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Multiplexed single-cell analysis reveals prognostic and nonprognostic T cell types in human colorectal cancer
Kazuya Masuda, … , Kelley S. Yan, Arnold Han
Kazuya Masuda, … , Kelley S. Yan, Arnold Han
Published February 22, 2022
Citation Information: JCI Insight. 2022;7(7):e154646. https://doi.org/10.1172/jci.insight.154646.
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Research Article Immunology

Multiplexed single-cell analysis reveals prognostic and nonprognostic T cell types in human colorectal cancer

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Abstract

Clinical outcomes in colorectal cancer (CRC) correlate with T cell infiltrates, but the specific contributions of heterogenous T cell types remain unclear. To investigate the diverse function of T cells in CRC, we profiled 37,931 T cells from tumors and adjacent normal colon of 16 patients with CRC with respect to transcriptome, TCR sequence, and cell surface markers. Our analysis identified phenotypically and functionally distinguishable effector T cell types. We employed single-cell gene signatures from these T cell subsets to query the TCGA database to assess their prognostic significance. We found 2 distinct cytotoxic T cell types. GZMK+KLRG1+ cytotoxic T cells were enriched in CRC patients with good outcomes. GNLY+CD103+ cytotoxic T cells with a dysfunctional phenotype were not associated with good outcomes, despite coexpression of CD39 and CD103, markers that denote tumor reactivity. We found 2 distinct Treg subtypes associated with opposite outcomes. While total Tregs were associated with good outcomes, CD38+ Tregs were associated with bad outcomes independently of stage and possessed a highly suppressive phenotype, suggesting that they inhibit antitumor immunity in CRC. These findings highlight the potential utility of these subpopulations in predicting outcomes and support the potential for novel therapies directed at CD38+ Tregs or CD8+CD103+ T cells.

Authors

Kazuya Masuda, Adam Kornberg, Jonathan Miller, Sijie Lin, Nathan Suek, Theo Botella, Kerim A. Secener, Alyssa M. Bacarella, Liang Cheng, Matthew Ingham, Vilma Rosario, Ahmed M. Al-Mazrou, Steven A. Lee-Kong, Ravi P. Kiran, Marlon Stoeckius, Peter Smibert, Armando Del Portillo, Paul E. Oberstein, Peter A. Sims, Kelley S. Yan, Arnold Han

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Figure 1

Characterization of T cells in CRC and normal adjacent colon by multiplexed scRNA-Seq.

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Characterization of T cells in CRC and normal adjacent colon by multiple...
(A) Workflow for preparation of multiplexed scRNA-Seq and TCR-Seq libraries using the 10× Genomics platform. (B) Uniform Manifold Approximation and Projection (UMAP) of 35,145 single T cells in CRC and adjacent normal colon from a total of 16 patients (left). Unsupervised clustering of single-cell transcriptomes was colored by each cluster. Dot plot depicting relative expression of identifying marker genes for clusters (right). (C) Heatmap of cytokines and effectors based on relative gene expression. (D) Heatmap depicting average ADT signal in the CITE-Seq antibody panel within each cluster. (E) UMAP showing distribution of single T cells within tumor (left) or adjacent normal colon (middle) colored by individual patients. Color and number of tumor-infiltrating T cells or normal cells from each patient are indicated in Supplemental Table 4. Cells are colored based on TCR clone frequency (right), normalized to total number of T cells per patient sample. (F) Bar graph depicting clonal composition of T cells within each cluster. (G) Bar graphs showing relative distribution of cells from each cluster (as indicated) within tumor (left) or normal adjacent colon (middle) of each patient, and proportion of cells within each cluster from total tumor or normal tissues (right).

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