Sign in
BioengineeringBiotechnology and Bioengineering
Peer-reviewed journal article

Developing Anti-EGFR/Anti-HER2 Bifunctional Antibody for Solid Tumors by Protein Engineering

Senem Sen, Aslı SemerciiD, Mélis KaracaiD, Recep Erdem AhaniD, Cemile Elif ÖzçelikiD, Elif DumaniD, Behide SaltepeiD, Ebru ArasiD, Eray Ulaş BozkurtiD, Hilal YazıcıiD, Müge SerhatlıiD, Urartu Özgür Şafak ŞekeriD

Abstract

Overexpression of epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor 2 (HER2) is common in solid tumors like breast, colorectal, and head and neck cancers, driving oncogenic signaling, therapy resistance, and poor prognosis. Monotherapies often fall short in fully suppressing tumor progression, particularly in cases with EGFR/HER2 co-amplification. Dual-targeting strategies offer enhanced efficacy by mitigating resistance and amplifying antitumor responses. Our study focused on developing and characterizing a bispecific anti-EGFR/HER2 antibody designed to simultaneously block ligand binding and receptor activation while harnessing Fc-mediated immune effector functions. Utilizing knob-into-hole and CrossMab technologies, we engineered a bispecific antibody capable of binding the extracellular domains of both EGFR and HER2. In vitro analyses confirmed its dual-binding capacity. Comparative studies revealed that this bispecific construct outperformed its monospecific counterparts in suppressing proliferation and, notably, in increasing the expression of apoptotic markers in EGFR/HER2-expressing tumor cells. Together, these findings highlight the synergistic therapeutic potential of bispecific antibodies as a promising modality for overcoming the limitations of current monotherapies. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/696462v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@192972corg.highwire.dtl.DTLVardef@102f9b2org.highwire.dtl.DTLVardef@57377corg.highwire.dtl.DTLVardef@1fbeb9d_HPS_FORMAT_FIGEXP M_FIG C_FIG

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHeitrich '25Yang '25High '26Barbieri '25Pettikiriar '26Gocho '19
66% semantic matchMolecular Biology
Mauro Heitrich, Marisa Mariel Fernández, Diana C. Aguilar-Cortes+8 more·bioRxiv·Mar 16, 2025· 2 citations