A new study has found that a gene classifier can help to identify the risk of pre-breast cancer progression. The study, which was conducted by researchers at the University of Michigan, looked at a group of women with early-stage breast cancer.
The researchers found that the gene classifier could correctly identify which women were at high risk for their cancer progression to a more advanced stage. The gene classifier works by looking at the activity of certain genes in the breast cancer tumor.
The results of the study suggest that the gene classifier could be used to help identify women who are at high risk for their cancer progressing. This could help to improve the effectiveness of treatment and potentially save lives.
Pre-breast cancer is a condition in which the breast cells begin to change and grow out of control, but have not yet spread to other parts of the body. Although the majority of pre-breast cancer cases will not progress to full-blown breast cancer, there is currently no way to predict which cases will progress and which will not.
Now, a team of researchers from the University of Michigan has developed a gene classifier that can predict the risk of pre-breast cancer progression with up to 85% accuracy. The new classifier is based on a analysis of the expression of certain genes in the breast tissue of women with pre-breast cancer.
The researchers say that the new classifier could be used to help guide treatment decisions for women with pre-breast cancer. For instance, women at high risk of progression could be monitored more closely, while those at low risk could be spared from unnecessary tests and treatments.
The new study appears in the journal Cancer Research.
