Evidence map›Paper›PMID 32676331›Full record

ArticleTranslational lung cancer research2020

Characterization of the lung microbiome and exploration of potential bacterial biomarkers for lung cancer.

Chen Cheng, Zhifeng Wang, Jingqiao Wang, Chao Ding, Chuang Sun, Pingli Liu, Xiaoqiang Xu, Yanan Liu, Bi Chen, Bing Gu

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
3.9field-weighted citation impact, top 5% 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.

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

65 citing papers in PubMed, 95 citations in OpenAlex.

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  19. The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 2025
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5 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Chen ChengMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Zhifeng WangAimigene Institute, Shenzhen, China.
Jingqiao WangMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Chao DingDepartment of General Surgery, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Chuang SunMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Pingli LiuDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xiaoqiang XuAimigene Institute, Shenzhen, China.
Yanan LiuDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Bi ChenDepartment of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Bing GuMedical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Xuzhou Medical College · CNShenzhen Genoimmune Medical Institute · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence has suggested that dysbiosis of the lung microbiota may be associated with the development of lung diseases. However, the interplay between the lung microbiome and lung cancer remains unclear. The aim of the present study was to evaluate and compare differences in taxonomic and derived functional profiles in the lung microbiota between lung cancer and benign pulmonary diseases.

methodsBronchoalveolar lavage fluid (BALF) samples were collected from 32 patients with lung cancer and 22 patients with benign pulmonary diseases, and further analyzed by 16S rRNA amplicon sequencing. The obtained sequence data were deeply analyzed by bioinformatics methods.

resultsA significant differentiation trend was observed between the lung cancer and control groups based on principal coordinate analysis (PCoA), while richness and evenness in the lung microbiome of lung cancer patients generally resembled those of patients with benign pulmonary diseases. Phylum

conclusionsThe results indicated that differences existed in the lung microbiome of patients with lung cancer and those with benign pulmonary diseases, and some certain bacteria may have potential to predict lung cancer, though future larger-sample studies are required to validate this supposition.

Indexed as

16S rRNA sequencingbiomarkersLung cancerlung microbiome

Identifiers

PMID32676331
PMCPMC7354118
OpenAlexW3035711427

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.