Therapeutic targeting of epidermal growth factor receptor (EGFR) in solid tumors faces significant limitations due to on-target/off-tumor toxicities, underscoring the urgent need for tumor-selective anti-EGFR therapies. Comprehensive bioinformatics and histopathological analyses identify marked upregulation of B7-H3 across EGFR-positive malignancies, contrasting with its minimal expression in healthy tissues. Leveraging an unbiased functional screen of bispecific antibodies (bsAbs) combining diverse B7-H3 and EGFR binders, we develop IBI334, a EGFR/B7-H3 bsAb exhibiting exceptional tumor selectivity. In preclinical models, IBI334 outperforms conventional EGFR antibodies by demonstrating superior EGFR occupancy, enhanced ligand-blocking efficacy, accelerated receptor degradation, and potent suppression of downstream EGFR signaling. Mechanistic studies demonstrate B7-H3-mediated cis-inhibition. The human B7-H3 extracellular domain (ECD) in complex with anti-B7-H3 Fab is resolved by cryo-EM, revealing critical residues for the antibody-B7-H3 interaction. IBI334 demonstrates robust antitumor activity in vitro and in vivo across EGFR-driven tumor models and synergized effectively with KRAS inhibitors. Toxicological evaluations in non-human primates reveals a favorable safety profile, with no EGFR-related adverse effects observed at doses up to 120 mg/kg over 4 weeks. Supported by these preclinical findings, IBI334 has advanced to a phase 1 clinical trial (NCT05774873) for advanced/metastatic solid tumors. EGFR-targeted therapy is often used in patients with EGFR-driven cancer but is limited by on-target/off-tumor toxicities. Here, the authors develop a bispecific antibody targeting both EGFR and B7-H3 and demonstrate improved EGFR targeting and tumor selectivity in preclinical models of multiple solid tumors.
Building similarity graph...
Analyzing shared references across papers
Loading...
Guan et al. (Tue,) studied this question.
www.synapsesocial.com/papers/699fe32295ddcd3a253e6c69 — DOI: https://doi.org/10.1038/s41467-026-69703-7
Jian Guan
Tiongsun Chia
Bin Li
Nature Communications
Building similarity graph...
Analyzing shared references across papers
Loading...