Cell growth inhibition and apoptosis in breast cancer cells induced by anti-FZD7 scFvs: involvement of bioinformatics-based design of novel epitopes

Background FZD7 has a critical role as a surface receptor of Wnt/beta-catenin signaling in cancer cells. Suppressing Wnt signaling through blocking FZD7 is shown to decrease cell viability, metastasis and invasion. Bioinformatic methods have been a powerful tool in epitope designing studies. Small size, high affinity and human origin of scFv antibodies have provided unique advantages for these recombinant antibodies. Methods Two epitopes from extracellular domain of FZD7 were designed using bioinformatic methods. Specific anti-FZD7 scFvs were selected against these epitopes through panning process. The specificity of the scFvs was assessed by phage ELISA and the ability to bind to FZD7 expressing cell line (MDA-MB-231) was determined by flowcytometry. Antiproliferative and apoptotic effects of the scFvs were evaluated by MTT and Annexin V/PI assays. The effects of selected scFvs on expression level of Surivin, c-Myc and Dvl genes were also evaluated by real-time PCR. Results Results demonstrated selection of two specific scFvs (scFv-I and scFv-II) with frequencies of 35 and 20%. Both antibodies bound to the corresponding peptides and cell surface receptors as shown by phage ELISA and flowcytometry, respectively. The scFvs inhibited cell growth of MDA-MB-231 cells significantly as compared to untreated cells. Growth inhibition of 58.6 and 53.1% were detected for scFv-I and scFv-II, respectively. No significant growth inhibition was detected for SKBR-3 negative control cells. The scFvs induced apoptotic effects in the MDA-MB-231 treated cells after 48 h, which were 81.6 and 74.9% for scFv-I and scFv-II, respectively. Downregulation of Surivin, c-Myc and Dvl genes were also shown after 48h treatment of cells with either of scFvs (59.3-93.8%). ScFv-I showed significant higher antiproliferative and apoptotic effects than scFv-II. Conclusions Bioinformatic methods could effectively select potential epitopes of FZD7 protein and suggest that epitope designing by bioinformatic methods could contribute to the selection of key antigens for cancer immunotherapy. The selected scFvs, especially scFv-I, with high antiproliferative and apoptotic effects could be considered as effective agents for immunotherapy of cancers expressing FZD7 receptor including triple negative breast cancer.