Evidence map›Paper›PMID 37195935›Full record

ArticlePloS one2023

Construction of model animals to explore intestinal microbiome for detection of breast cancer.

Xia Ji, Ruipeng Li, Xiaoyu Hu, Yufang Tian, Liqiong Liu, Chenyu Zhang, Liangxiong Xu, Yongzhi Chen, Haiwei Xie, Lutian Mao and 2 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. 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

12 authors.

Xia JiSchool of Life Science, Huizhou University, Huizhou, China.ORCID 0009-0008-2283-1733
Ruipeng LiSchool of Life Science, Huizhou University, Huizhou, China.
Xiaoyu HuSchool of Life Science, Huizhou University, Huizhou, China.
Yufang TianSchool of Life Science, Huizhou University, Huizhou, China.
Liqiong LiuSchool of Life Science, Huizhou University, Huizhou, China.
Chenyu ZhangSchool of Life Science, Huizhou University, Huizhou, China.
Liangxiong XuSchool of Life Science, Huizhou University, Huizhou, China.
Yongzhi ChenSchool of Life Science, Huizhou University, Huizhou, China.
Haiwei XieSchool of Life Science, Huizhou University, Huizhou, China.
Lutian MaoSchool of Life Science, Huizhou University, Huizhou, China.
Tianshu CaiHuizhou Health Sciences Polytechnic, Huizhou, China.
Weiwei LiHuizhou Health Sciences Polytechnic, Huizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer ranks first among female cancers and has become a major public health problem in the current society. More studies indicated that these cancers are related to the change in the gut microbiome that can cause metabolic and immune system disorders in the body. However, there are few studies on the changes in gut microbiome caused by the onset of breast cancer, and the relationship between breast cancer and gut microbiome needs to be further clarified. In this study, we inoculated 4T1 breast cancer cells to induce breast cancer tumorigenesis in mice and collected their feces samples at different stages during this process. These intestinal florae were analyzed using 16S rRNA gene amplicon sequencing, and the results showed that at the phylum level, the ratio of Firmicutes/Bacteroidetes decreased with the development of the tumor; at the family level, the intestinal microbiome had obvious variations of Lachnospiraceae, Bacteroidaceae, Erysipelotrichaceae, etc. The Kyoto Encyclopedia of Genes and Genomes (KEGG) and COG annotation demonstrated that decreased abundance of cancer-related signaling pathways. This study elucidated the relationship between breast cancer and intestinal microbiome, and the research results can be used as an important biomarker for the diagnosis of breast cancer.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacillotaBacteroidetesCarcinogenesisFecesFemaleMiceRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID37195935
PMCPMC10191350

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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.