Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
13 authors.
Min Zhou *Department of Breast Surgery, Affiliated Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.
Qinghua Wang *Research Institute for Reproductive Health and Genetic Diseases, Affiliated Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.ORCID 0009-0003-5662-0209
Rui Yang *Research Institute for Reproductive Health and Genetic Diseases, Affiliated Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.ORCID 0000-0002-1835-9375
Zhen ZongDepartment of Child Health Care, Qingmingqiao Street Community Health Service Center, Wuxi, China.
Bowen HuangWuxi Food Safety Inspection and Test Center, Wuxi, China.
Junjie ChenSchool of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Xin BaoDepartment of Thyroid and Breast Surgery, The Affiliated Yixing Hospital of Jiangsu University, Wuxi, China.
Su LiDepartment of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
Lanfeng ShenDepartment of Laboratory Medicine, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Jiangnan University Medical Center, Wuxi, China.
Jianfeng DongDepartment of Pathology, Wuxi Maternity and Child Health Care Hospital, Affiliated Women's Hospital of Jiangnan University, Wuxi, China.
Xiaoqian ZhaoDepartment of Breast Surgery, Affiliated Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.ORCID 0009-0007-2842-7478
Yu ChenResearch Institute for Reproductive Health and Genetic Diseases, Affiliated Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.ORCID 0000-0001-9420-1636
Daozhen ChenResearch Institute for Reproductive Health and Genetic Diseases, Affiliated Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China.ORCID 0000-0003-4791-8065
Funding
National Natural Science Foundation of China 82473350Wuxi Health Commission Youth Project Q202362
6 · The paper itself
Abstract
The consistency of the associations between the breast microbiome and breast cancer (BC) across various studies remains uncertain. Publicly accessible data sets from five BC studies, comprising 16S rRNA gene sequencing data from 161 BC tissues (BC_tissue), 195 BC adjacent non-cancerous tissues (BC_adjacent), and 451 normal breast tissues (normal_tissue), were retrieved from the European Nucleotide Archive. Overall, the microbial composition across the three breast tissue statuses was predominantly characterized by the phyla
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.
Microbial diagnostic features identified across populations possess potential antitumor properties in breast cancer. · full record | OpenQuestion