Mathematical Model Helps Predict Cancer Tumor Size
The study was published in the Aug. 18 issue of the journal PLoS Medicine.
The Stanford researchers developed their mathematical model using two common blood biomarkers: prostate specific antigen (PSA), which is often elevated in prostate cancer, and CA125, used as a marker for follow-up therapy in ovarian cancer patients.
This model help to find blood biomarkers that can help doctors estimate the size of cancer tumors has been developed by researchers at Stanford University.
The team says its work may help guide development of new tests to improve early detection of cancer. Currently, there's no reliable method of using the results of blood-screening tests to gauge tumor size.
Using this model, the researchers found that the minimum tumor sizes predicted by their calculations were close to what was actually seen in clinical practice.Early cancer detection is a very challenging but important goal for the cancer field. This modeling work enables a very deep understanding of the problems that will have to be solved for blood-based cancer biomarkers to be successful in this effort