Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 24 von 903
iScience, 2021-10, Vol.24 (10), p.103084-103084, Article 103084
2021
Volltextzugriff (PDF)

Details

Autor(en) / Beteiligte
Titel
A molecular taxonomy of tumors independent of tissue-of-origin
Ist Teil von
  • iScience, 2021-10, Vol.24 (10), p.103084-103084, Article 103084
Ort / Verlag
Elsevier Inc
Erscheinungsjahr
2021
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Cancer is an organism-level disease, impacting processes from cellular metabolism and the microenvironment to systemic immune response. Nevertheless, efforts to distinguish overarching mutational processes from interactions with the cell of origin for a tumor have seen limited success, presenting a barrier to individualized medicine. Here we present a pathway-centric approach, extracting somatic mutational profiles within and between tissues, largely orthogonal to cell of origin, mutational burden, or stage. Known predisposition variants are equally distributed among clusters, and largely independent of molecular subtype. Prognosis and risk of death vary jointly by cancer type and cluster. Analysis of metastatic tumors reveals that differences are largely cluster-specific and complementary, implicating convergent mechanisms that combine familiar driver genes with diverse low-frequency lesions in tumor-promoting pathways, ultimately producing distinct molecular phenotypes. The results shed new light on the interplay between organism-level dysfunction and tissue-specific lesions. [Display omitted] •Pathway-based clustering is applied to reclassify tumors using somatic mutations•Clusters represent distinct molecular features that cut across tissue-of-origin•Risk of death is modelled using tissue origin and cluster membership Genomics; Bioinformatics; Cancer
Sprache
Englisch
Identifikatoren
ISSN: 2589-0042
eISSN: 2589-0042
DOI: 10.1016/j.isci.2021.103084
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_3bac05e12a414a57851a390991f9f246
Format
Schlagworte
Bioinformatics, Cancer, Genomics

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX