Evidence map›Paper›PMID 40024929›Full record

ArticleCancer immunology, immunotherapy : CII2025

Single-cell transcriptome sequencing reveals the immune microenvironment in bronchoalveolar lavage fluid of checkpoint inhibitor-related pneumonitis.

Linpeng Zheng, Fenglin Lin, Dingqin Cai, Longyao Zhang, Chenrui Yin, Yaxian Qi, Lingyou Sun, Lingchen Li, Xiewan Chen, Jianbo Zhu and 1 more

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. When Checkpoint Inhibitors Break Barriers: Mechanisms and Challenges of irAEs of the Skin, Gastrointestinal Tract, and Lung.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
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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

11 authors.

Linpeng ZhengCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Fenglin LinCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Dingqin CaiCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Longyao ZhangCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Chenrui YinCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Yaxian QiCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Lingyou SunCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Lingchen LiCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Xiewan ChenCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Jianbo ZhuCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China.
Jianguo SunCancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China. sunjianguo@tmmu.edu.cn.

Funding

Four major chronic disease Projects of the Health Commission SQ2023AAA031381Leading medical talents of Chongqing YXLJ202401National Natural Science Foundation of China 82172670 and 82473261Technology Innovation and Application Development Project of Chongqing 2023DBXM002
6 · The paper itself

Abstract

BACKGROUND AND

objectivesImmune checkpoint inhibitors (ICIs) bring cancer patients tumor control and survival benefits, yet they also trigger immune-related adverse effects (irAEs), notably checkpoint inhibitor-related pneumonitis (CIP), affecting about 5% of patients among whom 1-2% experiencing severe grade 3 or higher pneumonitis. Current research points to potential links with T cell subset dysfunction and autoantibody increase, but the specific mechanisms underlying different grades of CIP are understudied.

methodsHerein, we employed single-cell RNA sequencing (scRNA-seq) on bronchoalveolar lavage fluid (BALF) from CIP patients across varying severity levels, aiming to elucidate underlying immune environment and mechanisms of CIP progression at cellular and molecular levels.

findingsTotally, 121,409 high qualified cells from BALF of 11 patients were annotated and categorized into five major cell types. Severe CIP (CIP-S) cases have a significant increase in the percentage of unreported epithelial cells in their bronchoalveolar lavage fluid compared with mild CIP (CIP-M) cases. These cells were defined as aberrant basaloid cells. They upregulated SOX9, increased the expression of CXCL3/5, recruited neutrophils, and activated the immune system. Additionally, macrophages in the CIP-S group had stronger antigen-presenting abilities and resulted in more CD8 + effective T cells infiltrated.

conclusionsUtilizing single-cell sequencing of BALF, we discovered an enriched population of aberrant basaloid cells in CIP-S patients, which had not been previously reported. Aberrant basaloid cells may upregulate SOX9 via CXCL3/5-CXCR2 to recruit and activate neutrophils, and further activate the immune system, resulting in CIP-S. This finding could identify new targets for stratified treatment of CIP patients, holding promise of a novel approach for clinical guidance.

Indexed as

Bronchoalveolar Lavage FluidImmune Checkpoint InhibitorsPneumoniaTranscriptomeAgedFemaleHumansMaleMiddle AgedSingle-Cell AnalysisTumor MicroenvironmentImmune Checkpoint InhibitorsAberrant basaloid cellCheckpoint inhibitor-related pneumonitisMacrophageNeutrophilSingle-cell RNA sequencingT cell

Identifiers

PMID40024929
PMCPMC11872840

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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.