Evidence map›Paper›PMID 39103915›Full record

ArticleJournal of translational medicine2024

Human esophageal cancer stem-like cells escape the cytotoxicity of natural killer cells via down-regulation of ULBP-1.

Bo Tang, Mengxing Guo, Yujia Zhai, Kai Zhang, Kaiyuan Ni, Yi Zhang, Lan Huang

Abstract read
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Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bo Tang *Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengxing Guo *Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yujia ZhaiBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kai ZhangBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kaiyuan NiBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yi ZhangBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. yizhang@zzu.edu.cn.
Lan HuangBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. lanhuang@zzu.edu.cn.ORCID 0000-0001-6556-4067

Funding

Medical Science and Technology Key Project of Henan Province, China SBGJ202302038National Natural Science Foundation of China 81773045National Natural Science Foundation of China 82172704
6 · The paper itself

Abstract

backgroundCancer stem-like cells (CSCs) play an important role in initiation and progression of aggressive cancers, including esophageal cancer. Natural killer (NK) cells are key effector lymphocytes of innate immunity that directly attack a wide variety of cancer cells. NK cell-based therapy may provide a new treatment option for targeting CSCs. In this study, we aimed to investigate the sensitivity of human esophageal CSCs to NK cell-mediated cytotoxicity.

methodsCSCs were enriched from human esophageal squamous cell carcinoma cell lines via sphere formation culture. Human NK cells were selectively expanded from the peripheral blood of healthy donors. qRT-PCR, flow cytometry and ELISA assays were performed to examine RNA expression and protein levels, respectively. CFSE-labeled target cells were co-cultured with human activated NK cells to detect the cytotoxicity of NK cells by flow cytometry.

resultsWe observed that esophageal CSCs were more resistant to NK cell-mediated cytotoxicity compared with adherent counterparts. Consistently, esophageal CSCs showed down-regulated expression of ULBP-1, a ligand for NK cells stimulatory receptor NKG2D. Knockdown of ULBP-1 resulted in significant inhibition of NK cell cytotoxicity against esophageal CSCs, whereas ULBP-1 overexpression led to the opposite effect. Finally, the pro-differentiation agent all-trans retinoic acid was found to enhance the sensitivity of esophageal CSCs to NK cell cytotoxicity.

conclusionsThis study reveals that esophageal CSCs are more resistant to NK cells through down-regulation of ULBP-1 and provides a promising approach to promote the activity of NK cells targeting esophageal CSCs.

Indexed as

Cytotoxicity, ImmunologicDown-RegulationEsophageal NeoplasmsKiller Cells, NaturalNeoplastic Stem CellsCell Line, TumorGene Expression Regulation, NeoplasticGPI-Linked ProteinsHumansIntracellular Signaling Peptides and ProteinsGPI-Linked ProteinsIntracellular Signaling Peptides and ProteinsULBP1 protein, humanAll-trans retinoic acidCancer stem-like cellsEsophageal cancerNK cellsULBP-1

Identifiers

PMID39103915
PMCPMC11301968

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.