Apatinib preferentially inhibits Gefitinib-resistant lung cancer cells by inducing cell cycle arrest and inhibiting VEGFR signaling pathway
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ABSTRACT:
PROVIDER: PRJNA530546 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8836900_1.fastq.gz | Fastqsanger.gz | |||
| SRR8836900_2.fastq.gz | Fastqsanger.gz | |||
| SRR8836901_1.fastq.gz | Fastqsanger.gz | |||
| SRR8836901_2.fastq.gz | Fastqsanger.gz | |||
| SRR8836902_1.fastq.gz | Fastqsanger.gz |
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Project description:Targeted therapy for patients with EGFR mutations by tyrosine kinase inhibitors (TKIs) has provided a significant benefit to patients. However, gradually developed resistance to the therapy becomes a major challenge in clinical practice. Herein, we report that Apatinib, an anti-angiogenic drug, strongly and specifically inhibits Gefitinib-resistant cancer cells but not their parental sensitive cells. Gefitinib-resistant lung cancer cell line (PC9GR) was established from its parental sensitive line (PC9) with a traditional EGFR mutation after long time exposure to Gefitinib. The established PC9GR cells had over 250 fold increased resistance to Gefitinib than its sensitive parental PC9 cells. Apatinib demonstrated much stronger (~5 fold) growth inhibition on PC9GR cells than on PC9 and other lung cancer cell lines. This inhibition was mostly achieved through cell cycle rest in G1 phase as demonstrated by transcriptome and protein expression data. Oral intake of Apatinib in mouse model significantly inhibited establishment and growth of PC9GR implanted tumors. VEGFR2 phosphorylation in PC9GR tumors after Apatinib treatment was significantly reduced along with less micro-vessel formation. Apatinib may provide a benefit to patients with acquired resistance to TKI treatment.
2019-05-15 | GSE129221 | GEO
Project description:BackgroundLung cancer is one of the most common and deadly tumors around the world. Targeted therapy for patients with certain mutations, especially by use of tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR), has provided significant benefit to patients. However, gradually developed resistance to the therapy becomes a major challenge in clinical practice and an alternative to treat such patients is needed. Herein, we report that apatinib, a novel anti-angiogenic drug, effectively inhibits obtained gefitinib-resistant cancer cells but has no much effect on their parental sensitive cells.MethodsGefitinib-resistant lung cancer cell line (PC9GR) was established from its parental sensitive line (PC9) with a traditional EGFR mutation after long time exposure to gefitinib. Different concentrations of apatinib were used to treat PC9, PC9GR, and other two lung cancer cell lines for its anti-growth effects. RNA sequencing was performed on PC9, PC9GR, and both after apatinib treatment to detect differentially expressed genes and involved pathways. Protein expression of key cycle regulators p57, p27, CDK2, cyclin E2, and pRb was detected using Western blot. Xenograft mouse model was used to assess the anti-tumor activity of apatinib in vivo.ResultsThe established PC9GR cells had over 250-fold increased resistance to gefitinib than its sensitive parental PC9 cells (IC50 5.311 ± 0.455 μM vs. 0.020 ± 0.003 μM). The PC9GR resistance cells obtained the well-known T790M mutation. Apatinib demonstrated much stronger ( ~ fivefold) growth inhibition on PC9GR cells than on PC9 and other two lung cancer cell lines, A549 and H460. This inhibition was mostly achieved through cell cycle arrest of PC9GR cells in G1 phase. RNA-seq revealed multiple changed pathways in PC9GR cells compared to the PC9 cells and after apatinib treatment the most changed pathways were cell cycle and DNA replication where most of gene activities were repressed. Consistently, protein expression of p57, CDK2, cyclin E2, and pRb was significantly impacted by apatinib in PC9GR cells. Oral intake of apatinib in mouse model significantly inhibited establishment and growth of PC9GR implanted tumors compared to PC9 established tumors. VEGFR2 phosphorylation in PC9GR tumors after apatinib treatment was significantly reduced along with micro-vessel formation.ConclusionsApatinib demonstrated strong anti-proliferation and anti-growth effects on gefitinib resistant lung cancer cells but not its parental sensitive cells. The anti-tumor effect was mostly due to apatinib induced cell cycle arrest and VEGFR signaling pathway inhibition. These data suggested that apatinib may provide a benefit to patients with acquired resistance to EGFR-TKI treatment.
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Project description:We established a gefitinib-resistant cell line (PC-9GR), by serial exposure of gefitinib to PC-9, an originally gefitinib-sensitive lung cancer cell line (PC-9na), for long period.We collected total RNA from both PC-9 and PC-9GR and examined mRNA expression profile, comprehensively.
2012-07-01 | GSE38302 | GEO
Project description:We established a gefitinib-resistant cell line (PC-9GR), by serial exposure of gefitinib to PC-9, an originally gefitinib-sensitive lung cancer cell line (PC-9na), for long period.We collected total RNA from both PC-9 and PC-9GR and examined mRNA expression profile, comprehensively. Gefitinib induced gene expression was measured in human lung cancer cell line was measured at 48 hours after exposure to 1uM Gefitinib.
2012-06-30 | E-GEOD-38302 | biostudies-arrayexpress
Project description:We have used a chimeric VEGFR-2 in which the extracellular domain of mouse VEGFR-2 was replaced with the extracellular domain of human CSF-1 receptor. VEGFR-2 was immunoprecipitated with anti-VEGFR-2 antibody from PAE cells ectopically expressing VEGFR-2. The immunoprecipitated proteins were eluted and separated on SDS-PAGE, followed by in-gel chymotrypsin or trypsin digestion. The digested samples were analyzed by nano LC/MS/MS on a Thermo Fisher LTQ Orbitrap XL. The LC-MS/MS data were analyzed using Proteome Discoverer (Thermo Fisher Scientific; Version 1.3.0.339). MS/MS search was carried out using Sequest search algorithm against the sequence of target mouse protein from the UniProtKB database. Search parameters included chymotrypsin as the enzyme with four missed cleavage allowed; methylation at lysine and arginine, phosphorylation of serine, threonine, and tyrosine, alkylation at cysteine, and oxidation of methionine were set as dynamic modifications. Precursor and fragment mass tolerance were set to 5 ppm and 0.8 Da, respectively. The false discovery rate was calculated by enabling the peptide sequence analysis using a decoy database. High confidence peptide identifications were obtained by setting a target false discovery rate threshold of 1% at the peptide level.
2019-11-22 | PXD000520 | Pride
Project description:Eleven NSCLC cell lines with widely divergent gefitinib sensitivities were compared using gene expression. Genes associated with gefitinib response were used to classify additional NSCLC lines with unknown gefitnib sensitivity. A subset of the test set data was tested for gefitinib sensitivity, and results correlated strongly with the gene expression-based predictions All eleven training set lines, and seven test set lines had both HGU133A and B chips done, while other test set lines had only HGU133As. Keywords: cell response comparison
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Project description:To identify novel miRNAs involved in acquired EGFR TKI resistance in NSCLC, genome-wide miRNA expression analysis was performed in gefitinib-resistant sub-cell lines and gefitinib-sensitive parental cell lines.
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2011-01-13 | GSE26569 | GEO
Project description:Total gene expression difference after treatment gefitinib for 24 h compared to control NSCLCs To determine which proteins are responsible for the differences in glutamine metabolism in response to the gefitinib treatment between gefitinib-sensitive and gefitinib-resistant cells
2017-09-13 | GSE103780 | GEO
Project description:Compound Kushen Injection (CKI) has been used in clinics for nearly 20 years to treat different kinds of cancers. In this study, we found that CKI inhibited gefitinib resistant cell line proliferation, reduced drug resistance and improved anti-cancer effects when associated with gefitinib in a dose-dependent fashion. We also identified candidate CKI associated molecular mechanisms that might reduce drug resistance using transcriptome analysis methods, including gene differential expression analysis and pathway over-representation analysis. Multiple pathways were perturbed and the PI3K/AKT/MTOR and autophagy pathways were identified as the potential primary target pathways of CKI in this context. We also investigated the molecular mechanisms of another TCM, Yifei-Sanjie Wan (YFSJ) on reducing gefitinib resistance using transcriptome analysis.
2022-01-15 | GSE125933 | GEO