Evidence map›Paper›PMID 36836409›Full record

ArticleJournal of personalized medicine2023

Species-Level Characterization of the Microbiome in Breast Tissues with Different Malignancy and Hormone-Receptor Statuses Using Nanopore Sequencing.

Lan Luo, Aisi Fu, Manman Shi, Jiawei Hu, Deguang Kong, Tiangang Liu, Jingping Yuan, Shengrong Sun, Chuang Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
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

9 authors at 1 institution in 1 country.

Lan LuoDepartment of Thyroid and Breast Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Aisi FuKey Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and Wuhan University School of Pharmaceutical Sciences, Wuhan 430060, China.
Manman ShiDepartment of Thyroid and Breast Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Jiawei HuDepartment of Thyroid and Breast Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Deguang KongDepartment of Thyroid and Breast Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Tiangang LiuKey Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and Wuhan University School of Pharmaceutical Sciences, Wuhan 430060, China.ORCID 0000-0001-8087-0345
Jingping YuanDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0001-7470-6899
Shengrong SunDepartment of Thyroid and Breast Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Chuang ChenDepartment of Thyroid and Breast Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wuhan University · CN

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-SY201901-0189National Natural Science Foundation of China 8210114078Natural Science Foundation of Hubei Province 2020CFA026
6 · The paper itself

Abstract

Unambiguous evidence indicates that microbes are closely linked to various human diseases, including cancer. Most prior work investigating the microbiome of breast tissue describes an association between compositional differences of microbial species in benign and malignant tissues, but few studies have examined the relative abundance of microbial communities within human breast tissue at the species level. In this work, a total of 44 breast tissue samples including benign and malignant tissues with adjacent normal breast tissue pairs were collected, and Oxford Nanopore long-read sequencing was employed to assess breast tissue microbial signatures. Nearly 900 bacterial species were detected from the four dominant phyla: Proteobacteria, Firmicutes, Actinobacteria and Bacteroidetes. The bacteria with the highest abundance in all breast tissues was

Indexed as

16S rRNAbreast cancerdiversitymicrobiomenanopore sequencing

Identifiers

PMID36836409
PMCPMC9965790
OpenAlexW4317503525

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.