Single-cell analysis reveals clonally expanded tumor-associated CD57+ CD8 T cells are enriched in the periphery of patients with metastatic urothelial cancer responding to PD-L1 blockade. Issue 8 (18th August 2022)
- Record Type:
- Journal Article
- Title:
- Single-cell analysis reveals clonally expanded tumor-associated CD57+ CD8 T cells are enriched in the periphery of patients with metastatic urothelial cancer responding to PD-L1 blockade. Issue 8 (18th August 2022)
- Main Title:
- Single-cell analysis reveals clonally expanded tumor-associated CD57+ CD8 T cells are enriched in the periphery of patients with metastatic urothelial cancer responding to PD-L1 blockade
- Authors:
- Fehlings, Michael
Kim, Leesun
Guan, Xiangnan
Yuen, Kobe
Tafazzol, Alireza
Sanjabi, Shomyseh
Zill, Oliver A
Rishipathak, Deepali
Wallace, Andrew
Nardin, Alessandra
Ma, Siming
Milojkovic, Ana
Newell, Evan W
Mariathasan, Sanjeev
Yadav, Mahesh - Abstract:
- Abstract : Background: A growing body of evidence suggests that T-cell responses against neoantigens are critical regulators of response to immune checkpoint blockade. We previously showed that circulating neoantigen-specific CD8 T cells in patients with lung cancer responding to anti-Programmed death-ligand 1 (PD-L1) (atezolizumab) exhibit a unique phenotype with high expression of CD57, CD244, and KLRG1. Here, we extended our analysis on neoantigen-specific CD8 T cells to patients with metastatic urothelial cancer (mUC) and further profiled total CD8 T cells to identify blood-based predictive biomarkers of response to atezolizumab. Methods: We identified tumor neoantigens from 20 patients with mUC and profiled their peripheral CD8 T cells using highly multiplexed combinatorial tetramer staining. Another set of patients with mUC treated with atezolizumab (n=30) or chemotherapy (n=40) were selected to profile peripheral CD8 T cells by mass cytometry. Using single-cell transcriptional analysis (single-cell RNA sequencing (scRNA-seq)), together with CITE-seq (cellular indexing of transcriptomes and epitopes by sequencing) and paired T-cell receptor (TCR) sequencing, we further characterized peripheral CD8 T cells in a subset of patients (n=16). Results: High frequency of CD57 was observed in neoantigen-specific CD8 T cells in patients with mUC responding to atezolizumab. Extending these findings to bulk CD8 T cells, we found higher frequency of CD57 expressing CD8 T cellsAbstract : Background: A growing body of evidence suggests that T-cell responses against neoantigens are critical regulators of response to immune checkpoint blockade. We previously showed that circulating neoantigen-specific CD8 T cells in patients with lung cancer responding to anti-Programmed death-ligand 1 (PD-L1) (atezolizumab) exhibit a unique phenotype with high expression of CD57, CD244, and KLRG1. Here, we extended our analysis on neoantigen-specific CD8 T cells to patients with metastatic urothelial cancer (mUC) and further profiled total CD8 T cells to identify blood-based predictive biomarkers of response to atezolizumab. Methods: We identified tumor neoantigens from 20 patients with mUC and profiled their peripheral CD8 T cells using highly multiplexed combinatorial tetramer staining. Another set of patients with mUC treated with atezolizumab (n=30) or chemotherapy (n=40) were selected to profile peripheral CD8 T cells by mass cytometry. Using single-cell transcriptional analysis (single-cell RNA sequencing (scRNA-seq)), together with CITE-seq (cellular indexing of transcriptomes and epitopes by sequencing) and paired T-cell receptor (TCR) sequencing, we further characterized peripheral CD8 T cells in a subset of patients (n=16). Results: High frequency of CD57 was observed in neoantigen-specific CD8 T cells in patients with mUC responding to atezolizumab. Extending these findings to bulk CD8 T cells, we found higher frequency of CD57 expressing CD8 T cells before treatment in patients responding to atezolizumab (n=20, p<0.01) but not to chemotherapy. These findings were corroborated in a validation cohort (n=30, p<0.01) and notably were independent of known biomarkers of response. scRNA-seq analysis identified a clonally expanded cluster enriched within CD57 + CD8 T cells in responding patients characterized by higher expression of genes associated with activation, cytotoxicity, and tissue-resident memory markers. Furthermore, compared with CD57 − CD8 T cells, TCRs of CD57 + CD8 T cells showed increased overlap with the TCR repertoire of tumor-infiltrating T cells. Conclusions: Collectively, we show high frequencies of CD57 among neoantigen-specific and bulk CD8 T cells in patients responding to atezolizumab. The TCR repertoire overlap between peripheral CD57 + CD8 T cells and tumor-infiltrating lymphocytes suggest that accumulation of peripheral CD57 + CD8 T cells is reflective of an ongoing antitumor T-cell response. Our findings provide evidence and rationale for using circulating CD8 T cells expressing CD57 as a readily accessible blood-based biomarker for selecting patients with mUC for atezolizumab therapy. … (more)
- Is Part Of:
- Journal for immunotherapy of cancer. Volume 10:Issue 8(2022)
- Journal:
- Journal for immunotherapy of cancer
- Issue:
- Volume 10:Issue 8(2022)
- Issue Display:
- Volume 10, Issue 8 (2022)
- Year:
- 2022
- Volume:
- 10
- Issue:
- 8
- Issue Sort Value:
- 2022-0010-0008-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-18
- Subjects:
- CD8-positive T-lymphocytes -- immunotherapy -- urinary bladder neoplasms -- receptors, antigen
Cancer -- Immunotherapy -- Periodicals
Cancer -- Immunological aspects -- Periodicals
Tumors -- Immunological aspects -- Periodicals
Immunotherapy -- Periodicals
616.99406105 - Journal URLs:
- http://www.immunotherapyofcancer.org ↗
https://jitc.bmj.com/ ↗
http://link.springer.com/ ↗ - DOI:
- 10.1136/jitc-2022-004759 ↗
- Languages:
- English
- ISSNs:
- 2051-1426
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23724.xml