COVID-19 Rebound After VV116 vs Nirmatrelvir-Ritonavir Treatment: A Randomized Clinical Trial.

Importance: With the widespread use of anti-SARS-CoV-2 drugs, accumulating data have revealed potential viral load rebound after treatment. Objective: To compare COVID-19 rebound after a standard 5-day course of antiviral treatment with VV116 vs nirmatrelvir-ritonavir. Design, Setting, and Participants: This is a single-center, investigator-blinded, randomized clinical trial conducted in Shanghai, China. Adult patients with mild-to-moderate COVID-19 and within 5 days of SARS-CoV-2 infection were enrolled between December 20, 2022, and January 19, 2023, and randomly allocated to receive either VV116 or nirmatrelvir-ritonavir. Interventions: Participants in the VV116 treatment group received oral 600-mg VV116 tablets every 12 hours on day 1 and 300 mg every 12 hours on days 2 through 5. Participants in the nirmatrelvir-ritonavir treatment group received oral nirmatrelvir-ritonavir tablets with 300 mg of nirmatrelvir plus 100 mg of ritonavir every 12 hours for 5 days. Participants were followed up every other day until day 28 and every week until day 60. Main Outcomes and Measures: The primary outcome was viral load rebound (VLR), defined as a half-log increase in viral RNA copies per milliliter compared with treatment completion. Secondary outcomes included a reduction in the cycle threshold value of 1.5 or more, time until VLR, and symptom rebound, defined as an increase of more than 2 points in symptom score compared with treatment completion. The primary outcome and secondary outcomes were analyzed using the full analysis set. Sensitivity analyses were conducted using the per protocol set. Adverse events were analyzed using the safety analysis set. Results: The full analysis set included 345 participants (mean [SD] age, 53.2 [16.8] years; 175 [50.7%] were men) who received VV116 (n = 165) or nirmatrelvir-ritonavir (n = 180). Viral load rebound occurred in 33 patients (20.0%) in the VV116 group and 39 patients (21.7%) in the nirmatrelvir-ritonavir group (P = .70). Symptom rebound occurred in 41 of 160 patients (25.6%) in the VV116 group and 40 of 163 patients (24.5%) in the nirmatrelvir-ritonavir group (P = .82). Viral whole-genome sequencing of 24 rebound cases revealed the same lineage at baseline and at viral load rebound in each case. Conclusions and Relevance: In this randomized clinical trial of patients with mild-to-moderate COVID-19, viral load rebound and symptom rebound were both common after a standard 5-day course of treatment with either VV116 or nirmatrelvir-ritonavir. Prolongation of treatment duration might be investigated to reduce COVID-19 rebound. Trial Registration: Chinese Clinical Trial Registry Identifier: ChiCTR2200066811.

Aging and comprehensive molecular profiling in acute myeloid leukemia.

Acute myeloid leukemia (AML) is an aging-related and heterogeneous hematopoietic malignancy. In this study, a total of 1,474 newly diagnosed AML patients with RNA sequencing data were enrolled, and targeted or whole exome sequencing data were obtained in 94% cases. The correlation of aging-related factors including age and clonal hematopoiesis (CH), gender, and genomic/transcriptomic profiles (gene fusions, genetic mutations, and gene expression networks or pathways) was systematically analyzed. Overall, AML patients aged 60 y and older showed an apparently dismal prognosis. Alongside age, the frequency of gene fusions defined in the World Health Organization classification decreased, while the positive rate of gene mutations, especially CH-related ones, increased. Additionally, the number of genetic mutations was higher in gene fusion-negative (GF-) patients than those with GF. Based on the status of CH- and myelodysplastic syndromes (MDS)-related mutations, three mutant subgroups were identified among the GF- AML cohort, namely, CH-AML, CH-MDS-AML, and other GF- AML. Notably, CH-MDS-AML demonstrated a predominance of elderly and male cases, cytopenia, and significantly adverse clinical outcomes. Besides, gene expression networks including HOXA/B, platelet factors, and inflammatory responses were most striking features associated with aging and poor prognosis in AML. Our work has thus unraveled the intricate regulatory circuitry of interactions among different age, gender, and molecular groups of AML.

Prospective observational study on biomarkers of response in pancreatic ductal adenocarcinoma.

Adjuvant chemotherapy benefits patients with resected pancreatic ductal adenocarcinoma (PDAC), but the compromised physical state of post-operative patients can hinder compliance. Biomarkers that identify candidates for prompt adjuvant therapy are needed. In this prospective observational study, 1,171 patients with PDAC who underwent pancreatectomy were enrolled and extensively followed-up. Proteomic profiling of 191 patient samples unveiled clinically relevant functional protein modules. A proteomics-level prognostic risk model was established for PDAC, with its utility further validated using a publicly available external cohort. More importantly, through an interaction effect regression analysis leveraging both clinical and proteomic datasets, we discovered two biomarkers (NDUFB8 and CEMIP2), indicative of the overall sensitivity of patients with PDAC to adjuvant chemotherapy. The biomarkers were validated through immunohistochemistry on an internal cohort of 386 patients. Rigorous validation extended to two external multicentic cohorts-a French multicentric cohort (230 patients) and a cohort from two grade-A tertiary hospitals in China (466 patients)-enhancing the robustness and generalizability of our findings. Moreover, experimental validation through functional assays was conducted on PDAC cell lines and patient-derived organoids. In summary, our cohort-scale integration of clinical and proteomic data demonstrates the potential of proteomics-guided prognosis and biomarker-aided adjuvant chemotherapy for PDAC.