C
Clara Alsinet
Researcher at Wellcome Trust Sanger Institute
Publications - 46
Citations - 5659
Clara Alsinet is an academic researcher from Wellcome Trust Sanger Institute. The author has contributed to research in topics: Cancer & Hepatocellular carcinoma. The author has an hindex of 26, co-authored 41 publications receiving 4801 citations. Previous affiliations of Clara Alsinet include Mount Sinai Hospital & Carlos III Health Institute.
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Journal ArticleDOI
Pivotal Role of mTOR Signaling in Hepatocellular Carcinoma
Augusto Villanueva,Derek Y. Chiang,Pippa Newell,Judit Peix,Swan N. Thung,Clara Alsinet,Victoria Tovar,Sasan Roayaie,Beatriz Minguez,Manel Solé,Carlo Battiston,Stijn van Laarhoven,Maria Isabel Fiel,Analisa Di Feo,Yujin Hoshida,Steven Yea,Sara Toffanin,Alex H. Ramos,John A. Martignetti,Vincenzo Mazzaferro,Jordi Bruix,Samuel Waxman,Myron Schwartz,Matthew Meyerson,Scott L. Friedman,Josep M. Llovet,Josep M. Llovet +26 more
TL;DR: MTOR signaling has a critical role in the pathogenesis of HCC, with evidence for the role of RICTOR in hepato-oncogenesis, and a rationale for targeting the mTOR pathway in clinical trials in HCC is established.
Journal ArticleDOI
Focal Gains of VEGFA and Molecular Classification of Hepatocellular Carcinoma
Derek Y. Chiang,Augusto Villanueva,Yujin Hoshida,Yujin Hoshida,Judit Peix,Philippa Newell,Beatriz Minguez,Amanda LeBlanc,Diana J. Donovan,Swan N. Thung,Manel Solé,Victoria Tovar,Clara Alsinet,Alex H. Ramos,Jordi Barretina,Sasan Roayaie,Myron Schwartz,Samuel Waxman,Jordi Bruix,Vincenzo Mazzaferro,Azra H. Ligon,Vesna Najfeld,Scott L. Friedman,William R. Sellers,Matthew Meyerson,Josep M. Llovet +25 more
TL;DR: Overexpression of VEGFA via 6p21 gain in hepatocellular carcinomas suggested a novel, non-cell-autonomous mechanism of oncogene activation, and the prevalence of V EGFA high-level gains in multiple tumor types suggests indications for clinical trials of antiangiogenic therapies.
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Integrative molecular analysis of intrahepatic cholangiocarcinoma reveals 2 classes that have different outcomes.
Daniela Sia,Yujin Hoshida,Augusto Villanueva,Sasan Roayaie,Joana Ferrer,Barbara Tabak,Judit Peix,Manel Solé,Victoria Tovar,Clara Alsinet,Helena Cornella,Brandy Klotzle,Jian-Bing Fan,Christian Cotsoglou,Swan N. Thung,Josep Fuster,Samuel Waxman,Juan Carlos García-Valdecasas,Jordi Bruix,Myron Schwartz,Rameen Beroukhim,Rameen Beroukhim,Vincenzo Mazzaferro,Josep M. Llovet +23 more
TL;DR: An integrative genomic analysis of ICC samples from a large series of patients identified a gene expression signature that was associated with reduced survival times of patients with ICC and was enriched in the proliferation class.
Journal ArticleDOI
Combining clinical, pathology, and gene expression data to predict recurrence of hepatocellular carcinoma.
Augusto Villanueva,Augusto Villanueva,Yujin Hoshida,Yujin Hoshida,Carlo Battiston,Victoria Tovar,Victoria Tovar,Daniela Sia,Daniela Sia,Clara Alsinet,Clara Alsinet,Helena Cornella,Helena Cornella,Arthur Liberzon,Masahiro Kobayashi,Hiromitsu Kumada,Swan N. Thung,Jordi Bruix,Jordi Bruix,Philippa Newell,Craig April,Jian-Bing Fan,Sasan Roayaie,Vincenzo Mazzaferro,Myron Schwartz,Josep M. Llovet +25 more
TL;DR: A composite prognostic model for HCC recurrence is developed, based on gene expression patterns in tumor and adjacent tissues, which predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses.
Journal ArticleDOI
Predicting the mutations generated by repair of Cas9-induced double-strand breaks
Felicity Allen,Luca Crepaldi,Clara Alsinet,Alexander Strong,Vitalii Kleshchevnikov,Pietro De Angeli,Petra Páleníková,Anton Khodak,Vladimir Yu. Kiselev,Michael Kosicki,Andrew R. Bassett,Heather P. Harding,Yaron Galanty,Francisco Muñoz-Martínez,Emmanouil Metzakopian,Stephen P. Jackson,Leopold Parts,Leopold Parts +17 more
TL;DR: This work systematically study the influence of flanking DNA sequence on repair outcome by measuring the edits generated by >40,000 guide RNAs (gRNAs) in synthetic constructs and uncover sequence determinants of the mutations produced and use these to derive a predictor of Cas9 editing outcomes.