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ZENODO
Dataset . 2025
Data sources: ZENODO
ZENODO
Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
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Tissue-specific anti-tumor NK cell subsets identified in colorectal cancer liver metastases express candidate therapeutic targets

Authors: Marzano, Paolo; Carriero, Roberta;

Tissue-specific anti-tumor NK cell subsets identified in colorectal cancer liver metastases express candidate therapeutic targets

Abstract

This record contains processed data related to article Tissue-specific anti-tumor NK cell subsets identified in colorectal cancer liver metastases express candidate therapeutic targets Abstract Liver metastases are relatively resistant to checkpoint blockade immunotherapy. The hepatic tissue has distinctive features including high numbers of NK cells. It was therefore important to conduct in depth single-cell analysis of NK cells in colorectal cancer liver metastases (CRLMs) with the effort to dissect their diversity and to identify candidate therapeutic targets. By combining unbiased single-cell transcriptomic with multiparametric flow cytometry analysis, we identified an abundant family of intrahepatic CD56Bright NK cells in CRLMs endowed with anti-tumor functions resulting from specific transcriptional liver programs. Intrahepatic CD56Bright and CD56Dim NK lymphocytes expressed unique transcription factors (IRF8, TOX2), high level of chemokines, and targetable immune checkpoints (ICs), including CXCR4 and the IL-1 receptor family member IL-1R8. CXCR4 pharmacological blocking and an anti-IL-1R8 mAb enhanced the effector function of CRLM NK cells. Targeting the diversity of liver NK cells and their distinct immune-checkpoint repertoires is key to optimize the current immune-therapy protocols in CRLM. Experimental design Single-cell RNA sequencing (scRNA-seq) was performed on samples collected from three colorectal-liver metastasis patients. For each patient, matched samples were obtained from invasive margin (IM, n = 3) and core-tumor adjacent tissue regions (peri-tumor, n = 3) of the liver tumor, as well as from peripheral blood (n = 3).scRNA-seq was performed on flow cytometry-sorted NK cells (Lin-CD56+, excluding CD3+ lymphocytes, myeloid and B cells), as well as on matched flow cytometry-sorted NK cells from PBMCs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research