Genomics

Dataset Information

Investigation of relapse prediction in infants with MLL-rearranged Acute Lymphoblastic Leukemia


ABSTRACT: In infants with ALL, accurate relapse prediction would enable treatment strategies that take relapse risk into account, with potential benefits for both low- and high-risk patients. Through analysis of bone marrow biopsies taken at initial diagnosis, we show that single-cell RNA sequencing can predict future relapse occurrence.

PROVIDER: EGAS00001003986 | EGA |

REPOSITORIES: EGA