Detecting the stable point of therapeutic effect of chronic myeloid leukemia based on dynamic network biomarkers.

ABSTRACT:

Background

Most researches of chronic myeloid leukemia (CML) are currently focused on the treatment methods, while there are relatively few researches on the progress of patients' condition after drug treatment. Traditional biomarkers of disease can only distinguish normal state from disease state, and cannot recognize the pre-stable state after drug treatment.

Results

A therapeutic effect recognition strategy based on dynamic network biomarkers (DNB) is provided for CML patients' gene expression data. With the DNB criteria, the DNB with 250 genes is selected and the therapeutic effect index (TEI) is constructed for the detection of individual disease. The pre-stable state before the disease condition becomes stable is 1 month. Through functional analysis for the DNB, some g

SUBMITTER: Xu J 

PROVIDER: S-EPMC6509869 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature