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Nienhold, R.

Publications and source records attributed to Nienhold, R..

2 recordsLinked to original sources

SAUNA - Simulated Annealing for Unique Nucleosome Arrangements from Cell-Free DNA-Sequencing Data

WithdrawalThis preprint has been withdrawn by the authors. While the preprint cites the work by Schoepflin et al. (2013) (reference [20] in the preprint), it has been brought to the authors attention that the preprint may not appropriately acknowledge the extent to which their work depends on the work by Schoepflin et al. (2013). The authors apologize for this oversight and want to emphasize that they did not intend to misattribute the work of Schoepflin et al. (2013) and want to thank them for the code of NucPosSimulator which is a core component of SAUNAs algorithm. Therefore, the authors do not wish this work to be cited as reference for the project. For any questions, please contact the corresponding author.

bioinformatics↗

Impact of clonal architecture on clinical course and prognosis in patients with myeloproliferative neoplasms

Myeloproliferative neoplasms (MPNs) are caused by a somatic gain-of-function mutation in one of three "disease driver" genes JAK2, MPL or CALR. About half of MPN patients also carry additional somatic mutations that modify the clinical course. The order of acquisition of these gene mutations has been proposed to influence the phenotype and evolution of the disease. We studied 50 JAK2-V617F-positive MPN patients who carried at least one additional somatic mutation and determined the clonal architecture of their hematopoiesis by sequencing DNA from single cell derived colonies. In 22 of these patients we also side-by-side applied Tapestri single-cell DNA sequencing (scDNAseq) with cells from the same blood sample. The clonal architectures derived by the two methods showed good overall concordance. scDNAseq showed higher sensitivity for mutations with low variant allele fraction, but had more difficulties distinguishing between heterozygous and homozygous mutations. By unsupervised analysis of clonal architecture data from all 50 MPN patients we defined 4 distinct clusters that differed by the order of acquisition of the mutations, and the complexity of the subclonal structure. Cluster 4, characterized by more complex subclonal structure without a preferred order of acquisition, correlated with reduced overall survival, and in multivariate analysis represented a risk factor independent of the MPN subtype or the age at diagnosis. Our results suggest that deciphering the clonal architecture in patients with MPN that carry multiple gene mutations can improve the molecular prognostic stratification that until now was primarily based on the number and type of gene mutations.

cancer biology↗