Evidence map›Paper›PMID 39552845›Full record

ArticleJournal of thoracic disease2024

Gut microbiota and metabolites associated with immunotherapy efficacy in extensive-stage small cell lung cancer: a pilot study.

Liyang Sun, Xueting Wang, Huimin Zhou, Rui Li, Ming Meng, Giandomenico Roviello, Byeongsang Oh, Lingxin Feng, Zhuang Yu, Jing Wang

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. [Fecal Microbiota Transplantation: A Promising Avenue for Lung Cancer Therapy].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Pooled it
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  14. Gut microbiota shapes cancer immunotherapy responses.NPJ biofilms and microbiomes · 2025
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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

10 authors.

Liyang Sun *Department of Oncology, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0009-0007-8143-0836
Xueting Wang *Department of Oncology, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Huimin Zhou *Department of Oncology, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Rui LiHealth Management Center, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Ming MengSchool of Pharmacy, Qingdao University Medical College, Qingdao University, Qingdao, China.
Giandomenico RovielloDepartment of Health Sciences, University of Florence, Florence, Italy.
Byeongsang OhNorthern Sydney Cancer Centre, Royal North Shore Hospital, University of Sydney Medical School, Sydney, NSW, Australia.
Lingxin FengDepartment of Oncology, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Zhuang YuDepartment of Oncology, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Jing WangDepartment of Oncology, the Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The gut microbiota and its associated metabolites play a critical role in shaping the systemic immune response and influencing the efficacy of immunotherapy. In this study, patients with extensive-stage small cell lung cancer (ES-SCLC) were included to explore the correlation between gut microbiota and metabolites and immunotherapy efficacy in patients with ES-SCLC. Methods: Pre- and post-treatment, we collected stool samples from 49 ES-SCLC patients treated with an anti-programmed death-ligand 1 (PD-L1) antibody. We then applied 16S ribosomal RNA (rRNA) sequencing and liquid chromatography-mass spectrometry (LC-MS) non-targeted metabolomics technology. Subsequently, the gut microbiota and metabolites were identified and classified. Results: The results showed no statistical difference in gut microbiota alpha and beta diversity between the responder (R) and non-responder (NR) patients at baseline. However, the alpha diversity of the R patients was significantly higher than that of the NR patients after treatment. There were also differences in the microbiome composition at the baseline and post-treatment. Notably, after treatment, Conclusions: These findings are anticipated to provide novel markers for predicting the efficacy of immune checkpoint inhibitors (ICIs) in patients with ES-SCLC, and offer new directions for further research on molecular mechanisms.

Indexed as

chemotherapygut microbiotaimmunotherapymetabolomicsSmall cell lung cancer (SCLC)

Identifiers

PMID39552845
PMCPMC11565349

What OpenQuestion holds

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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.