METHODS: The full genomic sequences of all known different RV-A and -B prototypes were downloaded from the National Centre for Biotechnology Information (NCBI) and divided into minor low-density lipoprotein receptor (LDLR) and major intercellular adhesion molecule groups (ICAM). The sequences were edited using Biological Sequence Alignment Editor, v 7.2.0 (BioEdit software) to study each capsid protein (VP1, VP2, VP3, and VP4) and analyzed using the EMBL-EBI ClustalW server and the more current Clustal Omega tool for the calculation of the identities and similarities.
RESULTS: We analyzed and predicted immunogenic motifs from capsid proteins that are conserved across distinct RV serotypes using a bioinformatics technique. The amino acid sequences of VP3 were found to be the most varied, while VP4 was the most conserved protein among all RV-A and RV-B strains. Among all strains studied, RV-74 demonstrated the highest degree of homology to other strains and could be a potential genetic source for recombinant protein production. Nine highly conserved regions with a minimum length of 9-mers were identified, which could serve as potential immune targets against rhinoviruses.
CONCLUSION: Therefore, bioinformatics analysis conducted in the current study has paved the way for the selection of immunogenic targets. Bioinformatically, the ideal strain's capsid protein is suggested to contain the most common RVs immunogenic sites.
OBJECTIVE: To estimate the global burden of bone cancer from 1990 to 2023 and forecast future trends to 2050.
DESIGN, SETTING, AND PARTICIPANTS: This systematic analysis estimated bone cancer incidence, mortality, and disability-adjusted life-years (DALYs) in 204 countries and territories grouped by GBD super-regions and World Bank income groups from 1990 to 2023, with forecasts through 2050. Individuals of all ages with bone cancers included in the GBD 2023 study were included in analyses. Data were analyzed from June 2023 to July 2025.
MAIN OUTCOMES AND MEASURES: The GBD 2023 study used standardized estimation methods to describe bone cancer incidence, mortality, and DALYs in 2023, as well as trends over the past 3 decades and forecasts through 2050. All estimates are presented with 95% uncertainty intervals (UIs), and age-standardized rates (ASRs) were calculated using GBD-specific age weights.
RESULTS: In 2023, there were 111 000 (95% UI, 81 300-164 000) malignant bone cancer cases, 76 600 (95% UI, 60 700-96 300) deaths, and 3.02 million (95% UI, 2.29 million-3.96 million) DALYs globally. A bimodal age distribution was noted in both incidence (peaking at ages 10 to 14 years and 65 to 69 years) and mortality (peaking at ages 15 to 19 years and 65 to 69 years). The highest ASRs for incidence were in Southeast Asia, East Asia, and Oceania (1.6 per 100 000; 95% UI, 1.1-2.4), while Sub-Saharan Africa had the highest ASRs for DALYs (51.0 per 100 000; 95% UI, 27.7-79.7). By World Bank income group, upper-middle-income countries had the highest ASRs for incidence, whereas low-income countries exhibited the highest ASRs for both mortality and DALYs. Globally, incident cases, deaths, and DALYs increased from 1990 to 2023, while global mortality and DALY ASRs were relatively stable; high-income countries experienced a decline in mortality and DALY ASRs. Forecasts suggest a potential increase in global cases and deaths by 2050.
CONCLUSIONS AND RELEVANCE: In this systematic analysis, the burden of bone cancer varied by age, geography, and time, underscoring global disparities. These findings provide valuable insights to inform health system planning and resource allocation tailored to different settings.