Evidence map›Paper›PMID 40201032›Full record

ArticleOncology letters2025

Respiratory microbiota diversity as a predictive biomarker for the efficacy of PD‑1 blockades in patients with advanced non‑small cell lung cancer: A retrospective exploratory study.

Liang Zhang, Ming-Jiang Li, Xiao-Ping Li, Bo Yang, Ting Xiao, Ping Wang, Wei-Dong Zhang

Abstract read
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Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Liang ZhangDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin 300190, P.R. China.
Ming-Jiang LiDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin 300190, P.R. China.
Xiao-Ping LiDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin 300190, P.R. China.
Bo YangDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin 300190, P.R. China.
Ting XiaoDepartment of Pharmacy, College of Pharmacy and Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300071, P.R. China.
Ping WangDepartment of Radiotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300202, P.R. China.
Wei-Dong ZhangDepartment of Thoracic Surgery, Tianjin First Central Hospital, Tianjin 300190, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advancements in immunotherapy, particularly regarding programmed cell death protein 1 (PD-1)/programmed death-ligand 1 blockades, the clinical outcomes in non-small cell lung cancer (NSCLC) remain variable with limited predictive biomarkers currently available. The present study investigated respiratory microbiota diversity as a potential biomarker to predict the efficacy of PD-1 blockades in patients with advanced NSCLC. A retrospective analysis was conducted on 60 patients treated with PD-1 blockades from May 2019 to May 2023. Clinical data were collected and respiratory microbiota from deep induced sputum specimens were analyzed using 16S rRNA gene sequencing. An index of respiratory microbiota α diversity was applied and exploratory analysis was performed accordingly. The objective response rate (ORR) and disease control rate among the 60 patients receiving PD-1 blockades was 23.3% (95% CI, 13.4-36.0%) and 58.3% (95% CI, 44.9-70.9%), respectively. Analysis of prognostic data of patients with advanced NSCLC receiving PD-1 blockades monotherapy demonstrated a median progression-free survival of 3.4 months (95% CI, 2.54-4.26) and a median overall survival (OS) of 12.3 months (95% CI, 6.29-18.31). Patients were stratified into high and low α diversity groups based on the Shannon diversity index of respiratory microbiota. The ORR was increased in the high diversity group (26.7%) compared with that of the low diversity group (20.0%), although the difference was not statistically significant (P=0.542). Notably, the high diversity group demonstrated a longer median PFS (3.9 vs. 2.8 months; P=0.017) and median OS (16.8 vs. 6.8 months; P=0.016) compared with that of the low diversity group. These findings suggested that PD-1 blockades demonstrate promising therapeutic activity for patients with previously treated advanced NSCLC in clinical practice. Respiratory microbiota α diversity might serve as a potential biomarker to predict the efficacy of PD-1 blockades monotherapy in patients with advanced NSCLC in the future. Therefore, further prospective studies are warranted to validate these findings and to explore the underlying mechanisms by which respiratory microbiota might modulate the immune response to cancer therapy.

Indexed as

biomarkerefficacynon-small cell lung cancerprognosisprogrammed cell death protein 1 blockadesrespiratory microbiota

Identifiers

PMID40201032
PMCPMC11977453

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