Characterization of stem cell landscape and assessing the stemness degree to aid clinical therapeutics in hematologic malignancies.

ABSTRACT: Hematological malignancies are a group of cancers that affect the blood, bone marrow, and lymphatic system. Cancer stem cells (CSCs) are believed to be responsible for the initiation, progression, and relapse of hematological malignancies. However, identifying and targeting CSCs presents many challenges. We aimed to develop a stemness index (HSCsi) to identify and guide the therapy targeting CSCs in hematological malignancies. We developed a novel one-class logistic regression (OCLR) algorithm to identify transcriptomic feature sets related to stemness in hematologic malignancies. We used the HSCsi to measure the stemness degree of leukemia stem cells (LSCs) and correlate it with clinical outcomes.We analyze the correlation of HSCsi with genes and pathways involved in drug resistance and i

SUBMITTER: Feng YD 

PROVIDER: S-EPMC11466975 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature