| ZScore | RScore | Entity Type | ID | Name | Synonyms |
|---|---|---|---|---|---|
| 1.5917517061 | 40 - [0, 0, 1, 3] | Diseases | DID06067 | Fibroid | Fibroid; Fibromyoma; Leiomyomatous Neoplasm; Leiomyoma; Fibromyomas; Leiomyomatous neoplasms; Fibroids; Fibroid Tumors; Fibroid Tumor; fibroid; Leiomyomas; Leiomyomatous Tumor; Leiomyoma nos (morphologic abnormality); Leiomyomatous neoplasm (morphologic abnormality); Leiomyomatous neoplasm nos (morphologic abnormality) |
| RScore | Document | Snippets | Details |
|---|---|---|---|
| 40 - [0, 0, 1, 3] |
Bisphenol A, benzophenone-type ultraviolet filters, and phthalates in relation to uterine leiomyoma. [MEDLINE : 25531814] |
(2015) Bisphenol A, benzophenone-type ultraviolet filters, and phthalates in relation to uterine leiomyoma. Environmental research;Environ. Res.;2015 Feb;137:101-7 - There was a lack of an association between select nonpersistent chemicals and the odds of a fibroid diagnosis. - Mono-methyl levels were significantly lower in women with than without fibroids (1.78µg/g vs. 2.40µg/g). - Significantly higher geometric mean creatinine-corrected concentrations of BPA, 2,4OH-BP, and 2OH-4MeO-BP were observed in women with than without fibroids [BPA: 2.09µg/g vs. 1.46µg/g p=0.004; 2,4OH-BP:11.10µg/g vs. 6.71µg/g p=0.01; 2OH-4MeO-BP: 11.31µg/g vs. 6.10µg/g p=0.01]. - Urinary concentrations of bisphenol A (BPA), five benzophenone-type UV filters (2-hydroxy-4-methoxybenzophenone (2OH-4MeO-BP), 2,4-dihydroxybenzophenone (2,4OH-BP), 2,2׳-dihydroxybenzophenone (2,2׳OH-4MeO-BP), 2,2׳4,4׳-tetrahydroxybenzophenone (2,2׳4,4׳OH-BP), and 4-hydroxybenzophenone (4OH-BP), and 14 monoesters were quantified in 495 women who later underwent laparoscopy/laparotomy at 14 clinical sites for the diagnosis of fibroids. |
Details |
Liu Y., Liang Y., Wishart D.S. (2015) PolySearch 2.0: A significantly improved text-mining system for discovering associations between human diseases, genes, drugs, metabolites, toxins, and more. Nucleic Acids Res. 2015 Jul 1;43(Web Server Issue):W535-42.
Cheng D., Knox C., Young N., Stothard P., Damaraju S., Wishart D.S. (2008) PolySearch: a web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites. Nucleic Acids Res. 2008 Jul 1;36(Web Server Issue):W399-405.
This project is supported by the Canadian Institutes of Health Research (award #111062), Alberta Innovates - Health Solutions, and by The Metabolomics Innovation Centre (TMIC), a nationally-funded research and core facility that supports a wide range of cutting-edge metabolomic studies. TMIC is funded by Genome Alberta, Genome British Columbia, and Genome Canada, a not-for-profit organization that is leading Canada's national genomics strategy with $900 million in funding from the federal government.