ArticleJournal of immunology (Baltimore, Md. : 1950)2014
Intraclonal diversity in follicular lymphoma analyzed by quantitative ultradeep sequencing of noncoding regions.
Article in Journal of immunology (Baltimore, Md. : 1950), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Subclonal TP53 mutations are frequent and predict resistance to radioimmunotherapy in follicular lymphoma.Blood advances · 2023Trial
- Trial
- Article
- Unraveling Tumor Heterogeneity in an Apparently Monolithic Disease: BCL2 and Other Players in the Genetic Landscape of Nodal Follicular Lymphoma.Frontiers in medicine · 2019Review
- The Common Key to Class-Switch Recombination and Somatic Hypermutation: Discovery of AID and Its Role in Antibody Gene Diversification.Journal of immunology (Baltimore, Md. : 1950) · 2018Article
- Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA.Science translational medicine · 2016Article
- Integrative systems medicine approaches to identify molecular targets in lymphoid malignancies.Journal of translational medicine · 2016Review
- New developments in the pathology of malignant lymphoma: a review of the literature published from October 2014-December 2014.Journal of hematopathology · 2015Review
- Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation.Genome medicine · 2015Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Cancers are characterized by genomic instability, and the resulting intraclonal diversity is a prerequisite for tumor evolution. Therefore, metrics of tumor heterogeneity may prove to be clinically meaningful. Intraclonal heterogeneity in follicular lymphoma (FL) is apparent from studies of somatic hypermutation (SHM) caused by activation-induced deaminase (AID) in IGH. Aberrant SHM (aSHM), defined as AID activity outside of the IG loci, predominantly targets noncoding regions causing numerous "passenger" mutations, but it has the potential to generate rare significant "driver" mutations. The quantitative relationship between SHM and aSHM has not been defined. To measure SHM and aSHM, ultradeep sequencing (>20,000-fold coverage) was performed on IGH (~1650 nt) and nine other noncoding regions potentially targeted by AID (combined 9411 nt), including the 5' untranslated region of BCL2. Single-nucleotide variants (SNVs) were found in 12/12 FL specimens (median 136 SHMs and 53 aSHMs). The aSHM SNVs were associated with AID motifs (p < 0.0001). The number of SNVs at BCL2 varied widely among specimens and correlated with the number of SNVs at eight other potential aSHM sites. In contrast, SHM at IGH was not predictive of aSHM. Tumor heterogeneity is apparent from SNVs at low variant allele frequencies; the relative number of SNVs with variable allele frequency < 5% varied with clinical grade, indicating that tumor heterogeneity based on aSHM reflects a clinically meaningful parameter. These data suggest that genome-wide aSHM may be estimated from aSHM of BCL2 but not SHM of IGH. The results demonstrate a practical approach to the quantification of intratumoral genetic heterogeneity for clinical specimens.
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