Evidence map›Paper›PMID 39258251›Full record

ArticleFrontiers in cellular and infection microbiology2024

Unveiling microbial dynamics in lung adenocarcinoma and adjacent nontumor tissues: insights from nicotine exposure and diverse clinical stages via nanopore sequencing technology.

Kangli Yang, Shuaifeng Wang, Zheng Ding, Kai Zhang, Weiwei Zhu, Huifen Wang, Mengshu Pan, Xiangnan Li, Hongmin Wang, Zujiang Yu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Kangli YangDepartment of Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shuaifeng WangGene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zheng DingDepartment of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kai ZhangDepartment of Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Weiwei ZhuDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Huifen WangDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengshu PanDepartment of Grassroots Medical, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiangnan LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hongmin WangDepartment of Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zujiang YuGene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung is the largest mucosal area of the human body and directly connected to the external environment, facing microbial exposure and environmental stimuli. Therefore, studying the internal microorganisms of the lung is crucial for a deeper understanding of the relationship between microorganisms and the occurrence and progression of lung cancer. Methods: Tumor and adjacent nontumor tissues were collected from 38 lung adenocarcinoma patients and used nanopore sequencing technology to sequence the 16s full-length sequence of bacteria, and combining bioinformatics methods to identify and quantitatively analyze microorganisms in tissues, as well as to enrich the metabolic pathways of microorganisms. Results: the microbial composition in lung adenocarcinoma tissues is highly similar to that in adjacent tissues, but the alpha diversity is significantly lower than that in adjacent tissues. The difference analysis results show that the bacterial communities of Conclusion: Nanopore sequencing technology was performed on the full length 16s sequence, which preliminarily depicted the microbial changes and enrichment of microbial metabolic pathways in tumor and adjacent nontumor tissues. The relationship between nicotine exposure, tumor progression, and microorganisms was explored, providing a theoretical basis for the treatment of lung cancer through microbial targets.

Indexed as

Adenocarcinoma of LungBacteriaLung NeoplasmsMicrobiotaNanopore SequencingNicotineAgedComputational BiologyFemaleHumansLungMaleMetabolic Networks and PathwaysMiddle AgedRNA, Ribosomal, 16SNicotineRNA, Ribosomal, 16Sclinical stagesintratumor microbiotalung cancermetabolic pathwaysnanopore sequencingnicotine exposure

Identifiers

PMID39258251
PMCPMC11385298

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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.