Immunogenetic Architecture of Chronic Lymphocytic Leukemia at Early Stage: Insights from the O-CLL1 Cohort
Davide Bagnara, Andrea Nicola Mazzarello, Monica Colombo, Ennio Nano, Niccolò Cardente, Fabiana Ferrero, Nadia Bertola, Vanessa Cossu, Fabio Ghiotto, Adalberto Ibatici, Emanuele Angelucci, Antonino Neri, Massimo Gentile, Fortunato Morabito, Manlio Ferrarini, Giovanna Cutrona

TL;DR
This study examines the immunoglobulin gene patterns in early-stage chronic lymphocytic leukemia, revealing insights into how the disease evolves.
Contribution
The study identifies a biased immunoglobulin repertoire in early CLL, highlighting antigen-driven selection as a key factor.
Findings
The IGHV repertoire in early CLL closely mirrors that of a real-world cohort, suggesting it is defined at diagnosis.
Subset #4 is over-represented in mutated IGHV cases, indicating selective expansion rather than recombinational bias.
Subset #4 cases retain canonical HCDR3 motifs and show similar treatment timelines to other mutated CLL cases.
Abstract
Background/Objectives: The immunoglobulin heavy-chain variable (IGHV) gene repertoire represents a characteristic feature of chronic lymphocytic leukemia (CLL), although its configuration is not well defined at the early disease stages. The IGHV repertoire of a cohort of early CLL patients was analyzed and compared to that of a “real-world” reference cohort. Methods: Patients from the O-CLL1 observational protocol, which enrolled only Binet stage A cases within twelve months from diagnosis, were studied. IGHV/IGHJ rearrangements were sequenced and annotated following ERIC recommendations, and stereotyped subsets were assigned using ARResT/AssignSubsets. The repertoire features were compared with the dataset of a real-world cohort of patients with heterogeneous staging (CTR cohort) and with published early-diagnosis series. Results: IGHV and IGHJ gene distributions and HCDR3-length…
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Taxonomy
TopicsChronic Lymphocytic Leukemia Research · Phagocytosis and Immune Regulation · T-cell and B-cell Immunology
