Cargando…
Revisited analysis of a SHIVA01 trial cohort using functional mutational analyses successfully predicted treatment outcome
It still remains to be demonstrated that using molecular profiling to guide therapy improves patient outcome in oncology. Classification of somatic variants is not straightforward, rendering treatment decisions based on variants with unknown significance (VUS) hard to implement. The oncogenic activi...
Autores principales: | Kamal, Maud, Tarcic, Gabi, Dureau, Sylvain, Edelheit, Oded, Barbash, Zohar, Lecerf, Charlotte, Morel, Claire, Miron, Benjamin, Callens, Celine, Servant, Nicolas, Bieche, Ivan, Vidne, Michael, Le Tourneau, Christophe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928387/ https://www.ncbi.nlm.nih.gov/pubmed/29464843 http://dx.doi.org/10.1002/1878-0261.12180 |
Ejemplares similares
-
Exploitation of Precision Medicine Trials Data: Examples of Long Responders From the SHIVA01 Trial
por: Basse, Clémence, et al.
Publicado: (2018) -
A Novel System for Functional Determination of Variants of Uncertain Significance using Deep Convolutional Neural Networks
por: Zimmerman, Lior, et al.
Publicado: (2020) -
A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial
por: Petak, Istvan, et al.
Publicado: (2021) -
Bioinformatics for precision medicine in oncology: principles and application to the SHIVA clinical trial
por: Servant, Nicolas, et al.
Publicado: (2014) -
Fine‐needle aspiration as an alternative to core needle biopsy for tumour molecular profiling in precision oncology: prospective comparative study of next‐generation sequencing in cancer patients included in the SHIVA02 trial
por: Dupain, Célia, et al.
Publicado: (2020)