Anti-tumor Effect of Apatinib and Relevant Mechanisms in Liposarcoma
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ABSTRACT:
PROVIDER: PRJNA770743 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16302876_1.fastq.gz | Fastqsanger.gz | |||
| SRR16302876_2.fastq.gz | Fastqsanger.gz | |||
| SRR16302877_1.fastq.gz | Fastqsanger.gz | |||
| SRR16302877_2.fastq.gz | Fastqsanger.gz | |||
| SRR16302878_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: Primary retroperitoneal liposarcomas (RLPSs) are rare heterogeneous tumors for which there are few effective therapies. Certain anti-angiogenic tyrosine kinase inhibitors have demonstrated efficacy against various solid tumors. The aims of this study were to investigate the effect of Apatinib against retroperitoneal liposarcoma cells and its underlying mechanism and to explore the anti-tumor efficacy of a combination of Apatinib and Epirubicin. Methods: SW872 cells were treated with Apatinib(18μM) for 24 h. The RNAs of the control group and experimental group were stored in TRIzol reagent at -80 ℃. Then mRNA extraction and RNA sequencing were performed by Beijing Mygenostics Co. Ltd., Beijing, China. A Bioanalyzer 2100 System (Agilent Technologies, Santa Clara, CA, USA) was used to assay RNA integrity. An AMPureXP system (BeckmanCoulter, Brea, CA, USA) was used to perform PCR on the products. Quality-tested library preparations were sequenced on the Illumina Novaseq platform (Illumina, San Diego, CA, USA). There were three biological replicates per condition. Differential expression analysis of both groups was performed using DESeq2R v. 1.20.0. The Benjamini-Hochberg multiple hypothesis test correction was performed to obtain the false discovery rate (FDR). The criteria used to select the DEGs were |log2(FoldChange)| > 0.5 and FDR < 0.05. When log2(FoldChange) > 0, the gene was considered upregulated. When log2(FoldChange) < 0, the gene was considered downregulated. profiler package in R (R Core Team, Vienna, Austria) was used for GO function and KEGG pathway enrichment analyses of the DEGs. Histograms and bubble graphs were plotted with the ggplot2 package in R v. 3.4.3. Results:To elucidate the mechanisms by which Apatinib inhibited liposarcoma cells, we used RNA-seq to evaluate relative genetic changes in the SW872 cells after being treated with Apatinib for 24 hs, and found 2,038 DEGs, including 1,059 significantly downregulated genes and 979 significantly upregulated genes. The output of the KEGG pathway enrichment analysis suggests that Apatinib might inhibit SW872 cell proliferation through p53, DNA replication, and other important signaling pathways. GO enrichment analysis was performed on the genes that were significantly altered after Apatinib application.High-throughput RNA sequencing showed that Apatinib downregulated the expression of TYMS and RRM2. Conclusions: Apatinib showed strong efficacy against liposarcoma both in vitro and in vivo. Apatinib might inhibit liposarcoma cell proliferation through the RRM2/PI3K/AKT/mTOR signaling pathway and downregulate PD-L1 via the TYMS/STAT3 signaling pathway.
2021-11-03 | GSE185783 | GEO
Project description:BackgroundPrimary retroperitoneal liposarcomas (RLPSs) are rare heterogeneous tumors for which there are few effective therapies. Certain anti-angiogenic tyrosine kinase inhibitors have demonstrated efficacy against various solid tumors. The aims of this study were to investigate the effect of Apatinib against retroperitoneal liposarcoma cells and its underlying mechanism and to explore the anti-tumor efficacy of a combination of Apatinib and Epirubicin.MethodsCD34 immunohistochemical staining was used to measure microvessel density (MVD) in 89 retroperitoneal liposarcoma tissues. We used CCK-8 cell proliferation, clone formation, Transwell migration, invasion assays and flow cytometry to evaluate the effects of Apatinib alone and the combination of Apatinib and Epirubicin on liposarcoma cells. High-throughput RNA sequencing and western-blotting was used to identify key differentially expressed genes (DEGs) in SW872 cell line after application of Apatinib. Murine patient-derived tumor xenograft (PDX) was established to assess the efficacy and safety of Apatinib monotherapy and the combination of Apatinib and Epirubicin in RLPS.ResultsThe microvessel density (MVD) varied widely among retroperitoneal liposarcoma tissues. Compared with the low-MVD group, the high-MVD group had poorer overall survival. Apatinib inhibited the liposarcoma cell proliferation, invasion and migration, increased the proportion of apoptosis, and induced G1 phase arrest. In addition, the combination of Apatinib and Epirubicin enhanced the foregoing inhibitory effects. High-throughput RNA sequencing showed that Apatinib downregulated the expression of TYMS and RRM2. Western blotting verified that Apatinib downregulated the TYMS/STAT3/PD-L1 pathway and inhibited liposarcoma proliferation by suppressing the RRM2/PI3K/AKT/mTOR pathway. In the murine PDX model of retroperitoneal liposarcoma, Apatinib and its combination with Epirubicin significantly inhibited microvessel formation and repressed tumor growth safely and effectively.ConclusionsApatinib and its combination with Epirubicin showed strong efficacy against liposarcoma both in vitro and in vivo. Apatinib might inhibit liposarcoma cell proliferation through the RRM2/PI3K/AKT/mTOR signaling pathway and downregulate PD-L1 via the TYMS/STAT3 signaling pathway.
| S-EPMC8637299 | biostudies-literature
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:miR-135b expression is higher in myxoid liposarcoma cell lines than in adipose-derived mesenchymal cell line, as well as in myxoid liposarcoma tumors than in adjacent normal prostate tissues.To further investigate the molecular mechanisms regulated by miR-135b, we performed mRNA microarray analysis of cell cultures from myxoid liposarcoma cell line after transfections with miR-135b mimic or negative control.
2017-02-09 | GSE73347 | GEO
Project description:In order to identify new key molecules in the pathogenesis of myxoid liposarcoma, we performed comparative gene expression profiling in myxoid liposarcoma and fat tissue samples.
2014-10-28 | GSE62747 | GEO
Project description:Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.
2011-09-02 | GSE30929 | GEO
Project description:Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma. 140 human liposarcoma specimens were profiled on Affymetrix U133A arrays per manufacturer's instructions.
2011-09-01 | E-GEOD-30929 | biostudies-arrayexpress
Project description:In order to identify new key molecules in the pathogenesis of myxoid liposarcoma, we performed comparative gene expression profiling in myxoid liposarcoma and fat tissue samples. Whole genome microarray analysis was performed on eight primary myxoid liposarcoma samples and an RNA pool of eight healthy fat tissue samples.
2014-10-28 | E-GEOD-62747 | biostudies-arrayexpress
Project description:Analysis of inguinal white adipose tissue (WAT) and liposarcoma (LPS) isolated from Notch1 overexpression mice (Ad/NICD). Results provide insight into molecular mechanisms underlying tumorigenic transformation of Ad/NICD mature adipocytes
2016-08-28 | GSE80433 | GEO
Project description:Analysis of poorly differentiated LiSa-2 liposarcoma (LS) cells treated with the synthetic triterpenoid, 2-cyano-3,12-dioxooleana-1,9-dien-28-oic acid (CDDO) or DMSO or a combination of CDDO and DMSO for up to 11 days. Synthetic triterpenoids exert a variety of actions, including anti-proliferative and proapoptotic effects, making them potentially useful in cancer therapy. Results provide insight into the pathogenesis of LS. Keywords: disease state analysis, CDDO effect, time course Temporal analysis of human liposarcoma cell line LiSa-2 subjected to treatment with a synthetic triterpenoid.
2010-06-25 | E-GEOD-3643 | biostudies-arrayexpress