Background: Lenvatinib is widely used in treatment of unresectable hepatocellular carcinoma (uHCC), but the benefit of its combination with immunotherapy needs to be verified. This study evaluated the efficacy and safety of tislelizumab plus lenvatinib in systemic treatment-naïve patients with uHCC.
Methods: In this multicenter, single-arm, phase 2 study, systemic treatment-naïve patients with uHCC received tislelizumab 200 mg every three weeks plus lenvatinib (bodyweight ≥ 60 kg: 12 mg; < 60 kg: 8 mg; once daily). Dose-limiting toxicities (DLTs) were evaluated in safety run-in phase to determine whether to enter the expansion phase. The primary endpoint was objective response rate (ORR) assessed by independent review committee (IRC) per Response Evaluation Criteria in Solid Tumors, version 1.1 (RECIST v1.1). Based on Simon's two-stage design, > 6 responders were needed in stage 1 (n = 30) to continue the study, and ≥ 18 responders were needed by the end of stage 2 (n = 60) to demonstrate statistical superiority to a historical control of lenvatinib monotherapy.
Results: Sixty-four patients were enrolled. No DLTs were reported. The study achieved statistical superiority (p = 0.0003) with 23 responders assessed by IRC per RECIST v1.1 in the first 60 patients of the efficacy evaluable analysis set (n = 62). After a median follow-up of 15.7 months, confirmed ORR and disease control rate were 38.7% (24/62, 95% confidence interval [CI], 26.6-51.9) and 90.3% (56/62, 95% CI, 80.1-96.4), respectively. Median progression-free survival was 8.2 months (95% CI, 6.8-not evaluable). Overall survival rate at 12 months was 88.6% (95% CI, 77.7-94.4). Grade ≥ 3 treatment-related adverse events occurred in 18 (28.1%) patients.
Conclusions: Tislelizumab plus lenvatinib demonstrated promising antitumor activity with favourable tolerability as first-line therapy for patients with uHCC.
Trial Registration: ClinicalTrials.gov (NCT04401800).
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http://dx.doi.org/10.1186/s12916-024-03356-5 | DOI Listing |
Int J Neuropsychopharmacol
January 2025
Center for Drug Clinical Research, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Shanghai 201203, China.
Objective: This study aims to quantitatively evaluate the efficacy and safety of various treatment regimens for treatment-resistant depression (TRD) across oral, intravenous, and intranasal routes to inform clinical guidelines.
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Virol J
January 2025
Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, 130122, People's Republic of China.
Monkeypox virus (MPXV) is an important zoonotic pathogenic virus, which poses serious threats to public health. MPXV infection can be prevented by immunization against the variola virus. Because of the safety risks and side effects of vaccination with live vaccinia virus (VACV) strain Tian Tan (VTT), we constructed two gene-deleted VTT recombinants (TTVAC7 and TTVC5).
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
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Background: Achalasia is a rare esophageal motility disorder with an estimated annual incidence of 1-5/100.000 and a mean age at diagnosis > 50 years of age. Only a fraction of the patients has an onset during childhood (estimated incidence of 0.
View Article and Find Full Text PDFVirol J
January 2025
Medi-X Pingshan, Southern University of Science and Technology, Shenzhen, Guangdong, 518118, China.
Background: SHEN26 (ATV014) is an oral RNA-dependent RNA polymerase (RdRp) inhibitor with potential anti-SARS-CoV-2 activity. Safety, tolerability, and pharmacokinetic characteristics were verified in a Phase I study. This phase II study aimed to verify the efficacy and safety of SHEN26 in COVID-19 patients.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
School of Computer Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei, 230027, China.
Background: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. However, existing approaches face challenges regarding the insufficient interpretability of identified substructures and the isolation of chemical substructures.
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