Evidence map›Paper›PMID 42621328›Full record

ArticleGenes & diseases2026

Dynamic single-cell landscape reveals a T-cell-suppressed microenvironment and a conserved neutrophil program in the lung metastatic niche.

Chen Ai, Huijuan Wu, Huihui Yang, Jing Wang, Chang Liu, Melissa S F Ng, Ziheng Zhou, Fenghui Zhuang, Qinhang Gao, Lingqian Wang and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Chen AiBiomedical Pioneering Innovative Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Peking University, Beijing 100871, China.
Huijuan WuInstitute for Translational Medicine on Cell Fate and Disease, Shanghai Ninth People's Hospital, Key Laboratory of Cell Differentiation and Apoptosis of the National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Huihui YangInstitute for Translational Medicine on Cell Fate and Disease, Shanghai Ninth People's Hospital, Key Laboratory of Cell Differentiation and Apoptosis of the National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Jing WangDepartment of General Surgery, First Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Chang LiuBiomedical Pioneering Innovative Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Peking University, Beijing 100871, China.
Melissa S F NgSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A∗STAR), 138648, Singapore.
Ziheng ZhouDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China.
Fenghui ZhuangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China.
Qinhang GaoChangping Laboratory, Beijing 102206, China.
Lingqian WangDepartment of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Changming ShiShanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine affiliated Renji Hospital, Shanghai 200127, China.
Linnan ZhuBiomedical Pioneering Innovative Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Peking University, Beijing 100871, China.
Zhaode BuDepartment of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Chang ChenDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China.
Lai Guan NgSchool of Medicine, Westlake University, Hangzhou, Zhejiang 310030, China.
Zemin ZhangBiomedical Pioneering Innovative Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the immune landscape of primary tumors is increasingly understood, the dynamic immune remodeling within the evolving lung metastatic microenvironment remains poorly characterized. Here, by systematically comparing the microenvironments of primary and metastatic tumors using single-cell transcriptomics across diverse cancer models, we reveal that lung metastases consistently establish a profoundly T-cell-suppressed microenvironment. Concurrently, we identified a strictly metastasis-specific neutrophil gene program. Crucially, this program is highly concurrent with the metastatic microenvironment and is fundamentally distinct from neutrophil phenotypes observed in primary tumors or healthy lungs. Among the core genes defining this program, we identified the cell surface marker STEAP4 as a highly specific indicator of these metastasis-associated neutrophils. In both murine models and human patients, these STEAP4

Indexed as

Circulating biomarkersLung metastasisMetastatic nicheNeutrophil plasticitySingle-cell RNA-seqT cell suppression

Identifiers

PMID42621328
PMCPMC13487611

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.