Evidence map›Paper›PMID 37653115›Full record

ArticleOncogene2023

Deciphering pathogenic cellular module at single-cell resolution in checkpoint inhibitor-related pneumonitis.

Pengfei Cui, Jinfeng Li, Haitao Tao, Xiaoyan Li, Liangliang Wu, Junxun Ma, Huanhuan Wang, Tingting Liu, Min Zhang, Yi Hu

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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 at 1 institution in 1 country.

Pengfei Cui *Department of Oncology, the Second Medical Center of Chinese PLA General Hospital, 100853, Beijing, China.
Jinfeng Li *Institute of oncology, Senior Department of Oncology, the Fifth Medical Center of PLA General Hospital, 100853, Beijing, China.
Haitao Tao *Senior Department of Oncology, the Fifth Medical Center of PLA General Hospital, 100853, Beijing, China.
Xiaoyan Li *Senior Department of Oncology, the Fifth Medical Center of PLA General Hospital, 100853, Beijing, China.
Liangliang WuInstitute of oncology, Senior Department of Oncology, the First Medical Center of PLA General Hospital, 100853, Beijing, China.
Junxun MaSenior Department of Oncology, the Fifth Medical Center of PLA General Hospital, 100853, Beijing, China.
Huanhuan WangInstitute of oncology, Senior Department of Oncology, the First Medical Center of PLA General Hospital, 100853, Beijing, China.
Tingting LiuDepartment of Pulmonary and Critical Care Medicine, the Second Medical Center of Chinese PLA General Hospital, 100853, Beijing, China.
Min ZhangState Key Laboratory of Kidney Diseases, Department of Nephrology, the First Medical Center of Chinese PLA General Hospital, 100853, Beijing, China. mzhangcool@163.com.
Yi HuSenior Department of Oncology, the Fifth Medical Center of PLA General Hospital, 100853, Beijing, China. huyi_0912@126.com.ORCID 0000-0003-4740-0290
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Checkpoint inhibitor pneumonitis (CIP) is the most common fatal immune-related adverse event; however, its pathophysiology remains largely unknown. Comprehensively dissecting the key cellular players and molecular pathways associated with CIP pathobiology is critical for precision diagnosis and develop novel therapy strategy of CIP. Herein, we performed a comprehensive single-cell transcriptome analysis to dissect the complexity of the immunological response in the bronchoalveolar lavage fluid (BALF) microenvironment. CIP was characterized by a dramatic accumulation of CXCL13+ T cells and hyperinflammatory CXCL9+ monocytes. T-cell receptor (TCR) analysis revealed that CXCL13+ T cells exhibited hyperexpanded- TCR clonotypes, and pseudotime analysis revealed a potential differentiation trajectory from naïve to cytotoxic effector status. Monocyte trajectories showed that LAMP3+ DCs derived from CXCL9+ monocytes possessed the potential to migrate from tumors to the BALF, whereas the differentiation trajectory to anti-inflammatory macrophages was blocked. Intercellular crosstalk analysis revealed the signaling pathways such as CXCL9/10/11-CXCR3, FASLG-FAS, and IFNGR1/2-IFNG were activated in CIP+ samples. We also proposed a novel immune signature with high diagnostic power to distinguish CIP+ from CIP- samples (AUC = 0.755). Our data highlighted key cellular players, signatures, and interactions involved in CIP pathogenesis.

Indexed as

Lung NeoplasmsNeoplasmsPneumoniaHumansMacrophagesReceptors, Antigen, T-CellSignal TransductionTumor MicroenvironmentReceptors, Antigen, T-Cell

Identifiers

PMID37653115
PMCPMC10575783
OpenAlexW4386317497

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.