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Evaluating immunotherapeutic outcomes in triple-negative breast cancer with a cholesterol radiotracer in mice
Nicholas G. Ciavattone, … , Allen F. Brooks, Gary D. Luker
Nicholas G. Ciavattone, … , Allen F. Brooks, Gary D. Luker
Published March 19, 2024
Citation Information: JCI Insight. 2024;9(8):e175320. https://doi.org/10.1172/jci.insight.175320.
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Resource and Technical Advance Immunology Oncology

Evaluating immunotherapeutic outcomes in triple-negative breast cancer with a cholesterol radiotracer in mice

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Abstract

Evaluating the response to immune checkpoint inhibitors (ICIs) remains an unmet challenge in triple-negative breast cancer (TNBC). The requirement for cholesterol in the activation and function of T cells led us to hypothesize that quantifying cellular accumulation of this molecule could distinguish successful from ineffective checkpoint immunotherapy. To analyze accumulation of cholesterol by T cells in the immune microenvironment of breast cancer, we leveraged the PET radiotracer, eFNP-59. eFNP-59 is an analog of cholesterol that our group validated as an imaging biomarker for cholesterol uptake in preclinical models and initial human studies. In immunocompetent mouse models of TNBC, we found that elevated uptake of exogenous labeled cholesterol analogs functions as a marker for T cell activation. When comparing ICI-responsive and -nonresponsive tumors directly, uptake of fluorescent cholesterol and eFNP-59 increased in T cells from ICI-responsive tumors. We discovered that accumulation of cholesterol by T cells increased in ICI-responding tumors that received anti–PD-1 checkpoint immunotherapy. In patients with TNBC, tumors containing cycling T cells had features of cholesterol uptake and trafficking within those populations. These results suggest that uptake of exogenous cholesterol analogs by tumor-infiltrating T cells allows detection of T cell activation and has potential to assess the success of ICI therapy.

Authors

Nicholas G. Ciavattone, Nan Guan, Alex Farfel, Jenelle Stauff, Timothy Desmond, Benjamin L. Viglianti, Peter J.H. Scott, Allen F. Brooks, Gary D. Luker

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Figure 6

Cycling T cell populations in patients with TNBC upregulate genes related to cholesterol metabolism.

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Cycling T cell populations in patients with TNBC upregulate genes relate...
(A) Reanalysis of single-cell RNA sequencing data (29) with Cellenics software displays Louvain clusters of annotated T cell states, including custom cell sets derived from these clusters: T memory/resting, highly activated, T effector/transitional state, and T effector/dysfunctional. (B) Plot shows proportions of the absolute counts across for various T cell subsets across TNBC patients (n = 8429 cells from 9 tumors). (C) Clustered averaged gene expression data reveal upregulation of relevant genes involved in uptake and intracellular trafficking of cholesterol in cycling T cells. (D–I) Violin plots of normalized expression of specific genes: (D) ANXA2 (cholesterol distribution to the plasma membrane), (E) LAMTOR1 (endosomal transport), (F) STARD3NL (endosomal transport), (G) COMMD1 (LDLR recycling), (H) LDLR (cholesterol uptake), and (I) SREBF2 (positive regulation of cholesterol uptake and synthesis). The ⱡ symbol indicates P < 10–20 between the cycling cluster and other T cell clusters, as determined by Welch’s t test.

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