a potential peptide therapeutic derived from the juxtamembrane domain of the epidermal growth factor receptor潜在的肽治疗来自近膜域的表皮生长因子受体.pdfVIP
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a potential peptide therapeutic derived from the juxtamembrane domain of the epidermal growth factor receptor潜在的肽治疗来自近膜域的表皮生长因子受体
A Potential Peptide Therapeutic Derived from the
Juxtamembrane Domain of the Epidermal Growth Factor
Receptor
Aislyn D. W. Boran, Joseph Seco, Vinodh Jayaraman, Gomathi Jayaraman, Shan Zhao, Sushmitha Reddy,
Yibang Chen, Ravi Iyengar*
Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, United States of America
Abstract
The epidermal growth factor receptor (EGFR) is involved in many cancers and EGFR has been heavily pursued as a drug
target. Drugs targeting EGFR have shown promising clinical results for several cancer types. However, resistance to EGFR
inhibitors often occurs, such as with KRAS mutant cancers, therefore new methods of targeting EGFR are needed. The
juxtamembrane (JXM) domain of EGFR is critical for receptor activation and targeting this region could potentially be a new
method of inhibiting EGFR. We hypothesized that the structural role of the JXM region could be mimicked by peptides
encoding a JXM amino acid sequence, which could interfere with EGFR signaling and consequently could have anti-cancer
activity. A peptide encoding EGFR 645–662 conjugated to the Tat sequence (TE-64562) displayed anti-cancer activity in
multiple human cancer cell types with diminished activity in non-EGFR expressing cells and non-cancerous cells. In nude
mice, TE-64562 delayed MDA-MB-231 tumor growth and prolonged survival, without inducing toxicity. TE-64562 induced
non-apoptotic cell death after several hours and caspase-3-mediated apoptotic cell death with longer treatment.
Mechanistically, TE-64562 bound to EGFR, inhibited its dimerization and caused its down-regulation. TE-64562 reduced
phosphorylated and total EGFR levels but did not inhibit kinase activity and instead prolonged it. Our analysis of patient
data from The Cancer Genome Atl
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