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To support the research community in investigating our malignant mesothelioma multiplex immunofluorescence (mIF) dataset, we created the web resource providing interactive visualizations mIF and hematoxylin and eosin (H&E) images of tumor samples. More specifically, our interactive web resource includes mIF images from tissue microarrays (TMAs, n=3) of samples from patients with malignant peritoneal and pleural mesothelioma (MPeM and MPM, respectively) to elucidate the spatial distributions of major immune cell populations and their association with LAG3, BAP1, NF2, and MTAP expression, the latter as a proxy for CDKN2A/B. Our web resource provides unique and valuable data for testing hypotheses about malignant mesothelioma tumor immune microenvironment that could facilitate the understanding of pathogenesis and identify novel therapies. For the paper: Spatial landscape of malignant pleural and peritoneal mesothelioma tumor immune microenvironment Xiaojun Ma, David Lembersky, Elena S Kim, Tullia C Bruno, Joseph R. Testa, View ORCID ProfileHatice U Osmanbeyoglu doi: https://doi.org/10.1101/2023.09.06.556559

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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.

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Warning: Not intended for clinical use. Assume outputs are unsafe and unvalidated. Use carefully.


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