Evidence map›Paper›PMID 42095467›Full record

ReviewEuropean journal of immunology2026

Mapping of Neutrophils in Cancers: Insights From Spatial Omics Technologies.

Xiaohe Li, Xi He, Shan Cao, Changming Shih, Xiaoxiang Chen, Lai Guan Ng

Abstract readReview
In one paragraph

Review in European journal of immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Xiaohe LiShanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated to Renji Hospital, Shanghai, China.
Xi HeDepartment of Allergy, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Shan CaoDepartment of Allergy, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Changming ShihShanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated to Renji Hospital, Shanghai, China.
Xiaoxiang ChenDepartment of Allergy, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Lai Guan NgShanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated to Renji Hospital, Shanghai, China.

Funding

Chinese Ministry of Science and Technology 2023YFC2306300Chinese Ministry of Science and Technology 2023YFC2506400National Natural Science Foundation of China 32270956National Natural Science Foundation of China 92374205Research Fund for International Senior Scientist W2431020
6 · The paper itself

Abstract

Tumor neutrophils exhibit marked phenotypic plasticity and can play dual roles in tumor biology, encompassing both tumor-promoting and tumor-suppressive activities. Single-cell RNA sequencing (scRNA-seq) enables transcriptomic profiling of tumor neutrophils at single-cell resolution, whereas spatial transcriptomics (ST) addresses key limitations of scRNA-seq by preserving the spatial context of cells within intact tissue, thereby minimizing cell loss and maintaining native tissue architecture. As ST technology continues to advance, it offers increasingly comprehensive insights into the regulatory mechanisms of tumor neutrophils within the tumor microenvironment (TME). In this review, we first summarize recent technological advancements in ST. We then discuss neutrophil detection across various cancer types, highlighting key differences and challenges in neutrophil research across studies and malignancies. Furthermore, we outline recommendations for sequencing strategies and sample processing to optimize the study of tumor neutrophils. Finally, we highlight that integrating ST with multi-omics approaches offers a promising avenue to advance our understanding of tumor neutrophil biology and to identify more precise biomarkers for targeted therapies.

Indexed as

NeoplasmsNeutrophilsAnimalsGene Expression ProfilingHumansMultiomicsSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsTranscriptomeTumor Microenvironmentsingle‐cell RNA sequencingspatial transcriptomicstumor neutrophils

Identifiers

PMID42095467
PMCPMC13355535

What OpenQuestion holds

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Registered trials

None linked

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.