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Chimeric fusion genes are highly prevalent in childhood acute lymphoblastic leukemia (ALL) and are mostly prenatal, early genetic events in the evolutionary trajectory of this cancer. ETV6-RUNX1-positive ALL also has multiple ( approximately 6 per case) copy number alterations (CNAs) as revealed by genome-wide single-nucleotide polymorphism arrays. Recurrent CNAs are probably "driver" events contributing critically to clonal diversification and selection, but at diagnosis, their developmental timing is "buried" in the leukemia's covert natural history. This conundrum can be resolved with twin pairs. We identified and compared CNAs in 5 pairs of monozygotic twins with concordant ETV6-RUNX1-positive ALL and 1 pair discordant for ETV6-RUNX1 positive ALL. We compared, within each pair, CNAs classified as potential "driver" or "passenger" mutations based upon recurrency and, where known, gene function. An average of 5.1 (range 3-11) CNAs (excluding immunoglobulin/T-cell receptor alterations) were identified per case. All "driver" CNAs (total of 32) were distinct within each of the 5 twin pairs with concordant ALL. "Driver" CNAs in another twin with ALL were all absent in the shared ETV6-RUNX1-positive preleukemic clone of her healthy co-twin. These data place all "driver" CNAs secondary to the prenatal gene fusion event and most probably postnatal in the sequential, molecular pathogenesis of ALL.
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http://dx.doi.org/10.1182/blood-2009-10-251413 | DOI Listing |
Commun Biol
December 2024
Department of Hematology, Peking University First Hospital, Beijing, China.
NPJ Precis Oncol
November 2024
Department of Urology, University of California San Diego, La Jolla, CA, USA.
Int J Clin Oncol
December 2024
Department of Dermatology, Sapporo Medical University School of Medicine, South 1, West 16, Chuo-ku, Sapporo, 060-8543, Japan.
Genome Med
August 2024
Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Bioinformatics
August 2024
School of Computing, University of Connecticut, Storrs, CT 06082, United States.
Motivation: Advances in whole-genome single-cell DNA sequencing (scDNA-seq) have led to the development of numerous methods for detecting copy number aberrations (CNAs), a key driver of genetic heterogeneity in cancer. While most of these methods are limited to the inference of total copy number, some recent approaches now infer allele-specific CNAs using innovative techniques for estimating allele-frequencies in low coverage scDNA-seq data. However, these existing allele-specific methods are limited in their segmentation strategies, a crucial step in the CNA detection pipeline.
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