Evidence map›Paper›PMID 40590753›Full record

ArticleOncoimmunology2025

Uncovering common transcriptional features shared by mature peripheral blood PMN-MDSCs and tumor-infiltrating neutrophils in humans.

Chiara Lattanzi, Francisco Bianchetto-Aguilera, Marta Donini, Francesca Pettinella, Elena Caveggion, Monica Castellucci, Sara Gasperini, Barbara Mariotti, Ilaria Signoretto, Maurizio Cantini and 8 more

Abstract read
In one paragraph

Article in Oncoimmunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

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

18 authors.

Chiara LattanziDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Francisco Bianchetto-AguileraDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Marta DoniniDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Francesca PettinellaDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Elena CaveggionDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Monica CastellucciCentro Piattaforme Tecnologiche, University of Verona, Verona, Italy.
Sara GasperiniDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Barbara MariottiDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Ilaria SignorettoDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Maurizio CantiniTransfusion Medicine Department, University and Hospital Trust (AOUI), Verona, Italy.
Sara PilottoSection of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona, Verona, Italy.
Lorenzo BelluominiSection of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona, Verona, Italy.
Cristina TecchioDepartment of Engineering for Innovation Medicine (DIMI), Section of Hematology and Bone Marrow Transplant Unit, Verona, Italy.
Flavia BazzoniDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Sven BrandauResearch Division, Department of Otorhinolaryngology, University Hospital Essen, Essen, Germany.
Nicola TamassiaDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Marco A CassatellaDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.
Patrizia ScapiniDepartment of Medicine, Section of General Pathology, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human polymorphonuclear-myeloid-derived suppressor cells (PMN-MDSCs) consist of circulating low-density neutrophils (LDNs) characterized by the ability to inhibit T-cell responses. In previous studies, we demonstrated that the mature fraction of PMN-MDSCs (i.e. mPMN-MDSCs) exerts more potent immunosuppressive functions than its immature counterpart. More recently, we defined a specific gene signature of mPMN-MDSCs from cancer patients and G-CSF-treated donors (GDs) by bulk RNA sequencing (RNA-seq) experiments. In this study, by performing single-cell RNA-seq (scRNA-seq) experiments of circulating mPMN-MDSCs from non-small cell lung cancer (NSCLC) patients, we identified a major scRNA-seq cell cluster (arbitrarily named NSCLC c6) specifically displaying immunosuppressive and protumor transcriptomic features. Then, by analyzing publicly available scRNA-seq datasets from human tumor-associated neutrophils (TANs), we uncovered three TAN clusters (arbitrarily named TAN c6-c8) that were found to share with NSCLC c6 several common genes and transcription factor (TF) regulons associated with response to hypoxia, positive regulation of angiogenesis, and metabolic reprogramming. Furthermore, by performing scRNA-seq experiments of GD mPMN-MDSCs, we uncovered four scRNA-seq cell clusters (arbitrarily named GD c4-c7) that were enriched for the same genes and pathways characterizing NSCLC c6 and TAN c6-c8 cells. Altogether, these data uncover that human circulating mPMN-MDSCs and TANs from different cancer types share scRNA-seq cell clusters with transcriptomic similarities, supporting the notion that they might be strictly related.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMyeloid-Derived Suppressor CellsNeutrophilsTranscriptomeGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisTumor MicroenvironmentG-CSFNeutrophilsPMN-MDSCsscRNA-seqTANs

Identifiers

PMID40590753
PMCPMC12218443

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Registered trials

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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.