ArticleCancer genetics2018
Clinical, pathologic, cytogenetic, and molecular profiling in self-identified black women with uterine leiomyomata.
Article in Cancer genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Exclusive research is bad science: the epidemiologic argument for diversity, equity, and inclusion in research.International journal of epidemiology · 2026Article
- Temporary uterine artery blocking and uterine artery embolization in treating cesarean scar pregnancy.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2024Article
- Pulmonary benign metastasizing leiomyoma: a case description and analysis of the literature.Quantitative imaging in medicine and surgery · 2024Article
- Whole exon capture sequencing for identifying mutations associated with pulmonary benign metastasising leiomyoma.BMJ case reports · 2023Article
- Benign Metastasizing Leiomyomatosis to the Skin and Lungs, Intravenous Leiomyomatosis, and Leiomyomatosis Peritonealis Disseminata: A Series of Five Cases.The oncologist · 2022Article
- Summary of the Proceedings of the Basic Science of Uterine Fibroids Meeting: New Developments February 28, 2020.F&S science · 2021Article
- Integrating Intersectionality Into the Exposome Paradigm: A Novel Approach to Racial Inequities in Uterine Fibroids.American journal of public health · 2021Article
- Molecular and clinicopathologic characterization of intravenous leiomyomatosis.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020Article
- Understanding Obesity as a Risk Factor for Uterine Tumors Using Drosophila.Advances in experimental medicine and biology · 2019Review
- A Novel Cryptic t(2;3)(p21;q25) Translocation Fuses theCancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Black women are disproportionately affected by uterine leiomyomata (UL), or fibroids, compared to other racial groups, having a greater lifetime risk of developing UL and an earlier age of diagnosis. In order to elucidate molecular and genetic mechanisms responsible for the increased prevalence and morbidity associated with UL in black women, clinical, pathologic, cytogenetic, and select molecular profiling (MED12 mutation analysis) of 75 self-reported black women undergoing surgical treatment for UL was performed. Our observations are broadly representative of previous cytogenetic studies of UL: karyotypically abnormal tumors were detected in 30.7% of women and 17.4% of analyzed tumors. No notable association was observed between race and increased occurrence of cytogenetic abnormalities that might contribute to any population-specific morbidity or prevalence rate. Our data on MED12 mutation analyses (73.2% of tumors harbored a MED12 mutation) provide additional support for a significant role of MED12 in tumorigenesis. Although the effect of MED12-mediated tumorigenesis appears significant irrespective of race, other genetic events such as the distribution of karyotypic abnormalities appear differently in black women. This case series indicates that presently recognized genetic and molecular characteristics of UL do not appear to explain the increased prevalence and morbidity of UL in black women.
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Registered trials
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.