Evidence map›Paper›PMID 30081953›Full record

ArticleMicrobiome2018

Breast cancer in postmenopausal women is associated with an altered gut metagenome.

Jia Zhu, Ming Liao, Ziting Yao, Wenying Liang, Qibin Li, Jianlun Liu, Huawei Yang, Yinan Ji, Wei Wei, Aihua Tan and 9 more

Abstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 12 pooled it
–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

192 citing papers in PubMed, 12 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Guideline
  8. Changes in the fecal microbiota of breast cancer patients based on 16S rRNA gene sequencing: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. The Human Microbiome in Relation to Cancer Risk: A Systematic Review of Epidemiologic Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
  13. Trial
  14. Trial
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

132 more citing papers are in PubMed but not listed here.

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

19 authors.

Jia ZhuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Ming LiaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Ziting YaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Wenying LiangClabee Genomics, Urban Garden Building, Bookstore Road, Luohu District, Shenzhen, 518000, Guangdong, China.
Qibin LiClabee Genomics, Urban Garden Building, Bookstore Road, Luohu District, Shenzhen, 518000, Guangdong, China.
Jianlun LiuDepartment of Breast Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Huawei YangDepartment of Breast Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yinan JiDepartment of Breast Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Wei WeiDepartment of Breast Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Aihua TanCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Siyuan LiangDepartment of Colorectal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yang ChenCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Haisong LinCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Xiujuan ZhuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Shengzhu HuangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Jiarong TianCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Ruiqiang TangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Qiuyan WangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China. qiuyanwang510@yahoo.com.
Zengnan MoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China. zengnanmo@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence suggests that gut microbiota play a role in the pathogenesis of breast cancer. The composition and functional capacity of gut microbiota associated with breast cancer have not been studied systematically.

methodsWe performed a comprehensive shotgun metagenomic analysis of 18 premenopausal breast cancer patients, 25 premenopausal healthy controls, 44 postmenopausal breast cancer patients, and 46 postmenopausal healthy controls.

resultsMicrobial diversity was higher in breast cancer patients than in controls. Relative species abundance in gut microbiota did not differ significantly between premenopausal breast cancer patients and premenopausal controls. In contrast, relative abundance of 45 species differed significantly between postmenopausal patients and postmenopausal controls: 38 species were enriched in postmenopausal patients, including Escherichia coli, Klebsiella sp_1_1_55, Prevotella amnii, Enterococcus gallinarum, Actinomyces sp. HPA0247, Shewanella putrefaciens, and Erwinia amylovora, and 7 species were less abundant in postmenopausal patients, including Eubacterium eligens and Lactobacillus vaginalis. Acinetobacter radioresistens and Enterococcus gallinarum were positively but weakly associated with expression of high-sensitivity C-reactive protein; Shewanella putrefaciens and Erwinia amylovora were positively but weakly associated with estradiol levels. Actinomyces sp. HPA0247 negatively but weakly correlated with CD3

conclusionThe composition and functions of the gut microbial community differ between postmenopausal breast cancer patients and healthy controls. The gut microbiota may regulate or respond to host immunity and metabolic balance. Thus, while cause and effect cannot be determined, there is a reproducible change in the microbiota of treatment-naive patients relative to matched controls.

Indexed as

Gastrointestinal MicrobiomeAdultBacteriaBacterial ProteinsBreast NeoplasmsCase-Control StudiesC-Reactive ProteinEstradiolFemaleGene Regulatory NetworksHumansMetagenomicsMiddle AgedPhylogenyPostmenopausePremenopauseBacterial ProteinsC-Reactive ProteinEstradiolBreast cancerGut microbiotaImmunityMetabolismMetagenomic analyses

Identifiers

PMID30081953
PMCPMC6080540

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.