🧵 (1/8) Today, @BenOberlton and I are excited to share the preprint of our work on: A comprehensive multi-omic study of human gliomas, spanning diagnosis, treatment, and recurrence. We address the longstanding challenge of developing effective therapies for gliomas, which have

(8/8) All this work would not have been possible without all the amazing people at @Bendall_Lab and @MikeAngeloLab and our collaborators. Mikaela Ribi, Ke Leow @JoleneRanek @Inna_Averbukh @meeladamouzgar @CandaceCLiu @NoahGreenwald Erin McCaffrey @rashmikumar559 Albert Tsai.

(7/8) Open source spatial multi-omics of human gliomas: We have made everything in this study freely available through the BRUCE data portal–a user-friendly web resource for quantitative analysis and.visual data exploration of all extracted features and multiparameter imaging.

(6/8) GBM survival is correlated with TME immune response: Using random forest classifiers that integrated all three modalities, we found TME glycans were the most significant spatial class for distinguishing tumor grade, while immune transcriptional pathways were the most

(5/8) TME N-glycosylation robustly encodes tumor grade: We carried out the first cohort-level spatial analysis of the tumor N-glycome to understand how this ubiquitous post-translational modification is involved in glioma pathology. We found TME glycan composition to tightly

(4/8) Tumor microenvironment (TME) structure encodes recurrence and therapeutic response: In previous work, we showed that TME spatial organization predicts clinical outcomes in breast cancer. Here, we found similar TME shifts between primary and recurrent gliomas, reflecting

(3/8) A clinical normogram for drug targetable tumor antigens: We conducted the first quantitative coexpression analysis of tumor antigens (TA) in gliomas, revealing that most tumors have <50% TA-positive cells, potentially explaining inconsistent therapy outcomes. However,

(2/8) Despite major efforts, key gaps remain in our.understanding of targetable antigens, the impact of checkpoint blockade on tumor-immune dynamics, and.how glycosylation shapes disease progression. In a multicenter collaboration between @Stanford, @UCLA, @UCSF, @ChildrensPhila

RT @JoleneRanek: Super excited to introduce QUICHE (Quantitative InterCellular Niche Enrichment) - a statistical method that can be used to….

RT @NoahGreenwald: I’m super excited to share what I’ve been working on for the last (many) years: a spatial + genomic + transcriptomic cha….

RT @favaropb: I am thrilled to share my preprint with @Bendall_Lab that includes a new and comprehensive phenotypic atlas of human hematopo….

RT @MikeAngeloLab: Save the Date! Please join us in August for our 2nd Annual Spatial Biology Workshop! @_hubmap @ncihtan #spatialbiology….

RT @MikeAngeloLab: Our new @_hubmap study examining how the maternal fetal interface is established in human pregnancy is out! Big effort l….

RT @Dunja_Mrdjen: Thrilled to share the preprint from my postdoc work in the @Bendall_Lab with @MikeAngeloLab and Thomas Montine at @Stanfo….

RT @SpaceX: Watch Starship’s first integrated flight test →

RT @NoahGreenwald: Excited to announce our first ever MIBI workshop! We'll be talking about the new tools our lab has developed for generat….

RT @CandaceCLiu: Excited to share the latest preprint with @MikeAngeloLab! While imaging studies often focus on cell objects, images captur….

🔥.

RT @CandaceCLiu: Excited to share our new review about all things MIBI, out in @AnnualReviews! As multiplexed imaging technology has advanc….

RT @TyRisom: Out today on the cover of @Cellcellpress! We created the first high-dimensional spatial atlas of breast cancer progression to….