Evidence map›Paper›PMID 35389889›Full record

ArticleJCI insight2022

Bronchoalveolar lavage fluid reveals factors contributing to the efficacy of PD-1 blockade in lung cancer.

Kentaro Masuhiro, Motohiro Tamiya, Kosuke Fujimoto, Shohei Koyama, Yujiro Naito, Akio Osa, Takashi Hirai, Hidekazu Suzuki, Norio Okamoto, Takayuki Shiroyama and 15 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JCI insight, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07331701 (Association of BAL Fluid T-Cell Immune Activity With Tumor PD-L1 Expression and Its Prognostic Value), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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.

NCT07331701 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Association of BAL Fluid T-Cell Immune Activity With Tumor PD-L1 Expression and Its Prognostic Value: A Prospective Observational Study

Typeobservational_patient_registrySponsorSeoul National University HospitalRan2026 to 2027Enrolled60ConditionsLung Neoplasms, Tumor Immune Microenvironment
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Antibiotic adoption effects on nutrition and quality of life in lung cancer patients undergoing radiotherapy and chemotherapy: A meta-analysis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Pooled it
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  7. Special Issue "Molecular Advances in Cancer Immunotherapy".International journal of molecular sciences · 2025
    Article
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  19. PD-1/PD-L1 axis in organ fibrosis.Frontiers in immunology · 2023
    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

25 authors at 5 institutions in 1 country.

Kentaro MasuhiroDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Motohiro TamiyaDepartment of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan.
Kosuke FujimotoDepartment of Immunology and Genomics, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Shohei KoyamaDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Yujiro NaitoDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Akio OsaDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Takashi HiraiDepartment of Immunopathology, World Premier International Research Center, Immunology Frontier Research Center, Osaka University, Osaka, Japan.
Hidekazu SuzukiDepartment of Thoracic Oncology, Osaka Habikino Medical Center, Osaka, Japan.
Norio OkamotoDepartment of Thoracic Oncology, Osaka Habikino Medical Center, Osaka, Japan.
Takayuki ShiroyamaDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Kazumi NishinoDepartment of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan.
Yuichi AdachiDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Takuro NiiDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Yumi Kinugasa-KatayamaDepartment of Cellular Immunology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Akiko KajiharaDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Takayoshi MoritaDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Seiya ImotoDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Satoshi UematsuDepartment of Immunology and Genomics, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Takuma IrieDivision of Cancer Immunology, Research Institute/Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Tokyo, Japan.
Daisuke OkuzakiGenome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Taiki AoshiDepartment of Cellular Immunology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Yoshito TakedaDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
Toru KumagaiDepartment of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan.
Tomonori HirashimaDepartment of Thoracic Oncology, Osaka Habikino Medical Center, Osaka, Japan.
Atsushi KumanogohDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan.
The University of Osaka · JPOsaka International University · JPOsaka International Cancer Institute · JPOsaka City University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bronchoalveolar lavage is commonly performed to assess inflammation and identify responsible pathogens in lung diseases. Findings from bronchoalveolar lavage might be used to evaluate the immune profile of the lung tumor microenvironment (TME). To investigate whether bronchoalveolar lavage fluid (BALF) analysis can help identify patients with non-small cell lung cancer (NSCLC) who respond to immune checkpoint inhibitors (ICIs), BALF and blood were prospectively collected before initiating nivolumab. The secreted molecules, microbiome, and cellular profiles based on BALF and blood analysis of 12 patients were compared with regard to therapeutic effect. Compared with ICI nonresponders, responders showed significantly higher CXCL9 levels and a greater diversity of the lung microbiome profile in BALF, along with a greater frequency of the CD56+ subset in blood T cells, whereas no significant difference in PD-L1 expression was found in tumor cells. Antibiotic treatment in a preclinical lung cancer model significantly decreased CXCL9 in the lung TME, resulting in reduced sensitivity to anti-PD-1 antibody, which was reversed by CXCL9 induction in tumor cells. Thus, CXCL9 might be associated with the lung TME microbiome, and the balance of CXCL9 and lung TME microbiome could contribute to nivolumab sensitivity in patients with NSCLC. BALF analysis can help predict the efficacy of ICIs when performed along with currently approved examinations.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBronchoalveolar Lavage FluidHumansNivolumabProgrammed Cell Death 1 ReceptorTumor MicroenvironmentNivolumabProgrammed Cell Death 1 ReceptorCancer immunotherapyChemokinesImmunologyLung cancerOncology

Identifiers

PMID35389889
PMCPMC9090256
OpenAlexW4226047221

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.