Evidence map›Paper›PMID 40667651›Full record

ArticleCancer medicine2025

Heterogeneity of Checkpoint Inhibitor-Associated Pneumonitis: A Multicenter Study on Inflammatory Subtypes and Clinical Outcomes.

Tingyue Luo, Tiantian Liu, Weisheng Chen, Wei Lei, Shuquan Wei, Yan Wang, Shudong Ma, Li Lin, Junjie Xi, Zeyu Fu and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2025. 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. Article
  2. 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

18 authors.

Tingyue LuoChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Tiantian LiuChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Weisheng ChenDepartment of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-8715-6643
Wei LeiPulmonary and Critical Care Medicine, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan, Guangdong, China.
Shuquan WeiDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
Yan WangGuangdong Second Provincial General Hospital, Guangzhou, Guangdong, China.
Shudong MaDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Li LinDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Junjie XiChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zeyu FuChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jingze GuoChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Qiang XiaoDepartment of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Xiaodan ChangChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Danhui HuangChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Shifang YangDepartment of Pulmonary and Critical Care Medicine, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Laiyu LiuChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Shaoxi CaiChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Hangming DongChronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-4476-9829

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515110977Funding by Science and Technology Projects in Guangzhou 2023A04J2393National Natural Science Foundation of China 82270024Natural Science Foundation of Guangdong Province 2021A1515010003President Foundation of Nanfang Hospital, Southern Medical University 2023B033
6 · The paper itself

Abstract

introductionCheckpoint inhibitor-associated pneumonitis (CIP) is a serious manifestation following tumor immunotherapy, typically mediated by T lymphocytes. However, the heterogeneity in blood inflammatory profiles and its implications on clinical characteristics and outcomes for CIP remain underexplored.

methodsThis multicenter retrospective study included 113 CIP patients without pathogen infection, aiming to classify CIP based on peripheral blood immune cell percentages.

resultsWe identified three inflammatory subtypes: normal type (42.5%), neutrophil type (41.6%), and eosinophil type (15.9%). The normal-type pneumonitis primarily occurred in Grades 1-2 (79.2%), with nonspecific interstitial pneumonia radiological features, and demonstrated a significant recovery to normal lung status after effective treatment (p < 0.001). In contrast, patients with the neutrophil type were associated with symptomatic onset (p = 0.036), cryptogenic organizing pneumonitis on imaging (p = 0.004), higher steroid doses (> 40 mg/day, p = 0.011), anti-fibrotic treatments (p = 0.007), and pneumonia-related mortality rate was 27.7% (p = 0.037). Eosinophil-type pneumonitis was more common in patients with chronic pulmonary inflammation, typically Grades 1-2 (66.7%) with hypersensitivity pneumonitis patterns (p < 0.001) and better prognosis.

conclusionIn summary, our study reveals that CIP can be classified into normal, neutrophil, and eosinophil types, each with distinct treatment responses and prognoses. These findings underscore the importance of subtype-specific treatment strategies and highlight the prognostic significance of early intervention in both normal and eosinophil subtypes.

trial registrationClinicalTrials.gov identifier: ChiCTR2200065859.

Indexed as

Immune Checkpoint InhibitorsNeoplasmsPneumoniaAdultAgedAged, 80 and overEosinophilsFemaleHumansMaleMiddle AgedNeutrophilsRetrospective StudiesImmune Checkpoint Inhibitorsblood inflammation subtypescheckpoint inhibitor–associated pneumonitisclinical characteristicsheterogeneityoutcomes

Identifiers

PMID40667651
PMCPMC12264577

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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.