Evidence map›Paper›PMID 32758346›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2020

[Analysis of Pulmonary Microbial Diversity in Patients with Advanced Lung Cancer Based on High-throughput Sequencing Technology].

Zhuonan Ran, Jiexing Liu, Fen Wang, Caiyan Xin, Xiang Shen, Shan Zeng, Zhangyong Song, Bin Xiong

Abstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 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

8 authors.

Zhuonan RanThe Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.
Jiexing LiuThe Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.
Fen WangDepartment of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China.
Caiyan XinDepartment of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China.
Xiang ShenThe Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.
Shan ZengThe Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.
Zhangyong SongDepartment of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China.
Bin XiongThe Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pulmonary microbiome is closely related to the occurrence of pulmonary diseases. The morbidity and mortality of lung cancer are relatively high in the world. It has been confirmed that lung microecology changes in lung cancer patients compared with healthy individuals. Furthermore, the abundance of some bacterial species shows obvious changes, suggesting their potential use as a microbial marker for the detection of lung cancer. The composition of the pulmonary microbiome in patients with different histological types of lung cancer has not been determined. We aim to study the correlation and difference of microbiome between different histological types of lung cancer.

methodsIllumina HiSeq high-throughput sequencing technology was used to sequenced the 16S rDNA V3-V4 region of bacterial in sputum samples of patients with advanced lung cancer.

resultsIt was found that Streptococcus, Neisseria and Prevotella were the main bacteria of lung cancer patients. Advantage bacterium group differ between different histological types of lung cancer. Adenocarcinoma (AD) group was dominated by Streptococcus and Neisseria, followed by Veillonella. Small cell lung cancer (SCLC) group was dominated by Neisseria, followed by Streptococcus. Squamous carcinoma (SCC) group was dominated by Streptococcus, followed by Veillonella. Combined small cell lung cancer (C-SCLC) group was dominated by Streptococcus, followed by Prevotella.

conclusionsThe pulmonary bacterial microbiome of lung cancer of different histological types is different. This experiment enrichs the pulmonary bacterial microbiome data of lung cancer and fills the gap of pulmonary microbiome of small cell lung cancer.

Indexed as

BacteriaHigh-Throughput Nucleotide SequencingLung NeoplasmsMicrobiotaAdultAgedFemaleHumansLungMaleMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16SBiodiversityGenomicsHigh-throughput sequencingLung neoplasms

Identifiers

PMID32758346
PMCPMC7786226

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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.