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Series GSE226962 Query DataSets for GSE226962
Status Public on Jan 05, 2024
Title Interferon-stimulated neutrophils identified in preclinical models may serve as a potential biomarker for immunotherapy response in human
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Despite the remarkable success of immunotherapy, only ~20-30% of cancer patients display an extended durable response. Pre-existing biomarkers for immunotherapy outcome are significantly limited in their predictive power. While mice are the most widely used and cost-effective model to study human disease, translating preclinical biomarkers into clinical practice faces significant obstacles – in part due to the lack of diverse or appropriate models. Here, to improve translatability and identify novel biomarkers, we showcase an approach encompassing several pre-clinical models - each capturing one possible mechanistic aspect of immunotherapy response, such as tumor- and host-dependency, in order to reflect the variability seen in human cancers. Using this approach, we identify interferon-stimulated, Ly6Ehi neutrophils as a pre-treatment, blood-borne biomarker for anti-PD1 response in mice. We subsequently validate this result in cohorts of immunotherapy-treated non-small cell lung cancer (NSCLC) and melanoma patients, where the abundance of Ly6Ehi neutrophils predicts anti-PD1 response and further validated these results using available datasets for other cancers. Moreover, we demonstrate that these cells sensitize otherwise resistant tumors to anti-PD1 therapy, in part by directly activating cytotoxic T cells and contributing to tumor cell killing, while operate upstream of T cells in the immunotherapy response. Collectively, our study identifies a new and functionally active biomarker to predict immunotherapy outcome with potential clinical relevance.
 
Overall design GR1+ myeloid cells were isolated from non-responding or responding 4T1, breast carcinoma murine tumors (5 mice pooled per sample) using magnetic beads and analyzed using scRNAseq.
 
Contributor(s) Cooper TJ, Shaked Y
Citation(s) 38181798
Submission date Mar 08, 2023
Last update date Feb 26, 2024
Contact name Timothy Jon Cooper
E-mail(s) timcooper@technion.ac.il
Organization name Technion – Israel Institute of Technology
Street address 1 Efron St.
City Haifa
ZIP/Postal code 3525422
Country Israel
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (2)
GSM7089057 Non-responding_Tumors, scRNA-seq
GSM7089058 Responding_Tumors, scRNA-seq
Relations
BioProject PRJNA942320

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Supplementary file Size Download File type/resource
GSE226962_RAW.tar 129.2 Mb (http)(custom) TAR (of LOOM, MTX, TSV)
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Raw data are available in SRA
Processed data provided as supplementary file

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