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Everest Medicines Announces First Patient Dosed with EVM16, Its First Internally Developed Personalized mRNA Cancer Vaccine

In This Article:

  • The first patient has been dosed with EVM16 at Peking University Cancer Hospital, marking a major milestone as Everest's proprietary AI-based tumor neoantigen prediction algorithm and clinically validated mRNA platform progress into human trials.

  • In preclinical studies, EVM16 demonstrated significant tumor growth inhibition in syngeneic mouse model, with repeated dosing showing favorable safety and tolerability.

  • Preclinical data also showed a synergistic anti-tumor effect when EVM16 was combined with a PD-1 antibody, supporting its potential use in combination therapies in clinical settings.

SHANGHAI, March 6, 2025 /PRNewswire/ -- Everest Medicines (HKEX 1952.HK, "Everest", or the "Company"), a biopharmaceutical company focused on the discovery, clinical development, manufacturing, and commercialization of innovative therapeutics, today announced that the first patient has been dosed with the Company's internally developed personalized mRNA cancer vaccine EVM16 at Peking University Cancer Hospital in the investigator-initiated clinical trial (IIT) EVM16CX01. EVM16CX01 is the first-in-human (FIH) trial for EVM16, conducted jointly at Peking University Cancer Hospital and Fudan University Shanghai Cancer center, to assess the safety, tolerability, immunogenicity, and preliminary efficacy of EVM16 as a monotherapy and in combination with a PD-1 antibody in patients with advanced or recurrent solid tumors.

EVM16 is a novel personalized therapeutic mRNA cancer vaccine internally developed by Everest. It contains neoantigens with high immunogenicity potential, predicted based on the unique tumor mutations of each patient using Everest's proprietary AI-based neoantigen prediction algorithm, EVER-NEO-1. The vaccine is designed to encode dozens of tumor neoantigens. The vaccine uses a lipid nanoparticle (LNP) delivery system to efficiently deliver neoantigen-encoded mRNA in vivo, activating neoantigen-specific tumor-killing T cells and inhibiting tumor growth.

In preclinical studies, vaccination with EVM16 stimulated a strong neoantigen-specific T cell response in different mouse models and showed significant tumor growth inhibition in the syngeneic B16F10 mouse melanoma model. EVER-NEO-1, the AI-based neoantigen prediction algorithm developed in-house by Everest, can identify the majority of reported tumor neoantigens, as well as several previously unreported neoantigens. Furthermore, the neoantigen prediction capability of EVER-NEO-1 was shown to be either comparable to or superior to leading industry algorithms in multiple independent validation studies.