Stanford Advisors

Contact

  • Academic
    arendscm@stanford.edu
    University - Scholar Department: Pathology Position: Postdoctoral Scholar

Additional Info

  • Mail Code: 5324

All Publications

  • Gene-Specific Machine Learning Models to Classify Driver Mutations in Clonal Hematopoiesis. Cancer discovery Arends, C. M., Jaiswal, S. 2024; 14 (9): 1581-1583

    Abstract

    There is no general consensus on the set of mutations capable of driving the age-related clonal expansions in hematopoietic stem cells known as clonal hematopoiesis, and current variant classifications typically rely on rules derived from expert knowledge. In this issue of Cancer Discovery, Damajo and colleagues trained and validated machine learning models without prior knowledge of clonal hematopoiesis driver mutations to classify somatic mutations in blood for 12 genes in a purely data-driven way. See related article by Demajo et al., p. 1717 (9).

    View details for DOI 10.1158/2159-8290.CD-24-0751

    View details for PubMedID 39228297

  • Dynamics of clonal hematopoiesis and risk of hematologic malignancy. International journal of hematology Arends, C. M., Jaiswal, S. 2024

    Abstract

    The age-related expansion of hematopoietic stem cell clones carrying somatic mutations is known as clonal hematopoiesis and is linked to hematologic malignancies, cardiovascular diseases, and increased mortality. As the risk for adverse outcomes increases substantially with clone size, a precise understanding of the mechanisms that promote clonal expansion is crucial to identify potential therapeutic targets. Clonal expansion and progression to myeloid malignancies are driven by a complex interplay of cell-intrinsic and extrinsic factors that remain incompletely understood. Here, we review how recently proposed methods to estimate clonal expansion rates have been implemented to study the natural history of clonal hematopoiesis and identify factors that promote clonal expansion. We discuss how these factors relate to progression to myeloid malignancies and recapitulate recent risk prediction models. While we are still in the early stages of understanding clonal expansion, analysis of large-scale biobank data in combination with experimental models will help to discover causal factors promoting or suppressing clone growth, define mechanisms, and identify potential targets for clinical intervention in the future.

    View details for DOI 10.1007/s12185-024-03829-6

    View details for PubMedID 39112743

  • Clonal Hematopoiesis in Whole-Blood and Cell-Free DNA of Ovarian Cancer Patients Undergoing PARP-Inhibitor Treatment: An Exploratory Analysis of the ENGOTov48/Eudario Trial Arends, C., Kopp, K., Estrada-Barreras, N., Hablesreiter, R., Concin, N., Moll, U., Zeilinger, R., Schmitt, W., Sehouli, J., Kulbe, H., Ray-Coquard, I., Zeimet, A., Raspagliesi, F., Zamagni, C., Vergote, I., Lorusso, D., Bullinger, L., Braicu, E., Damm, F. AMER SOC HEMATOLOGY. 2023

    View details for DOI 10.1182/blood-2023-184768

    View details for Web of Science ID 001159306705078