Predicting progression-free survival after systemic therapy in advanced head and neck cancer: Bayesian regression and model development

BACKGROUND: Advanced head and neck squamous cell carcinoma (HNSCC) is associated with a poor prognosis, and biomarkers that predict response to treatment are highly desirable. The primary aim was to predict progression-free survival (PFS) with a multivariate risk prediction model. METHODS: Experimen...

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Detalles Bibliográficos
Autores principales: Barber, Paul R, Mustapha, Rami, Flores-Borja, Fabian, Alfano, Giovanna, Ng, Kenrick, Weitsman, Gregory, Dolcetti, Luigi, Suwaidan, Ali Abdulnabi, Wong, Felix, Vicencio, Jose M, Galazi, Myria, Opzoomer, James W, Arnold, James N, Thavaraj, Selvam, Kordasti, Shahram, Doyle, Jana, Greenberg, Jon, Dillon, Magnus T, Harrington, Kevin J, Forster, Martin, Coolen, Anthony CC, Ng, Tony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Cancer Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815805/
https://www.ncbi.nlm.nih.gov/pubmed/36562609
http://dx.doi.org/10.7554/eLife.73288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815805/
https://www.ncbi.nlm.nih.gov/pubmed/36562609
http://dx.doi.org/10.7554/eLife.73288

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