ABSTRACT
Following the CodeBreak 100 study, since 2021 sotorasib has been available in France, with authorization for early access in treatment of non-small cell lung cancer with a KRAS G12C mutation. Our retrospective observational study was designed to determine the efficacy and safety of sotorasib under real-life conditions in patients treated at the Tours CHRU. Our study of 15 patients showed sotorasib to be effective in 47% of cases, with overall survival of 4 months and median progression-free survival of 5.5 months for responders. Tumor control was achieved in 7/8 (87%) of patients with PS of 0 or 1 and in 1/7 (14%) of patients with a PS of 2 or greater. Grade 3 acute hepatitis occurred in 3/15 patients (20%). While sotorasib is an interesting therapeutic option, with efficacy that seems better in patients in good general condition, it entails a possible risk of drug-induced hepatitis, which remains to be specified in dedicated studies.
Subject(s)
Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Humans , Carcinoma, Non-Small-Cell Lung/drug therapy , Carcinoma, Non-Small-Cell Lung/genetics , Proto-Oncogene Proteins p21(ras)/genetics , Lung Neoplasms/drug therapy , Lung Neoplasms/genetics , Hospitals, University , Mutation , Observational Studies as TopicABSTRACT
The biological mechanisms involved in SARS-CoV-2 infection are only partially understood. Thus we explored the plasma metabolome of patients infected with SARS-CoV-2 to search for diagnostic and/or prognostic biomarkers and to improve the knowledge of metabolic disturbance in this infection. We analyzed the plasma metabolome of 55 patients infected with SARS-CoV-2 and 45 controls by LC-HRMS at the time of viral diagnosis (D0). We first evaluated the ability to predict the diagnosis from the metabotype at D0 in an independent population. Next, we assessed the feasibility of predicting the disease evolution at the 7th and 15th day. Plasma metabolome allowed us to generate a discriminant multivariate model to predict the diagnosis of SARS-CoV-2 in an independent population (accuracy > 74%, sensitivity, specificity > 75%). We identified the role of the cytosine and tryptophan-nicotinamide pathways in this discrimination. However, metabolomic exploration modestly explained the disease evolution. Here, we present the first metabolomic study in SARS-CoV-2 patients which showed a high reliable prediction of early diagnosis. We have highlighted the role of the tryptophan-nicotinamide pathway clearly linked to inflammatory signals and microbiota, and the involvement of cytosine, previously described as a coordinator of cell metabolism in SARS-CoV-2. These findings could open new therapeutic perspectives as indirect targets.
