Racial disparity in uterine leiomyoma: new insights of genetic and environmental burden in myometrial cells.
Nazeer H KhanRoss P McNallyJ Julie KimJian-Jun WeiPublished in: Molecular human reproduction (2024)
Uterine leiomyoma (LM), also known as uterine fibroids, are common gynecological tumors and can reach a prevalence of 70% among women by the age of 50 years. Notably, the LM burden is much higher in Black women with earlier onset, a greater tumor number, size, and severity compared to White women. Published knowledge shows that there are genetic, environmental, and lifestyle-based risk factors associated with racial disparity for LM. Significant strides have been made on genomic, epigenomic, and transcriptomic data levels in Black and White women to elucidate the underlying pathomolecular reasons of racial disparity in LM development. However, racial disparity of LM remains a major area of concern in gynecological research. This review highlights risk factors of LM and their role in different races. Furthermore, we discuss the genetics and uterine myometrial microenvironment in LM development. Comparative findings revealed that a major racial difference in the disease is linked to myometrial oxidative burden and altered ROS pathways which is relevant to the oxidized guanine in genomic DNA and MED12 mutations that drive the LM genesis. Considering the burden and morbidity of LM, we anticipate that this review on genetic risk and myometrial microenvironment will strengthen understanding and propel the growth of research to address the racial disparity of LM burden.
Keyphrases
- risk factors
- polycystic ovary syndrome
- stem cells
- copy number
- pregnancy outcomes
- genome wide
- healthcare
- gene expression
- cardiovascular disease
- risk assessment
- physical activity
- dna methylation
- randomized controlled trial
- pregnant women
- oxidative stress
- dna damage
- cell death
- systematic review
- cell proliferation
- single molecule
- insulin resistance
- cell cycle arrest
- adipose tissue
- rna seq
- human health
- circulating tumor
- deep learning
- signaling pathway
- climate change
- cervical cancer screening
- nucleic acid