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  • Analysis of multispectral i...
    Berry, Sneha; Giraldo, Nicolas A; Green, Benjamin F; Cottrell, Tricia R; Stein, Julie E; Engle, Elizabeth L; Xu, Haiying; Ogurtsova, Aleksandra; Roberts, Charles; Wang, Daphne; Nguyen, Peter; Zhu, Qingfeng; Soto-Diaz, Sigfredo; Loyola, Jose; Sander, Inbal B; Wong, Pok Fai; Jessel, Shlomit; Doyle, Joshua; Signer, Danielle; Wilton, Richard; Roskes, Jeffrey S; Eminizer, Margaret; Park, Seyoun; Sunshine, Joel C; Jaffee, Elizabeth M; Baras, Alexander; De Marzo, Angelo M; Topalian, Suzanne L; Kluger, Harriet; Cope, Leslie; Lipson, Evan J; Danilova, Ludmila; Anders, Robert A; Rimm, David L; Pardoll, Drew M; Szalay, Alexander S; Taube, Janis M

    Science (American Association for the Advancement of Science), 06/2021, Letnik: 372, Številka: 6547
    Journal Article

    Next-generation tissue-based biomarkers for immunotherapy will likely include the simultaneous analysis of multiple cell types and their spatial interactions, as well as distinct expression patterns of immunoregulatory molecules. Here, we introduce a comprehensive platform for multispectral imaging and mapping of multiple parameters in tumor tissue sections with high-fidelity single-cell resolution. Image analysis and data handling components were drawn from the field of astronomy. Using this "AstroPath" whole-slide platform and only six markers, we identified key features in pretreatment melanoma specimens that predicted response to anti-programmed cell death-1 (PD-1)-based therapy, including CD163 PD-L1 myeloid cells and CD8 FoxP3 PD-1 T cells. These features were combined to stratify long-term survival after anti-PD-1 blockade. This signature was validated in an independent cohort of patients with melanoma from a different institution.