Efficacy of Dabrafenib Plus Trametinib Combination in Patients with BRAF V600E-Mutant NSCLC in Real-World Setting: GFPC 01-2019

Dabrafenib plus trametinib combination is approved in Europe for BRAF V600E-mutant metastatic non-small-cell lung cancer (NSCLC). The objective of this study was to assess efficacy and safety of this combination in a real-world setting. This retrospective multicentric study included 40 patients with advanced NSCLC harboring BRAF V600E mutation and receiving dabrafenib plus trametinib. The median progression-free survival (PFS) and overall survival (OS) were 17.5 (95% CI 7.1–23.0) months and 25.5 (95% CI 16.6–not reached) months in the entire cohort, respectively. For the 9 patients with first-line treatment, median PFS was 16.8 (95% CI 6.1–23.2) months and median OS was 21.8 (95% CI 1.0–not reached) months; for the 31 patients with second-line or more treatments, median PFS and OS were 16.8 (95% CI 6.1–23.2) months and 25.5 (95% CI 16.6–not reached) months, respectively. Adverse events led to permanent discontinuation in 7 (18%) patients, treatment interruption in 8 (20%) and dose reduction in 12 (30%). In conclusion, these results suggest that efficacy and safety of dabrafenib plus trametinib combination in patients with BRAF V600E metastatic NSCLC are comparable in a real-world setting and in clinical trials for both previously untreated and treated patients

Efficacy of Dabrafenib Plus Trametinib Combination in Patients with BRAF V600E-Mutant NSCLC in Real-World Setting: GFPC 01-2019

Dabrafenib plus trametinib combination is approved in Europe for BRAF V600E-mutant metastatic non-small-cell lung cancer (NSCLC). The objective of this study was to assess efficacy and safety of this combination in a real-world setting. This retrospective multicentric study included 40 patients with advanced NSCLC harboring BRAF V600E mutation and receiving dabrafenib plus trametinib. The median progression-free survival (PFS) and overall survival (OS) were 17.5 (95% CI 7.1–23.0) months and 25.5 (95% CI 16.6–not reached) months in the entire cohort, respectively. For the 9 patients with first-line treatment, median PFS was 16.8 (95% CI 6.1–23.2) months and median OS was 21.8 (95% CI 1.0–not reached) months; for the 31 patients with second-line or more treatments, median PFS and OS were 16.8 (95% CI 6.1–23.2) months and 25.5 (95% CI 16.6–not reached) months, respectively. Adverse events led to permanent discontinuation in 7 (18%) patients, treatment interruption in 8 (20%) and dose reduction in 12 (30%). In conclusion, these results suggest that efficacy and safety of dabrafenib plus trametinib combination in patients with BRAF V600E metastatic NSCLC are comparable in a real-world setting and in clinical trials for both previously untreated and treated patients

Efficacy and safety of boceprevir-based triple therapy in HCV cirrhotic patients awaiting liver transplantation (ANRS HC29 BOCEPRETRANSPLANT)

International audienceBACKGROUND AND AIMS:In this French multicentre, open-label study, we analyzed the efficacy, safety and patient-reported outcomes of a boceprevir-based triple therapy in HCV genotype 1 cirrhotic patients awaiting liver transplantation (LT).METHODS:Patients received PEG-IFN/ribavirin (RBV) for 48 weeks (W) and boceprevir from W4 to W48 or until LT.RESULTS:Fifty-one patients (80% males, median age: 56 years) were included. Fifty-seven percent had hepatocellular carcinoma and 43% end-stage liver disease. At enrolment, the median MELD score was 9 (range: 6-18); the Child-Pugh score was A in 65%, B in 35% and C in 2%. Therapy was discontinued because of severe adverse events (SAEs) in 39% of cases and virological inefficacy in 24%. 16% of patients had undetectable HCV RNA 24 weeks after the end of treatment (SVR24). LT was performed in 18 patients (35%). HCV RNA was undetectable in 16.6% at LT. Seven patients (14%) died and three deaths were attributed to treatment. SAEs (n=129) were observed in 84% of patients. Twenty-four percent of patients developed severe infections. Albumin<35g/L was independently associated with severe infection. Compared with baseline values, a significant decrease (P=0.02) of the physical dimension of health-related quality of life was observed between W4 and W24. The mean (95% CI) number of self-reported symptoms doubled during treatment (from 6.3 [4.8-7.7] to 11.8 [9.3-14.3]; P<0.001).CONCLUSIONS:The safety of the PEG-IFN/RBV/boceprevir combination is poor in patients awaiting LT, with a high risk of severe infection. Moreover, the limited efficacy confirms the indication for IFN-free combinations in these patients

A Definitive Prognostication System for Patients With Thoracic Malignancies Diagnosed With Coronavirus Disease 2019: an update from the TERAVOLT registry

BACKGROUND: Patients with thoracic malignancies are at increased risk for mortality from Coronavirus disease 2019 (COVID-19) and large number of intertwined prognostic variables have been identified so far. METHODS: Capitalizing data from the TERAVOLT registry, a global study created with the aim of describing the impact of COVID-19 in patients with thoracic malignancies, we used a clustering approach, a fast-backward step-down selection procedure and a tree-based model to screen and optimize a broad panel of demographics, clinical COVID-19 and cancer characteristics. RESULTS: As of April 15, 2021, 1491 consecutive evaluable patients from 18 countries were included in the analysis. With a mean observation period of 42 days, 361 events were reported with an all-cause case fatality rate of 24.2%. The clustering procedure screened approximately 73 covariates in 13 clusters. A further multivariable logistic regression for the association between clusters and death was performed, resulting in five clusters significantly associated with the outcome. The fast-backward step-down selection then identified seven major determinants of death ECOG-PS (OR 2.47 1.87-3.26), neutrophil count (OR 2.46 1.76-3.44), serum procalcitonin (OR 2.37 1.64-3.43), development of pneumonia (OR 1.95 1.48-2.58), c-reactive protein (CRP) (OR 1.90 1.43-2.51), tumor stage at COVID-19 diagnosis (OR 1.97 1.46-2.66) and age (OR 1.71 1.29-2.26). The ROC analysis for death of the selected model confirmed its diagnostic ability (AUC 0.78; 95%CI: 0.75 - 0.81). The nomogram was able to classify the COVID-19 mortality in an interval ranging from 8% to 90% and the tree-based model recognized ECOG-PS, neutrophil count and CRP as the major determinants of prognosis. CONCLUSION: From 73 variables analyzed, seven major determinants of death have been identified. Poor ECOG-PS demonstrated the strongest association with poor outcome from COVID-19. With our analysis we provide clinicians with a definitive prognostication system to help determine the risk of mortality for patients with thoracic malignancies and COVID-19

A definitive prognostication system for patients with thoracic malignancies diagnosed with COVID-19: an update from the TERAVOLT registry

Background: Patients with thoracic malignancies are at increased risk for mortality from Coronavirus disease 2019 (COVID-19) and large number of intertwined prognostic variables have been identified so far. Methods: Capitalizing data from the TERAVOLT registry, a global study created with the aim of describing the impact of COVID-19 in patients with thoracic malignancies, we used a clustering approach, a fast-backward step-down selection procedure and a tree-based model to screen and optimize a broad panel of demographics, clinical COVID-19 and cancer characteristics. Results: As of April 15, 2021, 1491 consecutive evaluable patients from 18 countries were included in the analysis. With a mean observation period of 42 days, 361 events were reported with an all-cause case fatality rate of 24.2%. The clustering procedure screened approximately 73 covariates in 13 clusters. A further multivariable logistic regression for the association between clusters and death was performed, resulting in five clusters significantly associated with the outcome. The fast-backward step-down selection then identified seven major determinants of death ECOG-PS (OR 2.47 1.87-3.26), neutrophil count (OR 2.46 1.76-3.44), serum procalcitonin (OR 2.37 1.64-3.43), development of pneumonia (OR 1.95 1.48-2.58), c-reactive protein (CRP) (OR 1.90 1.43-2.51), tumor stage at COVID-19 diagnosis (OR 1.97 1.46-2.66) and age (OR 1.71 1.29-2.26). The ROC analysis for death of the selected model confirmed its diagnostic ability (AUC 0.78; 95%CI: 0.75 - 0.81). The nomogram was able to classify the COVID-19 mortality in an interval ranging from 8% to 90% and the tree-based model recognized ECOG-PS, neutrophil count and CRP as the major determinants of prognosis. Conclusion: From 73 variables analyzed, seven major determinants of death have been identified. Poor ECOG-PS demonstrated the strongest association with poor outcome from COVID-19. With our analysis we provide clinicians with a definitive prognostication system to help determine the risk of mortality for patients with thoracic malignancies and COVID-19