Investigating the Role of ADAM۱۰ in Prognosis of Kidney Renal Clear Cell Carcinoma Patients

Kidney cancer globally accounts for more than ۱۳۰,۰۰۰ deaths each year and in Iran, ۱.۸ people per hundred thousand people suffer from kidney cancer. In adults, clear cell renal cell carcinoma is the most common type of kidney cancer. The extracellular matrix (ECM), comprising a dynamic network of macromolecules, profoundly influences cancer development and therapeutic responses within tumor microenvironments. In kidney renal clear cell carcinoma (KIRC), understanding the complex details of ECM-related genes is crucial for accurate prognostic classification. Our research aims to clarify how the ECM-related gene signature affects the overall survival of KIRC patients. Methods ECM-related gene sets were compiled from the Molecular Signatures Database (MSigDB). Cox regression and Least Absolute Shrinkage and Selection Operator (LASSO) analyses were conducted on KIRC patient groups to identify prognostic genes linked to overall survival. Patients were then divided into high-risk and low-risk groups based on the median value of their risk scores. Kaplan-Meier survival curves were used to illustrate patient outcomes according to the risk groups defined by the model. The model’s ability to distinguish between risk groups was evaluated using Receiver Operating Characteristic (ROC) curves. Results: The prognostic model for KIRC was developed using an ECM-related gene known as ADAM۱۰, identified through Cox and LASSO regression analyses. Our findings indicated that patients in the high-risk group had a poor prognosis compared to those in the low-risk group. Furthermore, ROC curves validated the model’s accuracy in predicting overall survival at one, two, and three years. Conclusion: In this study, we show the impact of ADAM۱۰ on KIRC patients' surveillance in a prognostic model that predicts surveillance precisely. Ultimately, the inclusion of the ECM-related gene significantly enhances the accuracy of prognostic predictions in KIRC. This improvement allows for more precise stratification of patients into risk categories, thereby aiding in better personalized treatment planning and potentially improving overall patient outcomes.

کلیدواژه ها:

kidney cancer ، ECM-related gene ، prognosis ، overall survival