Evidence map›Paper›PMID 41981675›Full record

ArticleJournal of translational medicine2026

Profiling the tumor-resident microbiota in small cell lung cancer and its influence on clinical outcomes.

Wengang Zhang, Wencheng Zhao, Li Ye, Hao Wang, Zhimin Chen, Xinyue Liu, Yujie Li, Qianqian Zhang, Huixian Zhang, Yujin Liu and 6 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Wengang Zhang *Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Wencheng Zhao *Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Li YeDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Hao WangDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Zhimin ChenDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Xinyue LiuDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Yujie LiDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Qianqian ZhangDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Huixian ZhangDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Yujin LiuDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Xuyang ChenDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Shiyin ChenDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Jialin ZengDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Runze HuangDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Yuhang LiDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Yayi HeDepartment of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China. yayi.he@tongji.edu.cn.ORCID 0000-0002-2878-8595

Funding

National Key Research and Development Program of China 2022YFF0705300"Young Eagle Soaring" Youth Talent Funding Program of Shanghai Pulmonary Hospital Fkcy2515
6 · The paper itself

Abstract

backgroundIncreasing evidence has confirmed the existence of resident microbial communities within solid tumors and indicates that the tumor microbiota may represent a novel component of the tumor microenvironment, actively regulating cancer initiation, progression, metastasis, and therapeutic responsiveness. However, the role of tumor microbiota in small cell lung cancer (SCLC) has not been well explored.

methodsTumor samples were collected from 71 patients with SCLC at Shanghai Pulmonary Hospital between 2019 and 2023. A comprehensive analysis of the tumor-resident microbiota in SCLC was conducted using 16 S rRNA sequencing. The bacterial communities were profiled, and their correlation with clinical outcomes was assessed.

resultsA total of 28 phyla, 79 classes, 135 orders, 251 families, and 428 genera were identified, revealing a diverse tumor microbiota in SCLC. It was shown that tumor microbiota varied markedly among patients. SCLC patients with a smoking history exhibited distinct tumor microbiota, with significantly higher abundances of Brevundimonas and Gemmatimonadetes. When patients were stratified by progression-free survival (PFS) into long-PFS (L-PFS) and short-PFS (S-PFS) cohorts, their tumor microbiota segregated distinctly. LEfSe analysis showed that Lactobacillus, Clostridium, Rothia, and Staphylococcus were selectively enriched in the L-PFS group, whereas Stenotrophomonas, Cetobacterium, and Aerococcus dominated the S-PFS group. Kaplan–Meier analysis confirmed that carriage of Lactobacillus, Clostridium, or Staphylococcus was associated with prolonged survival relative to negative status, while positivity for Stenotrophomonas, Cetobacterium, or Aerococcus conferred a reduction in survival. Subsequent response-stratified analysis revealed that Clostridium- and Lactobacillus-positive SCLC was associated with a significantly higher response rate. Conversely, positivity for Methylobacterium, Pelomonas, Ralstonia, Bradyrhizobium, Variovorax, Microbacterium, Comamonas, or Sphingomonas markedly reduced response. The intersection of survival and response results identify Clostridium and Lactobacillus as promising prognostic tumor microbiota markers in SCLC. In vitro assays demonstrated that the Clostridium and Lactobacillus metabolites, butyrate and lactic acid, lacked direct cytotoxicity against SCLC cells. However, in the syngeneic mouse model, systemic supplementation of butyrate or lactic acid significantly potentiated the anti-tumor efficacy of standard chemotherapy. Notably, flow cytometric analysis revealed that this in vivo synergistic effect was closely associated with a profound increase in CD8 + T cell infiltration within the tumor microenvironment. Furthermore, integrating these two tumor microbiota with key clinical variables (sex, age, smoking, stage, radiotherapy), we constructed three models—therapeutic-response, 1-year PFS, and 1-year overall survival—that maintained robust performance in both training and validation cohorts.

conclusionsIn conclusion, the tumor-resident microbiota constitutes a critical component of the SCLC tumor microenvironment, exerting profound influence on the therapeutic response and patient prognosis. In detail, Clostridium and Lactobacillus—two pivotal tumor-resident taxa significantly linked to enhanced therapeutic responses and favorable prognosis—indicate their potential as predictive biomarkers for treatment outcomes and patient prognosis, and highlight them as candidate targets for microbiome-directed therapeutic strategies against SCLC, which warrants further functional validation.

Indexed as

Lung NeoplasmsMicrobiotaSmall Cell Lung CarcinomaAgedAnimalsFemaleHumansMaleMiddle AgedTreatment OutcomeClostridiumLactobacillusSmall cell lung cancerTumor microbiota

Identifiers

PMID41981675
PMCPMC13088536

What OpenQuestion holds

Textmetadata
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.