Evidence map›Paper›PMID 42270094›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Structural and Functional Alterations of Microbiome in Upper and Lower Respiratory Tract in Patients With NSCLC.

Lianxin Deng, Xinyu Gao, Chang Guo, Xing Hu, Jian Qi, Jialiang Wang, Xiang Huang, Yiyong Zhang, Zongtao Hu, Hongzhi Wang and 1 more

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. 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. Review
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

11 authors.

Lianxin DengSchool of Basic Medical Sciences, Anhui Medical University, Hefei, China.
Xinyu GaoSchool of Basic Medical Sciences, Anhui Medical University, Hefei, China.
Chang GuoSchool of Basic Medical Sciences, Anhui Medical University, Hefei, China.
Xing HuHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.
Jian QiHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.
Jialiang WangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.
Xiang HuangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.
Yiyong ZhangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.
Zongtao HuHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.
Hongzhi WangSchool of Basic Medical Sciences, Anhui Medical University, Hefei, China.
Bo HongSchool of Basic Medical Sciences, Anhui Medical University, Hefei, China.ORCID 0000-0001-8117-5029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionThe airway microbiome plays a pivotal role in lung cancer development, but the microbiome characteristics in upper and lower respiratory tract of non-small cell lung cancer (NSCLC) patients remains unclear.MethodsThis was a prospective case-control study. The study included 60 samples from NSCLC patients and non-cancer controls: 23 sputum (SP) samples (14 NSCLC, 9 controls) and 37 bronchoalveolar lavage fluid (BALF) samples (21 NSCLC, 16 controls). Metagenomic sequencing was performed to characterize microbial composition and diversity, differential taxa, inter-kingdom networks, and functional profiles for bacteria and fungi.ResultsFor bacterial community, BALF samples from NSCLC tend to show higher alpha diversity than that of non-cancer controls (Shannon p = 0.046, Simpson p = 0.089), whereas SP samples from NSCLC show a trend toward lower alpha diversity (Shannon p = 0.053, Simpson p = 0.033). For fungal community, alpha diversity shows no significant difference between NSCLC and non-cancer groups in either SP (Shannon p = 0.250, Simpson p = 0.480) or BALF (Shannon p = 0.800, Simpson p = 0.700) samples. Beta diversity exhibits differences in bacterial community composition between NSCLC and non-cancer controls in both SP (p = 0.018) and BALF samples (p = 0.015), while fungal communities appear relatively stable (p = 0.611 for SP; p = 0.611 for BALF). LEfSe and Random Forest analyses identify bacterium

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMicrobiotaRespiratory SystemAgedBacteriaBronchoalveolar Lavage FluidCase-Control StudiesFemaleFungiHumansMaleMiddle AgedProspective StudiesSputumbronchoalveolar lavage fluid (BALF)Metagenomicsnon-small cell lung cancer (NSCLC)pulmonary microbiomesputum (SP)

Identifiers

PMID42270094
PMCPMC13254439

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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.