Vignesh Shanmugam, Neriman Tokcan, Daniel Chafamo, Sean Sullivan, Mehdi Borji, Haley Martin, Gail Newton, Naeem Nadaf, Saoirse Hanbury, Irving Barrera, Dylan Cable, Jackson A. Weir, Orr Ashenberg, Geraldine Pinkus, Scott Rodig, Caroline Uhler, Evan Z. Macosko, Margaret A. Shipp, Abner Louissaint, Fei Chen, TR Golub
A central challenge in cancer research is to identify the secreted factors that sustain tumor cell survival. This is best exemplified in Hodgkin lymphoma, where malignant cells constitute a minor fraction of the tumor and rely on signals from the microenvironment for survival. Using genome-wide transcriptional profiling with spatial and single-cell resolution, we show that the neighborhood around malignant cells forms a distinct niche of 31 non-malignant cell types, enriched in helper T cells and myeloid cells, but depleted of plasma cells. Moreover, our spatial analysis nominates IL13 as a candidate survival factor. Recombinant IL13 augments malignant cell growth in vitro, and genome-wide loss-of-function screens across >1000 human cancer cell lines identify IL4R and IL13RA1, heterodimeric components of the IL13 receptor, as uniquely essential in Hodgkin lymphoma. Importantly, blocking antibodies phenocopy genetic inactivation. Our findings provide a biological rationale for testing IL13-directed therapies, which are already FDA-approved, in Hodgkin lymphoma. Hodgkin Reed Sternberg (HRS) cells and their surrounding microenvironment in Hodgkin lymphoma remain poorly characterized. Here, the authors perform genome-wide transcriptional profiling with spatial and single-cell resolution to explore the cellular and molecular composition of the Hodgkin lymphoma microenvironment and used machine learning to identify IL13 as a potential HRS cell survival factor.