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Multiplexed single-cell analysis reveals prognostic and nonprognostic T cell types in human colorectal cancer
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
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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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 3

Distinct phenotypes of prognostic or nonprognostic CD8 T infiltrates in CRC.

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Distinct phenotypes of prognostic or nonprognostic CD8 T infiltrates in ...
(A) UMAP of 19,183 single CD8+ T cells in CRC and adjacent normal colon from a total of 16 patients with unsupervised clustering. Colored by cluster. Distinct clusters contain unstimulated T cells and stimulated T cells (left). Dot plot depicting relative expression of identifying marker genes for each nonstimulated cluster (right). (B) Pearson correlation map between each cluster in nonstimulated and stimulated cells, correlated based on 21 ADT signals. (C) Cells from tumor (red) or adjacent normal colon (blue) are indicated in the UMAP in A (left). Cells are colored based on TCR clone frequency (right), normalized to total number of T cells per patient sample. (D) Bar graph depicting clonal composition of T cells within each cluster. (E) Heatmap depicting average ADT signal in the CITE-Seq antibody panel within each nonstimulated cluster. (F) Distribution of cells within the clusters T_Tcyto1, T_Tcyto2, and T_Tex (in Figure 1B) plotted on the CD8 UMAP. (G) Pie charts depicting composition of cells within the clusters T_Tcyto1 or T_Tcyto2 as a proportion of CD8 clusters CD8_Tem, CD8_Temra, CD8_IEL, and CD8_Tex. (H) Dot plots of cells from each CD8 nonstimulated cluster by naive versus exhaustion score or cytotoxic versus exhaustion score. (I) Distinct differentiation pathways of CD8+ T cells based on cell trajectory (relate to Supplemental Figure 4, F and G). (J) Heatmap of ADT signals (as indicated) on the CD8 UMAP. (K) Gene heatmap of differentially expressed genes within Tex subpopulations (Tex1–Tex3) in I.

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