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Kortine Kleinheinz

Researcher at German Cancer Research Center

Publications -  46
Citations -  6670

Kortine Kleinheinz is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Genome & Biology. The author has an hindex of 24, co-authored 38 publications receiving 3900 citations. Previous affiliations of Kortine Kleinheinz include Technical University of Denmark & Heidelberg University.

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Pan-cancer analysis of whole genomes

Peter J. Campbell, +1332 more
- 06 Feb 2020 - 
TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.
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The landscape of genomic alterations across childhood cancers

Susanne Gröbner, +185 more
- 15 Mar 2018 - 
TL;DR: The data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials.
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The whole-genome landscape of medulloblastoma subtypes

Paul A. Northcott, +95 more
- 19 Jul 2017 - 
TL;DR: The application of integrative genomics to an extensive cohort of clinical samples derived from a single childhood cancer entity revealed a series of cancer genes and biologically relevant subtype diversity that represent attractive therapeutic targets for the treatment of patients with medulloblastoma.
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The evolutionary history of 2,658 cancers

Moritz Gerstung, +64 more
- 06 Feb 2020 - 
TL;DR: Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.
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Decoding the regulatory landscape of medulloblastoma using DNA methylation sequencing

TL;DR: This comprehensive data set allowed us to decipher several features underlying the interplay between the genome, epigenome and transcriptome, and its effects on medulloblastoma pathophysiology, including highly prevalent regions of hypomethylation correlating with increased gene expression and focal regions of low methylation linked to transcription-factor-binding sites shed light on differential transcriptional networks between subgroups.