Evidence map›Paper›PMID 42903982›Full record

ArticlehLife2025

Dissection of intratumor microbiome-host interactions at the single-cell level in lung cancer.

Yong-Jing Ma, Yuan-Chen Sun, Lu Wang, Wan-Xing Xu, Xiao-Dan Fan, Jun Ding, Christopher Heeschen, Wen-Juan Wu, Xiao-Qi Zheng, Ning-Ning Liu

Abstract read
In one paragraph

Article in hLife, 2025. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yong-Jing MaState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuan-Chen SunPeking University Cancer Hospital and Institute, Beijing, China.
Lu WangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wan-Xing XuState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao-Dan FanThe Chinese University of Hong Kong, Hong Kong, China.
Jun DingDepartment of Medicine, McGill University, Quebec, Canada.
Christopher HeeschenState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wen-Juan WuDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xiao-Qi ZhengState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ning-Ning LiuState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intratumor microbiome, one of the hallmarks of cancer, plays a crucial role in cancer progression through its interaction with the host. However, the underlying mechanisms remain poorly understood. In this study, six publicly available single-cell transcriptomic lung cancer datasets (comprising 178 samples) from multiple centers (Shanghai, New York, Seoul) were integrated to investigate the heterogeneity of host-microbiome interactions at the single-cell level using single-cell analysis of host-microbiome interactions (SAHMI). The results indicate that primary tumor tissues have a high proportion of fungi-associated cells, whereas metastatic brain tissues predominantly contain bacteria-associated cells. There are also distinct microbial distributions across cell types. Notably, the presence of specific bacteria significantly influences the transcriptome of resident host cells, including T cells and macrophages, by modulating pathways related to ribosomal RNA (rRNA) processing, cellular responses to stress and stimuli, and RNA and protein metabolism. Finally, specific cell-associated bacteria are significantly correlated with clinical features, such as lung cancer stages and smoking frequency. These single-cell insights into microbiome-host interactions improve current understanding about lung cancer development and progression and offer potential micro-ecological and diagnostic insights.

Indexed as

intratumor microbiomelung cancermicrobiome–host interactionsingle-cell analysis

Identifiers

PMID42903982
PMCPMC13681576

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.