Objective: Renal cancer is the most lethal among urological cancer. Treatments of renal cell carcinoma (RCC) may be possible by immune checkpoint inhibitors and drug treatment targeting different molecules. We aimed to determine the apoptotic effect of betulinic acid and its effects on expressions of apoptosisassociated genes AKT-1 and mTOR in RCC cells. Material and methods: In this study, we investigated the apoptotic activity of betulinic acid in CAKI-2 cell line and its effect on AKT-1 and mTOR gene expression levels. In order to do so, following analyses were conducted: WST-1 to identify the toxic effect of betulinic acid, Caspase-3/BCA to detect caspase enzyme activity, Annexin-V and ELISA to determine for apoptotic effect, and finally, real-time PCR for expression levels of AKT-1 and mTOR. Results: Our study showed that different concentrations of betulinic acid induced apoptosis in renal cancer; however, no effect was observed in healthy cells. In gene expression analysis, there was statistically significant decrease in AKT-1 expression level while increasing mTOR expression level. Conclusion: We suggested that betulinic acid with its apoptotic effect on RCC line and nontoxic effect on healthy cell line and the effects on AKT/mTOR pathway may be a potential anticancer drug promising for future studies. Cite this article as: Atas MN, Ertug˘rul B, _ Iplik ES, Çakmakog˘lu B, Ergen A. Effects of betulinic acid on AKT/mTOR pathway in renal cell carcinoma. Turk J Urol. 2022; 48(1): 58-63

Objective(s): Colon cancer is risen up with its complex mechanism that directly impacts on its treatment as well as its common prevalence. Mesenchymal stem cells (MSCs) have been considered as a therapeutic candidate for conventional disease including cancer. In this research, we have focused on apoptotic effects of adipose tissue-derived MSCs in colon cancer.Materials and Methods: MSCs were obtained from adipose tissue and characterized by Flowcytometer using suitable antibodies. MSCs, HT-29, HCT-116, RKO and healthy cell line MRC5 were cultured by different seeding procedure. After cell viability assay, changes in caspase 3 enzyme activity and the level of phosphatidylserine were measured.Results: For cell viability assay, a 48 hr incubation period was chosen to seed all cells together. There was a 1.36-fold decrease in caspase 3 enzyme activity by co-treatment of RKO and MSCs in addition to 2.02-fold decrease in HT-29 and MSCs co-treatment, and 1.103-fold increase in HCT-116 and MSCs. The results demonstrated that HCT-116 led to the highest rate of apoptotic cell death (7.5%) compared with other cells.Conclusion: We suggest that MSCs might remain a new treatment option for cancer by its differentiation and repair capacity.

Granulomatous mastitis (GM) is a rare, benign, but chronic and recurrent inflammatory breast disease that significantly impacts physical and psychological well-being. It often presents symptoms such as pain, swelling, and discharge, leading to diagnostic confusion with malignancy. The etiology of GM remains unclear, though autoimmune and multifactorial components are suspected. This study aimed to explore the genetic underpinnings of GM using whole-exome sequencing (WES) on 22 GM patients and 52 healthy controls to identify single nucleotide variants (SNVs) and copy number variations (CNVs) potentially linked to the disease. WES analysis revealed novel SNVs in six genes: BRCA2 (rs169547), CFTR (rs4727853), NCF1 (rs10614), PTPN22 (rs2476601), HLA-DRB1 (seven variants), and C3 (rs406514). Notably, most of these variants are associated with immune regulation and inflammatory pathways, supporting the hypothesis that GM is an autoimmune disease. However, all identified variants were classified as benign according to the American College of Medical Genetics and Genomics (ACMG) guidelines, necessitating further investigation into their potential functional effects. Despite conducting CNV analysis, no significant variations were identified. This study represents a foundational step in linking genetic predisposition to GM and highlights the need for integrating genetic, clinical, and functional data to better understand GM’s pathophysiology. Future research should focus on larger cohorts, functional studies, and exploring multifactorial contributors to GM, including hormonal and environmental factors.