Effective inhibition of cancer cells by recombinant adenovirus expressing EGFR-targeting artificial microRNA and reversed-caspase-3.
Maoxiao YanJia ChenHua JiangYuqiong XieChunchun LiLihong ChenBeibei YangJiang CaoPublished in: PloS one (2020)
The EGFR-targeting cancer therapies are commonly facing drug resistance, mostly due to mutations. Gene therapy with artificial microRNA targeting EGFR conserved sequence may avoid such problem. In this study, we constructed a recombinant adenovirus expressing EGFR-targeting artificial microRNA and active revCASP3 (Ad-EC), under the control of tumor-specific SLPI promoter, and evaluated its inhibitory effect on HEP-2 cancer cells both in vitro and in vivo. MTT assay showed that cell growth inhibition rate at 72h was 44.0% in Ad-EC group at MOI 50, while the rate was 7.7% in the control virus Ad-GFP group and 3.6% in Cetuximab (500 μg/ml) group respectively. Flow cytometry analysis revealed the late apoptotic cells rate was 36.1% in Ad-EC group, significantly higher than 6.5% of Ad-GFP group (p < 0.001). When Ad-EC (MOI 50) was combined with CDDP (0.25 μg/ml), late apoptotic cells rate increased to 61.2%, significantly higher than each monotherapy group (P < 0.001). The real-time xCELLigence system recorded an effective cell growth inhibition in Ad-EC and CDDP groups, and more enhanced effect in Ad-EC plus CDDP group. Western blot revealed that Ad-EC could inhibit the activation of AKT pathway and ERK1/2 pathway, while Cetuximab had the AKT pathway over-activated. In vivo experiments with HEP-2 xenograft in nude mice confirmed the tumor inhibition in Ad-EC, CDDP and Ad-EC plus CDDP groups compared with PBS group (P < 0.01). Collectively, these data support the effective inhibition of cancer cells by this novel gene therapy strategy.
Keyphrases
- gene therapy
- small cell lung cancer
- induced apoptosis
- epidermal growth factor receptor
- signaling pathway
- cell proliferation
- tyrosine kinase
- type diabetes
- gene expression
- transcription factor
- single cell
- metabolic syndrome
- south africa
- adipose tissue
- oxidative stress
- randomized controlled trial
- big data
- endoplasmic reticulum stress
- skeletal muscle
- artificial intelligence
- data analysis