Novel Approaches to Possible Targeted Therapies and Prophylaxis of Uterine Fibroids.
Maria V KuznetsovaNarine M TonoyanElena V TrubnikovaDmitry V ZelenskyKsenia A SvirepovaLeila V AdamyanDmitry Y TrofimovGennady T SukhikhPublished in: Diseases (Basel, Switzerland) (2023)
Uterine leiomyomas are the most common benign tumors in women of childbearing age. They may lead to problems of conception or complications during the gestational period. The methods of treatment include surgical (myomectomy and hysterectomy, embolization of arteries) and therapeutic treatment (ulipristal acetate, leuprolide acetate, cetrorelix, goserelin, mifepristone). Both approaches are efficient but incompatible with pregnancy planning. Therefore, there is a call for medical practice to develop therapeutical means of preventing leiomyoma onset in patients planning on becoming pregnant. Based on the analysis of GWAS data on the search for mononucleotide polymorphisms associated with the risk of leiomyoma, in meta-transcriptomic and meta-methylomic studies, target proteins have been proposed. Prospective therapeutic treatments of leiomyoma may be based on chemical compounds, humanized recombinant antibodies, vaccines based on markers of the uterine leiomyoma cells that are absent in the adult organism, or DNA and RNA preparations. Three different nosological forms of the disease associated with driver mutations in the MED12, HMGA2 , and FH genes should be considered when developing or prescribing drugs. For example, synthetic inhibitors and vaccines based on matrix metalloproteinases MMP11 and MMP16 are expected to be effective only for the prevention of the occurrence of MED12 -dependent nodules.
Keyphrases
- pregnancy outcomes
- primary care
- end stage renal disease
- pregnant women
- healthcare
- ejection fraction
- risk assessment
- peritoneal dialysis
- cell free
- mental health
- metabolic syndrome
- insulin resistance
- polycystic ovary syndrome
- gene expression
- preterm birth
- emergency department
- dna methylation
- type diabetes
- cell migration
- body mass index
- risk factors
- cell cycle arrest
- replacement therapy
- skeletal muscle
- machine learning
- data analysis
- rna seq
- single cell
- smoking cessation
- nucleic acid
- deep learning
- artificial intelligence
- oxidative stress
- circulating tumor cells
- cervical cancer screening