Predicting Leukemia Survival May Be Aided by Six Gene Scoring System
Researchers studying mice and human data identified a six gene signature, and developed a scorings system, that could help forecast acute myeloid leukemia patient survival, and potentially point to new therapeutic targets. The post Predicting Leukemia Survival May Be Aided by Six Gene Scoring System appeared first on GEN - Genetic Engineering and Biotechnology News .
Researchers at the Centre for Genomic Regulation (CRG) have identified six genes that may help predict survival rates for patients with acute myeloid leukemia (AML). The study, led by ICREA Research Professor Luciano Di Croce, PhD, involved analyzing laboratory experiments with mice and patient records to identify genes that consistently behave in both settings.
The team focused on the gene PHF19, which is known to suppress blood cancer formation, and found that six genes - CARMIL1, HOPX, ALDH1A1, CALR, STAR, and PHF19 - reliably predict AML patient survival.
The collective activity of these six genes, called the PHFScore, divides patients into groups with drastically different survival prospects. Patients with low levels of PHF19 expression had a stemlike transcriptomic profile, which is linked to more chemoresistant leukemias. The findings could help develop new prognostic tests and therapeutic targets for AML.
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