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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Zhang, Yao Lv, Wenhao Li, Hui Dong, Tiantian Wu, Hao Su, Chunhong Shu, Hong Nie, Fang |
| Abstract | Background Ultrasound-targeted microbubble destruction (UTMD) technology is a new drug and gene delivery strategy. This study investigates novel ultrasound (US) sensitive siRNA-loaded nanobubbles (siRNA-NBs) to explore the relationship between PDLIM5 mediated autophagy and drug resistance development using epidermal growth factor tyrosine kinase inhibitors (EGFR-TKIs) in the treatment of non-small cell lung cancer (NSCLC). Methods US sensitive siRNA-NBs were designed to inhibit the expression of PDLIM5 in gefitinib-resistant human NSCLC PC9GR cells in vitro. The expression of autophagy-related proteins (P62 and LC3-II/I) and autophagosomes in PC9GR cells after PDLIM5 gene silencing were explored. Results US-sensitive PDLIM5-targeted siRNA-NBs were effectively delivered into PC9GR cells, inhibiting PDLIM5 expression, increasing LC3-II/I and p62 expressions and increasing autophagosomes in PC9GR cells in vitro. Conclusions Using UTMD, US-sensitive siRNA-NBs have the potential as an ideal delivery vector to mediate highly effective RNA interference for NSCLC cells. Furthermore, PDLIM5 plays a role in the autophagy-mediated resistance in gefitinib-resistant PC9GR cells. |
| Related Links | https://cancerci.biomedcentral.com/counter/pdf/10.1186/s12935-022-02718-4.pdf |
| Ending Page | 13 |
| Page Count | 13 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14752867 |
| DOI | 10.1186/s12935-022-02718-4 |
| Journal | Cancer Cell International |
| Issue Number | 1 |
| Volume Number | 22 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2022-09-25 |
| Access Restriction | Open |
| Subject Keyword | Cancer Research Cell Biology PDLIM5 Ultrasound-targeted microbubble destruction Gene silencing Nanobubbles Non-small cell lung cancer |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cancer Research Genetics Oncology |
| Journal Impact Factor | 5.3/2023 |
| 5-Year Journal Impact Factor | 5/2023 |
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