AKT/ERK activation is associated with gastric cancer cell resistance to paclitaxel
Gang Wu1, Xue-Qian Qin2, Jing-Jing Guo2
1Department of General Surgery, Huashan Hospital, Fudan University Shanghai 200040, China ; Department of General Surgery, Renhe Hospital Baoshan District, Shanghai 20043, China.
Abstract:
Paclitaxel (PTX) has shown encouraging activity in the treatment of advanced gastric cancer (GC). However, the fact that more than half of GC patients respond poorly to PTX-based chemotherapies demonstrates the urgent need for biomarkers of PTX sensitivity in GC patients. In the present work, three GC cell lines (BGC-823, HGC-27 and NCI-N87) with different sensitivities to PTX were subjected to DNA microarray analysis. The significantly differentially expressed genes and microRNAs (miRs) were identified and pathway signatures for PTX sensitivity were proposed. Ingenuity Pathway Analysis results showed that the differentially expressed genes were mainly enriched in the ErbB signaling pathway and other pathways. Additionally, the AKT/ERK signaling pathway, which is the pathway downstream of ErbB, was predicted to be active in PTX-resistant GC cell lines. ErbB3 overexpression and AKT/ERK activation in PTX-resistant cell lines were validated, respectively, by quantitative PCR and immunoblotting. Furthermore, 10 miRs were dramatically differently expressed in the three GC cell lines, and a miR-gene network was constructed from these data. Our work uncovered a reliable signature for PTX sensitivity in GC and potential therapeutic targets for GC treatments.
Insights
Researchers identified key gene and microRNA signatures to predict paclitaxel (PTX) sensitivity in gastric cancer (GC). This discovery offers potential biomarkers for personalized GC treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Paclitaxel (PTX) shows promise in advanced gastric cancer (GC) treatment.
- Over half of GC patients exhibit poor response to PTX, necessitating sensitivity biomarkers.
- Identifying predictive markers is crucial for optimizing GC chemotherapy.
Purpose of the Study:
- To identify gene and microRNA signatures associated with paclitaxel sensitivity in gastric cancer.
- To propose pathway signatures for predicting PTX response in GC patients.
- To uncover potential therapeutic targets for improving GC treatment outcomes.
Main Methods:
- DNA microarray analysis of three gastric cancer cell lines with varying PTX sensitivities.
- Ingenuity Pathway Analysis to identify enriched signaling pathways.
- Quantitative PCR and immunoblotting to validate gene and protein expression.
- MicroRNA expression profiling and construction of a miR-gene network.
Main Results:
- Identified significantly differentially expressed genes and microRNAs across GC cell lines.
- ErbB signaling pathway and downstream AKT/ERK signaling pathway implicated in PTX resistance.
- ErbB3 overexpression and AKT/ERK activation confirmed in PTX-resistant cell lines.
- A network of 10 differentially expressed microRNAs and their target genes was constructed.
Conclusions:
- A reliable signature for predicting paclitaxel sensitivity in gastric cancer was uncovered.
- Overexpression of ErbB3 and activation of AKT/ERK signaling are associated with PTX resistance.
- Identified microRNAs and genes represent potential therapeutic targets for enhancing PTX efficacy in GC.
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