ArticleLeukemia research2009
Computational identification of CDR3 sequence archetypes among immunoglobulin sequences in chronic lymphocytic leukemia.
Article in Leukemia research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Differences in Vitreous Protein Profiles in Patients With Proliferative Diabetic Retinopathy Before and After Ranibizumab Treatment.Frontiers in medicine · 2022Article
- Pathogenesis of chronic lymphocytic leukemia and the development of novel therapeutic strategies.Journal of clinical and experimental hematopathology : JCEH · 2020Review
- Hematopoietic stem cell aging and chronic lymphocytic leukemia pathogenesis.International journal of hematology · 2014Review
- IGHV gene rearrangements as outcome predictors for CLL patients: experience of Ukrainian group.Medical oncology (Northwood, London, England) · 2012Article
- Article
- Analyses of recombinant stereotypic IGHV3-21-encoded antibodies expressed in chronic lymphocytic leukemia.Journal of immunology (Baltimore, Md. : 1950) · 2011Article
- Immunoglobulin heavy chain variable region gene usage and mutational status of the leukemic B cells in Iranian patients with chronic lymphocytic leukemia.Cancer science · 2009Article
- Intrinsic and extrinsic factors influencing the clinical course of B-cell chronic lymphocytic leukemia: prognostic markers with pathogenetic relevance.Journal of translational medicine · 2009Review
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
The leukemia cells of unrelated patients with chronic lymphocytic leukemia (CLL) display a restricted repertoire of immunoglobulin (Ig) gene rearrangements with preferential usage of certain Ig gene segments. We developed a computational method to rigorously quantify biases in Ig sequence similarity in large patient databases and to identify groups of patients with unusual levels of sequence similarity. We applied our method to sequences from 1577 CLL patients through the CLL Research Consortium (CRC), and identified 67 similarity groups into which roughly 20% of all patients could be assigned. Immunoglobulin light chain class was highly correlated within all groups and light chain gene usage was similar within sets. Surprisingly, over 40% of the identified groups were composed of somatically mutated genes. This study significantly expands the evidence that antigen selection shapes the Ig repertoire in CLL.
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Registered trials
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