Leukemia circulation kinetics revealed through blood exchange method.
Alex B MillerFelicia H RodriguezAdam LangenbucherLin LinChristina BraySarah DuquetteYe ZhangDan GouletAndrew A LaneDavid M WeinstockMichael T HemannScott R ManalisPublished in: Communications biology (2024)
Leukemias and their bone marrow microenvironments undergo dynamic changes over the course of disease. However, little is known about the circulation kinetics of leukemia cells, nor the impact of specific factors on the clearance of circulating leukemia cells (CLCs) from the blood. To gain a basic understanding of CLC dynamics over the course of disease progression and therapeutic response, we apply a blood exchange method to mouse models of acute leukemia. We find that CLCs circulate in the blood for 1-2 orders of magnitude longer than solid tumor circulating tumor cells. We further observe that: (i) leukemia presence in the marrow can limit the clearance of CLCs in a model of acute lymphocytic leukemia (ALL), and (ii) CLCs in a model of relapsed acute myeloid leukemia (AML) can clear faster than their untreated counterparts. Our approach can also directly quantify the impact of microenvironmental factors on CLC clearance properties. For example, data from two leukemia models suggest that E-selectin, a vascular adhesion molecule, alters CLC clearance. Our research highlights that clearance rates of CLCs can vary in response to tumor and treatment status and provides a strategy for identifying basic processes and factors that govern the kinetics of circulating cells.
Keyphrases
- acute myeloid leukemia
- bone marrow
- induced apoptosis
- allogeneic hematopoietic stem cell transplantation
- cell cycle arrest
- circulating tumor cells
- mesenchymal stem cells
- endoplasmic reticulum stress
- acute lymphoblastic leukemia
- signaling pathway
- machine learning
- electronic health record
- staphylococcus aureus
- oxidative stress
- single cell
- diffuse large b cell lymphoma
- cystic fibrosis
- combination therapy
- liver failure
- artificial intelligence
- aortic dissection
- drug induced
- big data