Epithelial Cells of Deep Infiltrating Endometriosis Harbor Mutations in Cancer Driver Genes.
Agnieszka KoppoluRadosław B MaksymWiktor PaskalMarcin MachnickiBeata RakMonika PępekFilip GarbiczKacper PełkaZofia KuśmierczykJoanna JackoMalgorzata RydzaniczMagdalena Banach-OrłowskaStokłosa TomaszRafał PłoskiJacek MalejczykPaweł K WłodarskiPublished in: Cells (2021)
Endometriosis is an inflammatory condition manifested by the presence of endometrial-like tissue outside of the uterine cavity. The most common clinical presentations of endometriosis are dysmenorrhea, infertility, and severe pelvic pain. Few hypotheses attempt to explain the pathogenesis of endometriosis; however, none of the theories have been fully confirmed or considered universal. We examined somatic mutations in eutopic endometrium samples, deep endometriotic nodules and peripheral blood from 13 women with deep endometriosis of the rectovaginal space. Somatic variants were identified in laser microdissected samples using next-generation sequencing. A custom panel of 1296 cancer-related genes was employed, and selected genes representing cancer drivers and non-drivers for endometrial and ovarian cancer were thoroughly investigated. All 59 detected somatic variants were of low mutated allele frequency (<10%). In deep ectopic lesions, detected variants were significantly more often located in cancer driver genes, whereas in eutopic endometrium, there was no such distribution. Our results converge with other reports, where cancer-related mutations were found in endometriosis without cancer, particularly recurrent KRAS mutations. Genetic alterations located in ectopic endometriotic nodules could contribute to their formation; nevertheless, to better understand the pathogenesis of this disease, more research in this area must be performed.
Keyphrases
- papillary thyroid
- copy number
- squamous cell
- genome wide
- oxidative stress
- lymph node metastasis
- gene expression
- squamous cell carcinoma
- metabolic syndrome
- chronic pain
- early onset
- young adults
- pain management
- mass spectrometry
- dna methylation
- transcription factor
- rectal cancer
- bioinformatics analysis
- adverse drug
- genome wide analysis
- spinal cord
- endometrial cancer
- electronic health record
- drug induced
- cell free