Showing results (11-20 of 18) with videos related to
Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Cancers|April 13, 2023
The Pattern of Progression to First-Line Treatment with Dabrafenib and Trametinib in Patients with Unresectable or Metastatic, BRAF-Mutated, Cutaneous Melanoma: Results of the Observational T-WIN StudyMichele Del Vecchio, Vanna Chiarion Sileni, Pietro Quaglino, et al.Targeted Oncology|November 10, 2021
Retrospective Chart Review of Dabrafenib Plus Trametinib in Patients with Metastatic BRAF V600-Mutant Melanoma Treated in the Individual Patient Program (DESCRIBE Italy)Massimo Aglietta, Vanna Chiarion-Sileni, Paolo Fava, et al.Tumori|July 7, 2023
Outcomes in patients with BRAFV600-mutated melanoma and brain metastases at baseline treated with dabrafenib plus trametinibMassimo Aglietta, Vanna Chiarion-Sileni, Paolo Fava, et al.Frontiers in Oncology|September 1, 2022
Comparison Between First Line Target Therapy and Immunotherapy in Different Prognostic Categories of BRAF Mutant Metastatic Melanoma Patients: An Italian Melanoma Intergroup StudyRiccardo Marconcini, Paolo Fava, Amedeo Nuzzo, et al.European Journal of Cancer (Oxford, England : 1990)|May 30, 2020
Adjuvant therapy with pegylated interferon-alfa2b vs observation in stage II B/C patients with ulcerated primary: Results of the European Organisation for Research and Treatment of Cancer 18081 randomised trialAlexander M M Eggermont, Piotr Rutkowski, Caroline Dutriaux, et al.Journal for Immunotherapy of Cancer|November 16, 2019
The density and spatial tissue distribution of CD8+ and CD163+ immune cells predict response and outcome in melanoma patients receiving MAPK inhibitorsDaniela Massi, Eliana Rulli, Mara Cossa, et al.Journal of Translational Medicine|December 17, 2025
High BRAF variant allele frequency predicts poor outcomes in metastatic melanoma patients treated with BRAF/MEK inhibitorsMichele Guida, Benedetta Apollonio, Luca Romano, et al.Bioengineering (Basel, Switzerland)|November 27, 2025
Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast CancerLong Song, Zobaida Edib, Uwe Aickelin, et al.Pageof 2