miRNA levels are associated with body mass index in endometrial cancer and may have implications for therapy.
Gloria RavegniniFrancesca GoriniCamelia Alexandra CoadăAntonio De LeoDario de BiaseStella Di ConstanzoEugenia De CrescenzoEmma CoschinaSarah MonesmithPaolo BernanteSilvia GarelliFrancesca BalsamoRaffaella ArfèPierandrea De IacoSabrina AngeliniAnna Myriam PerronePublished in: Cancer science (2024)
Endometrial cancer (EC) is the most prevalent gynecological cancer in high-income countries. Its incidence is skyrocketing due to the increase in risk factors such as obesity, which represents a true pandemic. This study aimed to evaluate microRNA (miRNA) expression in obesity-related EC to identify potential associations between this specific cancer type and obesity. miRNA levels were analyzed in 84 EC patients stratified based on body mass index (BMI; ≥30 or <30) and nine noncancer women with obesity. The data were further tested in The Cancer Genome Atlas (TCGA) cohort, including 384 EC patients, 235 with BMI ≥30 and 149 with BMI <30. Prediction of miRNA targets and analysis of their expression were also performed to identify the potential epigenetic networks involved in obesity modulation. In the EC cohort, BMI ≥30 was significantly associated with 11 deregulated miRNAs. The topmost deregulated miRNAs were first analyzed in 84 EC samples by single miRNA assay and then tested in the TCGA dataset. This independent validation provided further confirmation about the significant difference of three miRNAs (miR-199a-5p, miR-449a, miR-449b-5p) in normal-weight EC patients versus EC patients with obesity, resulting significantly higher expressed in the latter. Moreover, the three miRNAs were significantly correlated with grade, histological type, and overall survival. Analysis of their target genes revealed that these miRNAs may regulate obesity-related pathways. In conclusion, we identified specific miRNAs associated with BMI that are potentially involved in modulating obesity-related pathways and that may provide novel implications for the clinical management of obese EC patients.
Keyphrases
- weight gain
- body mass index
- weight loss
- metabolic syndrome
- insulin resistance
- type diabetes
- endometrial cancer
- end stage renal disease
- high fat diet induced
- risk factors
- newly diagnosed
- chronic kidney disease
- ejection fraction
- prognostic factors
- peritoneal dialysis
- poor prognosis
- bariatric surgery
- papillary thyroid
- physical activity
- adipose tissue
- dna methylation
- squamous cell carcinoma
- stem cells
- mental health
- deep learning
- transcription factor
- drug induced
- high throughput
- sars cov
- electronic health record
- bone marrow
- signaling pathway
- artificial intelligence
- body weight