- Accurately prediction of the risk of colorectal cancer recurrence by analyzing six microRNAs (miRNAs) in patient samples.
- The miRNA panel provides distinctive signatures for identifying the source of metastases and correlates with recurrence-free survival.
- The method enables personalized treatment by administering therapeutic agents based on the determined risk of recurrence.
OVERVIEW
Colorectal cancer (CRC) is a major cause of cancer mortality worldwide. Georgetown researchers developed A Method of predicting recurrence of colorectal cancer by measuring a combination of six microRNAs (miRNAs) taken from a patient samples, where evaluating the hierarchical clustering of the six circulating miRNAs indicates the risk of cancer recurrence. Thismethod offers a solution for predicting the risk of CRC recurrence by measuring six miRNAs in patient samples. The hierarchical clustering of these miRNAs indicates the probability of cancer recurrence, providing valuable information for personalized treatment. Additionally, the miRNA panel helps identify the organ source of metastases and correlates with recurrence-free survival. By administering therapeutic agents based on the determined risk, this method improves treatment outcomes for patients with CRC.
BACKGROUND
Colorectal cancer is a significant public health problem, causing a substantial number of cancer-related deaths globally. Existing diagnostic methods based on biomarkers are limited, and there is a need for approaches that can identify patients at high risk of recurrence. This method addresses this need by utilizing a combination of miRNAs, which have prognostic potential in colon cancer. By analyzing the expression levels of specific miRNAs in tissues, it accurately predicts recurrence risk and allows for personalized treatment decisions.
Benefit
Market Application
Publications
US PatentUS10351913B2
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