Evidence mapPaperPMID 40748472Full record

ArticleCurrent microbiology2025

Alterations in the Gut Microbiota and Metabolite Profiles of Lung Cancer Patients.

Nan Li, Qiliu Qian, Jun Ouyang, Mingyue Hu, Ligong Chang, Shiya Zheng

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Article in Current microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nan LiDepartment of Gastroenterology, Zhongda Hospital of Southeast University, Nanjing, 210009, China.
Qiliu QianMedical School, Southeast University, Nanjing, 210009, China.
Jun OuyangZhenjiang Hospital Affiliated to Nanjing University of Chinese Medicine, Zhenjiang, 212000, China.
Mingyue HuDepartment of Gastroenterology, Zhongda Hospital of Southeast University, Nanjing, 210009, China.
Ligong ChangDepartment of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001, China.
Shiya ZhengDepartment of Oncology, Zhongda Hospital of Southeast University, Nanjing, 210009, China. zhengshiya1990@163.com.

Funding

National Natural Science Foundation of China Youth Foundation 81302162Open Project of Zhenjiang Traditional Chinese Medicine Spleen and Stomach Disease Clinical Medicine Research Center No. SSPW2022-KF06Zhongda Hospital Affliated to Southeas University GSP-ZXY20
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related deaths worldwide. The gut microbiota is known to be involved in the occurrence and development of a variety of cancers, but the role of gut microbiota in lung cancer remains unclear. Here, we selected fecal samples of lung cancer patients and healthy people for 16S rRNA high-throughput sequencing and untargeted metabolomics analysis, respectively. The results showed that Actinobacteria, Proteobacteria, Patescibacteria, Cyanobacteria and Verrucomicrobiota were enriched in the LC; And the interaction between bacteria in the LC was more complicated than that in the NC. ROC showed that Actinobacteriota, Bacteroidota, Verrucomicrobiota and 7 kinds of bacteria at the genus have a better resolution for LC There are 82 kinds of metabolites that were different between NC and LC, mainly lipid metabolism molecules KEGG analysis indicated that Glycerophospholipid metabolism and alpha-Linolenic acid metabolism may be different in the LC and NC. ROC showed that 15 kinds of metabolites had a better classification effect on LC and NC; And we found that the correlation between metabolites in NC was higher than that in LC. This article pointed out the direction for follow-up research on its role in the occurrence and development of lung cancer.

Indexed as

BacteriaGastrointestinal MicrobiomeLung NeoplasmsMetabolomeAgedFecesFemaleHigh-Throughput Nucleotide SequencingHumansMaleMetabolomicsMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16S

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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 Socratic graph.