Evidence map›Paper›PMID 38884058›Full record

ArticlePhenomics (Cham, Switzerland)2024

Bronchoalveolar Lavage Fluid Microbiota is Associated with the Diagnosis and Prognosis Evaluation of Lung Cancer.

Chen Cheng, Zhifeng Wang, Chao Ding, Pingli Liu, Xiaoqiang Xu, Yan Li, Yi Yan, Xiaocong Yin, Bi Chen, Bing Gu

Abstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Chen Cheng *Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029 Jiangsu China.ORCID 0009-0006-1440-3048
Zhifeng Wang *Department of Bioinformatics, 01Life Institute, Shenzhen, 518000 Guangdong China.ORCID 0000-0003-3186-9465
Chao Ding *Department of General Surgery, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008 Jiangsu China.ORCID 0000-0002-5876-6813
Pingli LiuDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006 Jiangsu China.ORCID 0009-0007-8711-0972
Xiaoqiang XuDepartment of Bioinformatics, 01Life Institute, Shenzhen, 518000 Guangdong China.ORCID 0000-0003-1319-1646
Yan LiDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006 Jiangsu China.ORCID 0000-0003-0103-6382
Yi YanDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006 Jiangsu China.ORCID 0000-0001-5004-4333
Xiaocong YinMedical Technology School of Xuzhou Medical University, Xuzhou, 221004 Jiangsu China.ORCID 0009-0009-4102-4205
Bi ChenDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006 Jiangsu China.ORCID 0000-0002-6041-6433
Bing GuLaboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2Nd Rd, Yuexiu District, Guangzhou, 510000 Guangdong China.ORCID 0000-0001-7764-3213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota and cancer have been demonstrated to be closely related. However, few studies have explored the bronchoalveolar lavage fluid (BALF) microbiota in patients with lung cancer (LC), specifically the microbiota related to progression-free survival (PFS) in LC. A total of 216 BALF samples were collected including 166 LC and 50 benign pulmonary disease (N-LC) samples, and further sequenced using 16S rRNA amplicon sequencing. Enrolled LC patients were followed up, the therapeutic efficacy was assessed, and PFS was calculated. The associated clinical and microbiota sequencing data were deeply analysed. Distinct differences in the microbial profiles were evident in the lower airways of patients with LC and N-LC, which was also found between non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). A combined random forest model was built to distinguish NSCLC from SCLC and reached area under curves (AUCs) of 0.919 (95% CI 86.69-97.1%) and 0.893 (95% CI 79.39-99.29%) in the training and test groups, respectively. The lower alpha diversity of the BALF microbiota in NSCLC patients was significantly associated with reduced PFS, although this link was not observed in SCLC. Specifically, NSCLC with a higher abundance of Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00135-9.

Indexed as

16S rRNA amplicon sequencingBronchoalveolar lavage fluid microbiotaDiagnosisLung cancerPrognosis

Identifiers

PMID38884058
PMCPMC11169441

What OpenQuestion holds

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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.