Effectiveness of durvalumab versus chemotherapy in metastatic urothelial cancer: an observational, indirect comparison

Clinico-Genomic Characterization of Patients with Metastatic Urothelial Carcinoma in Real-World Practice Identifies a Novel Bladder Immune Performance Index (BIPI)

PURPOSE

This retrospective analysis of the largest available clinico-genomic database used de-identified patient-level electronic health record-derived real-world data (RWD) combined with FoundationOne® comprehensive genomic profiling (CGP) to characterize patients with metastatic urothelial carcinoma (mUC) treated in the real-world setting, detect potential biomarkers, and develop a bladder immune performance index (BIPI).

EXPERIMENTAL DESIGN

Patients with mUC who started front-line single-agent immune checkpoint inhibitors (ICIs) and an unmatched group treated with front-line platinum-based chemotherapy between January 1, 2011 and September 30, 2019 were selected. Clinical and genomic data were correlated with overall survival (OS). A novel BIPI predicting outcome with ICIs was developed using machine learning methods and validated using data from a phase II trial (NCT02951767).

RESULTS

In ICI-treated patients (n=118), high tumor mutational burden (≥10 mutations/megabase) was associated with improved OS (HR 0.58 [95% CI, 0.35-0.95]; P=0.03). In chemotherapy-treated patients (n=268), those with high APOBEC mutational signature had worse OS (HR 1.43 [95% CI, 1.06-1.94]; P=0.02). Neither FGFR3 mutations nor DNA damage-repair pathway alterations were associated with OS. A novel BIPI combining clinical and genomic variables (non-metastatic at initial diagnosis, normal or above normal albumin level at baseline, prior surgery for organ-confined disease, high TMB) identified ICI-treated patients with longest OS and was validated in an independent dataset.

CONCLUSIONS

Contemporary RWD including FoundationOne® CGP can be used to characterize outcomes in real-world patients according to biomarkers beyond PD-L1. A validated, novel clinico-genomic BIPI demonstrated satisfactory prognostic performance for OS in patients with mUC receiving front-line ICI therapy.

Review of Ribosome Interactions with SARS-CoV-2 and COVID-19 mRNA Vaccine

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the causing pathogen of the unprecedented global Coronavirus Disease 19 (COVID-19) pandemic. Upon infection, the virus manipulates host cellular machinery and ribosomes to synthesize its own proteins for successful replication and to facilitate further infection. SARS-CoV-2 executes a multi-faceted hijacking of the host mRNA translation and cellular protein synthesis. Viral nonstructural proteins (NSPs) interact with a range of different ribosomal states and interfere with mRNA translation. Concurrent mutations on NSPs and spike proteins contribute to the epidemiological success of variants of concern (VOCs). The interactions between ribosomes and SARS-CoV-2 represent attractive targets for the development of antiviral therapeutics and vaccines. Recently approved COVID-19 mRNA vaccines also utilize the cellular machinery, to produce antigens and trigger immune responses. The design features of the mRNA vaccines are critical to efficient mRNA translation in ribosomes, and are directly related to the vaccine's efficacy, safety, and immunogenicity. This review describes recent knowledge of how the SARS-CoV-2 virus' genomic characteristics interfere with ribosomal function and mRNA translation. In addition, we discuss the current learning of the design features of mRNA vaccines and their impacts on translational activity in ribosomes. The understanding of ribosomal interactions with the virus and mRNA vaccines offers the foundation for antiviral therapeutic discovery and continuous mRNA vaccine optimization to lower the dose, to increase durability and/or to reduce adverse effects.