Study unveils novel bladder cancer diagnostic model based on key mitochondrial genes

By Dr. Liji Thomas, MDApr 24 2024Reviewed by Lily Ramsey, LLM With millions of cases of bladder cancer around the world, the need for tools to ensure a timely diagnosis of this condition is a matter of concern. Scientists recently used mitochondrial-related genes , known to be involved in the progression of the disease, to build a novel diagnostic model using machine learning .

Although bladder cancer is more prevalent in developed populations, its prognosis remains relatively poor despite medical advancements. This has driven the development of better diagnostic tools, prognostic models, and therapeutic approaches. Additionally, mitochondrial abnormalities can cause oxidative stress on cellular components such as DNA and proteins, increasing cancer risk, conferring resistance to cancer therapies, and promoting tumor growth.

What did the study show? The researchers analyzed 165 bladder cancer samples and 67 controls to study the differential expression of mitochondrial-related genes . They identified 752 differentially expressed MRGs, with 440 showing increased expression and the rest downregulated. These findings were consistent across two additional datasets, demonstrating that this model more effectively differentiates BC from control samples than single gene biomarkers.

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