Evidence map›Paper›PMID 38847243›Full record

ArticleCombinatorial chemistry & high throughput screening2025

Analysis of Gut Microbiota as a Diagnostic Biomarker for Lung Adenocarcinoma with Qi-Deficiency and Phlegm-Turbid Stagnation.

Jiabin Chen, Qinqin Hu, Kequn Chai, Sheng Wang

Abstract read
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Article in Combinatorial chemistry & high throughput screening, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiabin ChenDepartment of Oncology, Tongde Hospital of Zhejiang Affiliated to Zhejiang University of Traditional Chinese Medicine, Hangzhou, Zhejiang 310012, China.
Qinqin HuDepartment of Oncology, Tongde Hospital of Zhejiang Affiliated to Zhejiang University of Traditional Chinese Medicine, Hangzhou, Zhejiang 310012, China.
Kequn ChaiDepartment of Oncology, Tongde Hospital of Zhejiang Affiliated to Zhejiang University of Traditional Chinese Medicine, Hangzhou, Zhejiang 310012, China.
Sheng WangRespiratory Department, Jinhua Guangfu Cancer Hospital, Zhejiang 310053, China.

Funding

Key R & D plan of Zhejiang Province 2022C3152Key Research Projects of Traditional Chinese Medicine in Zhejiang Province 2022ZZ006National Natural Science Foundation of China 81673781Zhejiang provincial fund for outstanding young talents of traditional Chinese Medicine 2019ZQ006
6 · The paper itself

Abstract

backgroundIn Lung Adenocarcinoma (LUAD), Qi-deficiency and Phlegm-turbid stagnation (QP) are the most prevalent Traditional Chinese Medicine (TCM) syndrome.

methodsHerein, we collected 90 fecal samples (Healthy individual (H): 30; other syndrome (O): 30; QP: 30) and explored the composition and diversity of gut microbiota in LUAD patients with QP syndrome using 16s-rRNA sequencing. Then, we identified biomarkers for QP syndrome in LUAD patients with Linear Discriminant Analysis (LDA) effect size (LEfSe) and applied logistic regression analysis to construct a diagnostic model evaluated with the area under the receiver operating characteristic curve (AUC) and validated with data from metagenomics.

resultsThe α diversity and β diversity revealed that the microbiota community structure in LUAD patients with QP syndrome was different from that with healthy individuals and LUAD patients with other syndromes. At the phylum level, the QP group had more abundance of Bacteroidetes and less Proteobacteria than the O group. At the genus level, the abundance of 4 genera (Bacteroides, Parabacteroides, Prevotella, and Flavonifractor) was different between the QP group and O group. Moreover, LEfSe indicated that those 4 genera might be the biomarkers for LUAD patients with QP syndrome. Then, we used those 4 genera to develop a diagnostic model. The AUC based on 16s-rRNA sequencing and metagenomics was 0.989 and 1, respectively.

conclusionA diagnostic model was developed, which would be an available tool for the clinical diagnosis of LUAD with QP syndrome.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorGastrointestinal MicrobiomeLung NeoplasmsQiAgedFecesFemaleHumansMaleMedicine, Chinese TraditionalMiddle AgedRNA, Ribosomal, 16SBiomarkers, TumorRNA, Ribosomal, 16Sdiagnostic model.gut microbiotaLung adenocarcinomaqi-deficiency and phlegm-turbid stagnationtraditional chinese medicine

Identifiers

PMID38847243
PMCPMC12307956

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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.