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Series GSE190202 Query DataSets for GSE190202
Status Public on Feb 23, 2022
Title Tumor infiltrating exhausted CD8+ T cells dictate divergent survival outcomes in pre- versus post-menopausal estrogen receptor-positive breast cancer
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary CD8+ tumor infiltrating lymphocytes (TILs) are associated with improved survival in triple negative breast cancer (TNBC), yet have no association with survival in estrogen receptor-positive (ER+) BC. The basis for these contrasting findings remains elusive. We identify subsets of BC tumors infiltrated by CD8+ T cells with characteristic features of exhausted T cells (TEX). Tumors with abundant CD8+ TEX exhibit a distinct tumor microenvironment marked by amplified interferon-γ signaling related pathways and higher PD-L1 expression. Paradoxically, high levels of CD8+ TEX TILs associate with decreased overall survival ER+ BC patients, but not TNBC patients. Moreover, high tumor expression of a CD8+ TEX signature identifies dramatically reduced survival in pre-menopausal, but not post-menopausal, ER+ BC patients. Finally, we demonstrate the value of a tumor TEX signature score in identifying high-risk pre-menopausal ER+ BC patients amongst those with intermediate Oncotype Dx breast recurrence scores. Our data highlight the complex relationship between CD8+ TILs, interferon-γ signaling, and estrogen receptor status in BC patient survival. This work identifies pre-menopausal ER+ BC patients with high levels of tumor infiltrating CD8+ TEX as a high-risk subset that may benefit from immunotherapy strategies.
 
Overall design We employed single cell sequencing of patient CD8+ T cells from 10 different BC patients, including 9 primary tumors, 2 T+LNs, 3 NCBTs, and 7 matched PBMCs samples. CD8+ T cells stained for PD-1, CD39, CD103, CD69, CD137, and CCR7 were single cell index sorted for downstream whole transcriptome analysis. Unbiased Seurat cluster analysis found CD8+ T cells to be composed of four major clusters with discrete gene expression patterns.
 
Contributor(s) Guo W, Egelston CA, Lee PP
Citation(s) 35132960
Submission date Dec 05, 2021
Last update date Mar 21, 2022
Contact name Peter P Lee
E-mail(s) plee@coh.org
Phone 6262182519
Organization name Beckman Research Institute at City of Hope
Department Immuno-Oncology
Street address 1500 E. Duarte Rd.
City Duarte
State/province CA
ZIP/Postal code 91010
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (19)
GSM5718013 BC331_PBMC
GSM5718014 BC341_PBMC_Tumor
GSM5718015 BC331_Normal
Relations
BioProject PRJNA786331

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE190202_imputed_count.csv.gz 5.0 Mb (ftp)(http) CSV
GSE190202_meta_data.txt.gz 10.9 Kb (ftp)(http) TXT
GSE190202_raw_count.txt.gz 2.5 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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