BlaDimir y Bladimir+
BlaDiMir is an innovative diagnostic system designed for the detection of bladder cancer through the analysis of microRNAs (miRNAs) in urine samples. BlaDiMir+ not only focuses on detecting bladder cancer but also on predicting the response to treatment with Bacillus Calmette-Guérin (BCG), which is a standard therapy for non-muscle invasive bladder cancer (NMIBC).
How BlaDiMir Works:
Sample Collection: A urine sample is collected from the patient.
MicroRNA Analysis: The urine sample is analyzed to detect the presence and relative quantity of certain specific microRNAs. miRNAs are small RNA molecules that regulate gene expression, and their alteration can indicate the presence of cancer.
qPCR Technique: The detection and quantification of miRNAs are performed using the real-time polymerase chain reaction (qPCR) technique, which is accessible in most laboratories.
Interpretation of Results: The qPCR results determine whether the levels of certain miRNAs indicate the presence of cancerous cells in the bladder.
Advantages of BlaDiMir:
Non-Invasive: Unlike cystoscopy, which is an invasive procedure, BlaDiMir uses a simple urine sample.
High Precision: BlaDiMir has demonstrated high sensitivity (90.5%) and specificity (97%) in detecting bladder cancer.
Early Detection: It can detect bladder cancer at early stages, which is crucial for effective treatment.
Efficient Monitoring: Facilitates the follow-up of patients who have already been treated, helping to detect recurrences early and less painfully.
Prediction of Treatment Response: BlaDiMir+ can predict the efficacy of BCG treatment, allowing for better treatment personalization and avoiding unnecessary side effects in patients who would not respond to BCG.
Economic Impact:
Cost Reduction: Being less expensive than cystoscopy and reducing the need for ineffective treatments, BlaDiMir can significantly reduce the costs associated with managing bladder cancer.
Resource Optimization: By identifying which patients will benefit from BCG treatment, the use of healthcare resources is optimized.