Patient Derived Xenografts (PDX) Models as an Avatar to Assess Personalized Therapy Options in Uveal...
Patient Derived Xenografts (PDX) Models as an Avatar to Assess Personalized Therapy Options in Uveal Melanoma: A Feasibility Study
About this item
Full title
Author / Creator
Nemati, Fariba , de Koning, Leanne , Gentien, David , Assayag, Franck , Henry, Emilie , Ait Rais, Khadija , Pierron, Gaelle , Mariani, Odette , Nijnikoff, Michèle , Champenois, Gabriel , Nicolas, André , Meseure, Didier , Gardrat, Sophie , Servant, Nicolas , Hupé, Philippe , Kamal, Maud , Le Tourneau, Christophe , Piperno-Neumann, Sophie , Rodrigues, Manuel , Roman-Roman, Sergio , Decaudin, Didier , Mariani, Pascale and Cassoux, Nathalie
Publisher
MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
MDPI AG
Subjects
More information
Scope and Contents
Contents
Uveal melanoma is the most common primary intraocular malignancy in adults. Up to 50% of UM patients develop metastatic disease, usually in the liver. When metastatic, the prognosis is poor, and few treatment options exist. Here, we investigated the feasibility of establishing patient-derived xenografts (PDXs) from a patient’s tumor in order to scr...
Alternative Titles
Full title
Patient Derived Xenografts (PDX) Models as an Avatar to Assess Personalized Therapy Options in Uveal Melanoma: A Feasibility Study
Authors, Artists and Contributors
Author / Creator
de Koning, Leanne
Gentien, David
Assayag, Franck
Henry, Emilie
Ait Rais, Khadija
Pierron, Gaelle
Mariani, Odette
Nijnikoff, Michèle
Champenois, Gabriel
Nicolas, André
Meseure, Didier
Gardrat, Sophie
Servant, Nicolas
Hupé, Philippe
Kamal, Maud
Le Tourneau, Christophe
Piperno-Neumann, Sophie
Rodrigues, Manuel
Roman-Roman, Sergio
Decaudin, Didier
Mariani, Pascale
Cassoux, Nathalie
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_42ff2385ab36479d9999c122c50772bb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_42ff2385ab36479d9999c122c50772bb
Other Identifiers
ISSN
1718-7729,1198-0052
E-ISSN
1718-7729
DOI
10.3390/curroncol30100657
