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Inhibition of MEIS3 Generates Cetuximab Resistance through c‐Met and Akt

Authors: Ping Cai; Yangyang Xie; Mingjun Dong; Qiaoqiao Zhu;

Inhibition of MEIS3 Generates Cetuximab Resistance through c‐Met and Akt

Abstract

Introduction. Although cetuximab has been widely used in the treatment of colon cancer, a large number of patients eventually develop drug resistance. Therefore, it is essential to clarify the mechanism of drug resistance. Methods. In this study, we combined in silico analysis and a single guide RNA (sgRNA) library to locate cetuximab‐sensitive genes. Cell proliferation, apoptosis, and cell cycle were assessed to validate the change in cetuximab sensitivity. Finally, western blotting was performed to detect changes in epidermal growth factor (EGFR) upstream and downstream genes. Results. Using in silico analysis and the sgRNA library, MEIS3 was confirmed as the cetuximab‐sensitive gene. Further experiments indicated that the expression of MEIS3 could determine the level of cetuximab. Meanwhile, MEIS3‐inhibited cells were sensitive to mesenchymal epithelial transition factor (c‐Met) and protein kinase B (Akt) inhibitors, which is related to the change in phosphorylation of c‐Met and degradation of Akt. Conclusion. MEIS3 modified the sensitivity to cetuximab through c‐Met and Akt.

Related Organizations
Keywords

Homeodomain Proteins, Cell Cycle, Cetuximab, Apoptosis, Proto-Oncogene Proteins c-met, RNA, Guide, CRISPR-Cas Systems, Inhibitory Concentration 50, Antineoplastic Agents, Immunological, Drug Resistance, Neoplasm, Cell Line, Tumor, Colonic Neoplasms, Humans, Proto-Oncogene Proteins c-akt, Research Article, Cell Proliferation, Signal Transduction, Transcription Factors

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold
Related to Research communities
Cancer Research