Spatial genomics reveals cholesterol metabolism as a key factor in colorectal cancer immunotherapy resistance
Andrew J. Kavran, Yulong Bai, Brian Rabe, Anna Kreshock, Andrew Fisher, Yelena Cheng, Anne Lewin, Chao Dai, Matthew J. Meyer, Konstantinos J. Mavrakis, Anna Lyubetskaya, Eugene Drokhlyansky

TL;DR
This study shows that high cholesterol levels in tumor cells are linked to resistance to immunotherapy in colorectal cancer.
Contribution
The paper introduces a spatial transcriptomics atlas revealing cholesterol metabolism as a novel resistance mechanism in immunotherapy.
Findings
High cholesterol synthesis in tumor cells correlates with poor immunotherapy response.
Spatial transcriptomics identified 8 tumor and 4 stroma cell subsets linked to treatment outcomes.
Bulk RNA-sequencing missed cholesterol-related resistance features detected by spatial methods.
Abstract
Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape across multiple cancer types achieving durable responses for a significant number of patients. Despite their success, many patients still fail to respond to ICIs or develop resistance soon after treatment. We sought to identify early treatment features associated with ICI outcome. We leveraged the MC38 syngeneic tumor model because it has variable response to ICI therapy driven by tumor intrinsic heterogeneity. ICI response was assessed based on the level of immune cell infiltration into the tumor – a well-established clinical hallmark of ICI response. We generated a spatial atlas of 48,636 transcriptome-wide spots across 16 tumors using spatial transcriptomics; given the tumors were difficult to profile, we developed an enhanced transcriptome capture protocol yielding high quality spatial data. In total, we…
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Taxonomy
TopicsCancer Immunotherapy and Biomarkers · Ferroptosis and cancer prognosis · Inflammatory mediators and NSAID effects
