Evidence mapPaperPMID 41849314Full record

ArticleACS biomaterials science & engineering2026

Quantifying the Dual Effect of Antitumor and Pro-Tumor Human Neutrophils on Natural Killer Cell Behaviors in a Microphysiological System.

Shuai Shao, Caroline N Jones

Abstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shuai ShaoDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID 0000-0002-7869-7990
Caroline N JonesDepartment of Bioengineering, The University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID 0000-0001-6003-9335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophils, the most abundant immune cells in humans, can promote the progression of many solid tumors. Neutrophils in solid tumor tissues can contribute to immunosuppression and resistance to immunotherapy partially by inhibiting the antitumor activity of natural killer (NK) cells, a group of innate immune cells known as the first line of defense against cancer. Studies in mice show that neutrophils are functionally plastic and can be polarized by molecular cues to show either an antitumor "N1" or a pro-tumor "N2" phenotype. However, the crosstalk between neutrophils and NK cells in human cancer is not well characterized, especially as to how different subtypes of neutrophils could influence NK cell behaviors differently. In this study, we engineered a human cell-based microphysiological system to quantify the distinct effects of antitumor N1-like and pro-tumor N2-like neutrophil subtypes on NK cell behaviors including migration and tumor cytotoxicity. We found that NK cells showed preferential migration toward N1-like neutrophils over N2-like neutrophils, although they showed lower motility in terms of speed, displacement, and directionality after migration toward N1-like neutrophils in comparison to N2-like neutrophils. Moreover, N1-like neutrophils restored the NK cell cytotoxicity against pancreatic tumor spheroids, while N2-like neutrophils suppressed it, although both neutrophil subtypes inhibited NK cell infiltration into tumor spheroids. Our study reveals the dual role of human neutrophils in modulating NK cell behaviors and sheds new light on the nuanced crosstalk between different immune cell types, suggesting the reprogramming of neutrophils to enhance the antitumor functions of NK cells as a potential immunotherapy strategy for cancer.

Indexed as

Killer Cells, NaturalNeoplasmsNeutrophilsCell Line, TumorCell MovementHumansMicrophysiological Systemscancercytotoxicitymicrophysiological systemsmigrationnatural killer cellsneutrophils

Identifiers

PMID41849314
PMCPMC13080770

What Socratic holds

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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 Socratic graph.