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Lymphoma_WGS

The somatic mutational landscape of lymphoma will be characterized using LCMB-WGS.

Type: Whole Genome Sequencing
Archiver: European Genome-phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001016068	Philadelphia-negative myeloproliferative neoplasms are chronic blood neoplasms. Treatments control blood counts but disease can progress to myelofibrosis or acute myeloid leukaemia. We performed longitudinal whole-genome and targeted sequencing in 30 patients, integrating clonal dynamics with 7,986 blood counts and clinical histories. Distinct evolutionary patterns distinguished stable from progressive disease, with leukaemic transformation arising via TP53 loss, stepwise driver mutation acquisition within complex clones, or emergence of independent leukaemic clones. In contrast, stable disease showed long-term clonal equilibrium without new drivers. Phylogenetic analysis using 203 whole-genomes of haematopoietic colonies revealed age-appropriate polyclonal haematopoiesis in triple-negative essential thrombocythaemia and germline predisposition to thrombocytosis, supporting non-neoplastic origins. Therapy-associated mutagenesis was observed, including C>G mutations following azacitidine and characteristic T>A/T>G after hydroxycarbamide exposure in blood cells, although not in skin where UV damage predominated. These findings demonstrate progression is genomically encoded years in advance and support serial monitoring and further study of treatment-related mutagenesis.	Illumina NovaSeq 6000	1

Publications	Citations
Genomic evolution and natural history of myeloproliferative neoplasms on therapy. Leongamornlert D, Lee J, Kamizela AE, To K, Myers D, Williams N, Nyamondo K, Wang X, Guo J, Dissanayake RK, Price J, Durrani AJ, Lambert J, Spencer Chapman M, Pimanda JE, Baxter EJ, Green AR, Godfrey AL, Nangalia J. Cancer Discov None: 2026 None	0