Dual Targeting of EGFR with PLK1 Exerts Therapeutic Synergism in Taxane-Resistant Lung Adenocarcinoma by Suppressing ABC Transporters.
Sol-Bi ShinDae-Hoon KimDa-Eun KimMark Borris D AldonzaYoosik KimHyungshin YimPublished in: Cancers (2021)
To overcome the limitations of chemoresistance, combination therapies using druggable targets have been investigated. Our previous studies led us to hypothesize that the downregulation of PLK1 expression or activity can be one strategy to overcome the hurdles of taxane resistance by the downregulation of ABC transporters. To explore this, various versions of PLK1 including a constitutively active version, kinase-dead form, and polo-box domain mutant were expressed in paclitaxel-resistant lung adenocarcinoma (LUADTXR). Targeting PLK1 using shRNA or non-functional mutants downregulated ABCB1, ABCC9, and ABCG2 in LUADTXR cells, which was similar to the downregulation effects from treatment with PLK1 inhibitors. The high expression of EGFR in LUAD led us to administer gefitinib, showing a markedly reduced EGFR level in LUADTXR cells. When gefitinib and PLK1 inhibitors were combined, LUADTXR cells tended to undergo apoptosis more effectively than parental cells, showing a synergistic effect on the downregulation of ABC transporters through c-Myc and AP-1. Clinical data provide evidence for the relevance between survival rates and expressions of PLK1 and EGFR in LUAD patients. Based on these results, we suggest that a combination of gefitinib and PLK1 inhibitors exerts strong synergism in LUADTXR, which helps to overcome the limitations associated with taxanes.
Keyphrases
- small cell lung cancer
- cell cycle arrest
- induced apoptosis
- epidermal growth factor receptor
- signaling pathway
- tyrosine kinase
- endoplasmic reticulum stress
- cell death
- cell proliferation
- poor prognosis
- end stage renal disease
- pi k akt
- binding protein
- peritoneal dialysis
- electronic health record
- cancer therapy
- high resolution
- long non coding rna
- deep learning
- drug delivery
- big data
- artificial intelligence
- psychometric properties
- cancer stem cells