Publikation:

Global mapping of cancers : The Cancer Genome Atlas and beyond

Lade...
Vorschaubild

Dateien

Amelio_2-1ayz0kyd5c6rr9.pdf
Amelio_2-1ayz0kyd5c6rr9.pdfGröße: 2.69 MBDownloads: 178

Datum

2021

Autor:innen

Ganini, Carlo
Bertolo, Riccardo
Bove, Pierluigi
Buonomo, Oreste Claudio
Candi, Eleonora
Cipriani, Chiara
Di Daniele, Nicola
Juhl, Hartmut
Melino, Gerry
et al.

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Link zur Lizenz

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Gold
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Molecular oncology. Wiley. 2021, 15(11), pp. 2823-2840. ISSN 1574-7891. eISSN 1878-0261. Available under: doi: 10.1002/1878-0261.13056

Zusammenfassung

Cancer genomes have been explored from the early 2000s through massive exome sequencing efforts, leading to the publication of The Cancer Genome Atlas in 2013. Sequencing techniques have been developed alongside this project and have allowed scientists to bypass the limitation of costs for whole-genome sequencing (WGS) of single specimens by developing more accurate and extensive cancer sequencing projects, such as deep sequencing of whole genomes and transcriptomic analysis. The Pan-Cancer Analysis of Whole Genomes recently published WGS data from more than 2600 human cancers together with almost 1200 related transcriptomes. The application of WGS on a large database allowed, for the first time in history, a global analysis of features such as molecular signatures, large structural variations and noncoding regions of the genome, as well as the evaluation of RNA alterations in the absence of underlying DNA mutations. The vast amount of data generated still needs to be thoroughly deciphered, and the advent of machine-learning approaches will be the next step towards the generation of personalized approaches for cancer medicine. The present manuscript wants to give a broad perspective on some of the biological evidence derived from the largest sequencing attempts on human cancers so far, discussing advantages and limitations of this approach and its power in the era of machine learning.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

artificial intelligence, cancer, molecular signature, omics, whole-genome sequencing

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690GANINI, Carlo, Ivano AMELIO, Riccardo BERTOLO, Pierluigi BOVE, Oreste Claudio BUONOMO, Eleonora CANDI, Chiara CIPRIANI, Nicola DI DANIELE, Hartmut JUHL, Gerry MELINO, 2021. Global mapping of cancers : The Cancer Genome Atlas and beyond. In: Molecular oncology. Wiley. 2021, 15(11), pp. 2823-2840. ISSN 1574-7891. eISSN 1878-0261. Available under: doi: 10.1002/1878-0261.13056
BibTex
@article{Ganini2021Globa-56540,
  year={2021},
  doi={10.1002/1878-0261.13056},
  title={Global mapping of cancers : The Cancer Genome Atlas and beyond},
  number={11},
  volume={15},
  issn={1574-7891},
  journal={Molecular oncology},
  pages={2823--2840},
  author={Ganini, Carlo and Amelio, Ivano and Bertolo, Riccardo and Bove, Pierluigi and Buonomo, Oreste Claudio and Candi, Eleonora and Cipriani, Chiara and Di Daniele, Nicola and Juhl, Hartmut and Melino, Gerry}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/56540">
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/56540/3/Amelio_2-1ayz0kyd5c6rr9.pdf"/>
    <dc:creator>Bertolo, Riccardo</dc:creator>
    <dc:contributor>Di Daniele, Nicola</dc:contributor>
    <dc:contributor>Juhl, Hartmut</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Bove, Pierluigi</dc:contributor>
    <dc:contributor>Cipriani, Chiara</dc:contributor>
    <dc:language>eng</dc:language>
    <dc:creator>Buonomo, Oreste Claudio</dc:creator>
    <dc:creator>Cipriani, Chiara</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:title>Global mapping of cancers : The Cancer Genome Atlas and beyond</dcterms:title>
    <dc:contributor>Melino, Gerry</dc:contributor>
    <dc:contributor>Ganini, Carlo</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-02-14T11:25:27Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Amelio, Ivano</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-02-14T11:25:27Z</dcterms:available>
    <dc:contributor>Amelio, Ivano</dc:contributor>
    <dc:contributor>Candi, Eleonora</dc:contributor>
    <dc:creator>Melino, Gerry</dc:creator>
    <dc:creator>Di Daniele, Nicola</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/56540/3/Amelio_2-1ayz0kyd5c6rr9.pdf"/>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dc:creator>Candi, Eleonora</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/56540"/>
    <dc:contributor>Bertolo, Riccardo</dc:contributor>
    <dc:creator>Ganini, Carlo</dc:creator>
    <dc:creator>Bove, Pierluigi</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dcterms:issued>2021</dcterms:issued>
    <dcterms:abstract xml:lang="eng">Cancer genomes have been explored from the early 2000s through massive exome sequencing efforts, leading to the publication of The Cancer Genome Atlas in 2013. Sequencing techniques have been developed alongside this project and have allowed scientists to bypass the limitation of costs for whole-genome sequencing (WGS) of single specimens by developing more accurate and extensive cancer sequencing projects, such as deep sequencing of whole genomes and transcriptomic analysis. The Pan-Cancer Analysis of Whole Genomes recently published WGS data from more than 2600 human cancers together with almost 1200 related transcriptomes. The application of WGS on a large database allowed, for the first time in history, a global analysis of features such as molecular signatures, large structural variations and noncoding regions of the genome, as well as the evaluation of RNA alterations in the absence of underlying DNA mutations. The vast amount of data generated still needs to be thoroughly deciphered, and the advent of machine-learning approaches will be the next step towards the generation of personalized approaches for cancer medicine. The present manuscript wants to give a broad perspective on some of the biological evidence derived from the largest sequencing attempts on human cancers so far, discussing advantages and limitations of this approach and its power in the era of machine learning.</dcterms:abstract>
    <dc:contributor>Buonomo, Oreste Claudio</dc:contributor>
    <dc:creator>Juhl, Hartmut</dc:creator>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Ja
Diese Publikation teilen