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Cancer Cell
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Undifferentiated Sarcomas Develop through Distinct Evolutionary Pathways

Authors: Steele, Christopher D.; Tarabichi, Maxime; Oukrif, Dahmane; Webster, Amy P.; Ye, Hongtao; Fittall, Matthew; Lombard, Patrick; +18 Authors

Undifferentiated Sarcomas Develop through Distinct Evolutionary Pathways

Abstract

Undifferentiated sarcomas (USARCs) of adults are diverse, rare, and aggressive soft tissue cancers. Recent sequencing efforts have confirmed that USARCs exhibit one of the highest burdens of structural aberrations across human cancer. Here, we sought to unravel the molecular basis of the structural complexity in USARCs by integrating DNA sequencing, ploidy analysis, gene expression, and methylation profiling. We identified whole genome duplication as a prevalent and pernicious force in USARC tumorigenesis. Using mathematical deconvolution strategies to unravel the complex copy-number profiles and mutational timing models we infer distinct evolutionary pathways of these rare cancers. In addition, 15% of tumors exhibited raised mutational burdens that correlated with gene expression signatures of immune infiltration, and good prognosis.

Countries
Belgium, United Kingdom
Keywords

SELECTION, sarcoma, copy-number signatures, Ecology,Evolution & Ethology, Gene Expression Profiling -- methods, Gene Duplication, Human Biology & Physiology, cancer evolution, DNA -- methods, Sarcoma, Sciences bio-médicales et agricoles, Prognosis, CANCER, TUMORS, SOFT-TISSUE SARCOMA, Oncology, Sequence Analysis, Life Sciences & Biomedicine, Genetics & Genomics, PACKAGE, EXPRESSION, 3101 Biochemistry and cell biology, tumor mutational burden, Evolution, Sarcoma -- genetics, mutational signatures, CLASSIFICATION, Article, Evolution, Molecular, 3211 Oncology and carcinogenesis, genomics, Humans, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis, immuno-oncology, Computational & Systems Biology, Science & Technology, Ploidies, Gene Expression Profiling, Molecular, Cell Biology, Sequence Analysis, DNA, DNA Methylation, Tumour Biology, SUPER-ENHANCERS, FREQUENT MUTATION, Mutation, PATTERNS, 1109 Neurosciences

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    102
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
102
Top 1%
Top 10%
Top 1%
Green
hybrid