Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade

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

Research output: Contribution to journalArticlepeer-review

Abstract

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-1low/mid 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.

Original languageEnglish (US)
Article numbereaba2609
JournalScience
Volume372
Issue number6547
DOIs
StatePublished - Jun 11 2021

ASJC Scopus subject areas

  • General

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