP1, NF2, and MTAP expression, providing valuable insights into the intricate interplay between immune responses and tumor biology. With its user-friendly interface and rich, interactive features, the Mesothelioma mIF Dataset Explorer facilitates hypothesis testing, enhances understanding of mesothelioma pathogenesis, and offers a platform for identifying potential novel therapeutic targets.

See owner's GitHub repository for more information: https://github.com/xim2016/MesotheliomaSpatialAtlas_repo

Ma, X., Lembersky, D., Kim, E. S., Bruno, T. C., Testa, J. R., & Osmanbeyoglu, H. U. (2023). Spatial landscape of malignant pleural and peritoneal mesothelioma tumor immune microenvironment. bioRxiv, 2023.09.06.556559. https://doi.org/10.1101/2023.09.06.556559

This application was not uploaded by the author, but through their publicly available Github repository, https://github.com/xim2016/MesotheliomaSpatialAtlas_repo.