Background/Aims Achieving functional cure (hepatitis B surface antigen [HBsAg] loss) and discontinuing lifelong nucleos(t)ide analog (NUCs) therapy are critical clinical goals in chronic hepatitis B (CHB) management. This study evaluated the long-term clinical outcomes and cost-effectiveness of different treatment strategies aimed at functional cure in hepatitis B e antigen (HBeAg)-negative patients with CHB across Asia-Pacific income strata. Methods A Markov state-transition model was developed to project 30-yr hepatitis B virus (HBV) disease outcomes in HBeAg-negative patients. Three finite strategies, PegIFN add-on to NUCs (PegIFN+NUC), switching from NUCs to PegIFN (Switch), and bepirovirsen add-on to NUCs (Bepi+NUC), were compared with lifelong NUC therapy. Analyses were stratified by country income level (high-income country [HIC], upper-middle-income country [UMIC], and lower-middle-income country [LMIC]). Costs were estimated from the health care payer perspective in 2023 USD. Incremental cost-effectiveness ratios (ICERs), probabilistic sensitivity analyses, and cost-effectiveness acceptability curves were generated across a range of willingness-to-pay thresholds. Results Switch led to the largest reduction in hepatocellular carcinoma (31%) and HBV-related deaths (32%). In HIC, Switch was the dominant strategy (lower cost and higher quality-adjusted life years [QALYs] than standard care). In UMIC and LMIC settings, Switch remained highly cost-effective with ICERs of 1774 and 2200 per QALY gained, respectively. Probabilistic sensitivity analysis demonstrated a >89% probability of finite PegIFN strategies being cost-effective at 1× GDP per capita thresholds across all income strata. In contrast, the bepirovirsen add-on strategy was dominated in all settings due to high acquisition costs and the impact of modeled seroreversion on long-term gains. Conclusions Finite PegIFN-based combination therapies are cost-effective toward functional cure in AP region. While bepirovirsen represents a major milestone in HBV drug development, its current economic viability is limited by high costs and durability concerns. Policy efforts should prioritize optimizing established immunomodulatory combinations to accelerate global hepatitis B elimination.
Gastric cancer (GC) remains a global health burden. While international guidelines share consensus, variations exist in disputed issues. The 2025 Taiwan Consensus and Management Guidelines for Gastric Cancer had just been released. We compared the key recommendations with established international guidelines. A multidisciplinary taskforce addressed key questions and recommendations using modified Delphi method and evidence-based approaches. The comparative review aimed to elucidate similarities and differences among guidelines from Taiwan, Japan, South Korea, China, Europe, and the US. Guidelines converge on absolute endoscopic resection criteria for early GC but differ in extended indications and perioperative approaches for locally advanced disease. Heterogeneity exists in biomarker assessment protocols, cutoff thresholds, and companion diagnostics. For metastatic disease, consensus exists on anti-HER2, anti-VEGF, immunotherapy, and biomarker-driven strategies, though oligo-metastatic definitions and intraperitoneal chemotherapy indications remain controversial. Optimal GC management requires integrating global evidence with regional contexts. The comparative review addresses heterogeneity among international guidelines, which helps harmonize management strategies as therapeutic standards evolve.
Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due to limited access to dual-energy X-ray absorptiometry (DXA) in many areas. Artificial intelligence (AI) offers new opportunities to improve osteoporosis screening and management, but unvalidated tools pose risks of inconsistent care. This consensus was developed to provide regionally harmonized guidance on the safe, effective, and equitable use of AI in osteoporosis care. Purpose The aim of this work was to establish expert consensus recommendations on the role of AI in osteoporosis screening and management in the Asia-Pacific region. Key objectives were to define appropriate applications of AI (e.g., imaging-based bone assessment and fracture risk prediction) and specify minimum standards for validation and reporting, addressing region-specific implementation challenges and ensuring that AI use aligns with clinical guidelines and ethical principles. Methods This consensus was developed through multidisciplinary collaboration among experts across the Asia-Pacific region. Each participant reviewed draft statements, contributed feedback during virtual meetings, and provided insights based on clinical experience and current evidence. Consensus was reached iteratively until full agreement was achieved for all statements. The process integrated global best practices and regional adaptations, drawing from peer-reviewed studies, international AI guidelines, and local fracture registry data. The final recommendations emphasize the validation, transparency, and ethical implementation of AI within regional healthcare systems, ensuring compatibility with local regulations. Ultimately, twelve consensus statements were established to guide the responsible use of AI for osteoporosis screening and management in the Asia-Pacific region. Results The panel produced 12 consensus statements covering the role of AI as an adjunct for opportunistic osteoporosis screening rather than a diagnostic tool, requirements for imaging quality and AI model transparency, standards for validation and performance reporting, integration of AI with clinical risk stratification, demonstration of clinical utility in real-world settings, adherence to data protection laws and ethical AI principles, training of clinicians in AI use, strategies for implementation and monitoring (including post-market surveillance and feedback loops), and recognition of technical, clinical, and equity limitations of AI. All 12 statements give extensive recommendations for using AI to improve osteoporosis management while ensuring patient safety, accuracy, and equity. Conclusion This first Asia-Pacific consensus on AI in osteoporosis concludes that AI, when appropriately validated and implemented, can help bridge the osteoporosis care gap by identifying high-risk patients who would otherwise remain undiagnosed, thus facilitating earlier intervention. It emphasizes that AI should complement-not replace-standard diagnostic methods and clinical judgment. The guidance emphasizes validation, transparency, and ethical oversight to facilitate early intervention while minimizing risks associated with unvalidated or premature AI adoption.
Abstract Background The nucleocapsid (N) protein of coronavirus harbors a conserved serine/arginine (SR)–rich motif whose phosphorylation by GSK-3 is essential for viral transcription and replication. Our previous studies in Severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and the JHM strain of mouse hepatitis virus revealed a phosphorylation-to-dephosphorylation transition during the viral life cycle, with newly synthesized N highly phosphorylated and virion-associated N hypophosphorylated. Here, we characterize this transition in SARS-CoV-2 and define its functional significance. Methods Utilizing high-resolution gel analysis and the phospho-specific antibody, the phosphorylation levels of SARS-CoV-2 N proteins in the virus-infected Calu-3 cells and secreted virions from culture supernatants were compared between different viral strains. This phosphorylation-to-dephosphorylation transition was also verified in the SARS-CoV-2 virus-like particle (SC2-VLP) platform expressing N, membrane (M), envelope, and spike proteins. In this VLP system, the substantial contribution of N dephosphorylation status to particle secretion, either by blocking GSK-3 activity or phospho-related mutants, was assessed. With different viral structural protein-expressing clones and phosphatase inhibitors, we characterized the key viral factor and host phosphatase to mediate the N dephosphorylation process. Furthermore, we evaluated the antiviral efficacy of phosphatase inhibitors using the virus-infected Calu-3 culture. Results Our results showed that the phosphorylation change of SR motif in N was observed across multiple strains and recapitulated in the SC2-VLP system. GSK-3 inhibition or a phospho-deficient N mutant, but not a phospho-mimetic one, enhanced VLP release, indicating that N dephosphorylation promotes virion secretion. Mechanistically, the M protein, via its C-terminal domain, interacts with phosphorylated N to recruit protein phosphatase 2A (PP2A) to the ERGIC, facilitating N dephosphorylation. Inhibition of PP2A, either by inhibitors or siRNA, impaired the M-induced N dephosphorylation, thereby suppressing viral assembly and progeny virion production. Blockade of PP2A also indirectly reduced N phosphorylation through the Akt-mediated inhibition of GSK-3, resulting in decreased genomic RNA synthesis. Conclusions Collectively, these findings establish N dephosphorylation as a critical regulatory step in SARS-CoV-2 assembly and virion release. In ERGIC, this M protein-mediated process recruits host PP2A to dephosphorylate N, thus supporting PP2A as a promising pan-coronavirus antiviral target. Graphical Abstract
PURPOSE Although several agents targeting epidermal growth factor receptor ( EGFR) exon 20 insertions (ex20ins) have recently been approved by the US Food and Drug Administration, toxicities related to the inhibition of wild-type (WT) EGFR are common with these agents and affect overall tolerability. Zipalertinib (CLN-081, TAS6417) is an oral EGFR tyrosine kinase inhibitor (TKI) with a novel pyrrolopyrimidine scaffold leading to enhanced selectivity for EGFR ex20ins-mutant versus WT EGFR with potent inhibition of cell growth in EGFR ex20ins-positive cell lines. METHODS This phase 1/2a study of zipalertinib enrolled patients with recurrent or metastatic EGFR ex20ins-mutant non–small-cell lung cancer (NSCLC) previously treated with platinum-based chemotherapy. RESULTS Seventy-three patients were treated with zipalertinib at dose levels including 30, 45, 65, 100, and 150 mg orally twice a day. Patients were predominantly female (56%), had a median age of 64 years, and were heavily pretreated (median previous systemic therapies 2, range 1-9). Thirty six percent of patients had received previous non-ex20ins EGFR TKIs and 3/73 (4.1%) patients received previous EGFR ex20ins TKIs. The most frequently reported treatment-related adverse events of any grade included rash (80%), paronychia (32%), diarrhea (30%), and fatigue (21%). No cases of grade 3 or higher drug-related rash or diarrhea were observed at 100 mg twice a day or below. Objective responses occurred across all zipalertinib dose levels tested, with confirmed partial response (PR) observed in 28/73 (38.4%) response-evaluable patients. Confirmed PRs were seen in 16/39 (41%) response-evaluable patients at the dose of 100 mg twice a day. CONCLUSION Zipalertinib has encouraging preliminary antitumor activity in heavily pretreated patients with EGFR ex20ins-mutant NSCLC, with an acceptable safety profile, including low frequency of high-grade diarrhea and rash.
