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dc.contributor.author | Sia, Daniela |
---|---|
dc.contributor.author | Llovet i Bayer, Josep Maria |
dc.date | 2019-01-17T12:31:56Z |
dc.date | 2019-01-17T12:31:56Z |
dc.date | 2017-08-02 |
dc.identifier | 2978895 |
dc.identifier.uri | http://hdl.handle.net/2445/127378 |
dc.description | A large-scale comprehensive analysis of hepatocellular carcinoma (HCC) based on the integration of six distinct data platforms has pinpointed novel oncogenic processes and prognostic subgroups. These findings confirm previously identified molecular subclasses and fuel the need for a clear strategy of precision medicine in HCC. |
dc.format | 2 p. |
dc.format | application/pdf |
dc.language | eng |
dc.publisher | Nature Publishing Group |
dc.relation | Versió posprint del document publicat a: https://doi.org/10.1038/nrgastro.2017.103 |
dc.relation | Nature Reviews Gastroenterology & Hepatology, 2017, vol. 14, p. 571-572 |
dc.relation | https://doi.org/10.1038/nrgastro.2017.103 |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/667273/EU//HEP-CAR |
dc.rights | (c) Macmillan Publishers, 2017 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Càncer de fetge |
dc.subject | Immunoteràpia |
dc.subject | Liver cancer |
dc.subject | Immunotherapy |
dc.title | Translating '–omics' results into precision medicine for hepatocellular carcinoma |
dc.type | info:eu-repo/semantics/article |
dc.type | info:eu-repo/semantics/acceptedVersion |