CircRNA profilings in gastric cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE152309 | GEO | 2020/06/12
REPOSITORIES: GEO
Similar Datasets
Project description:The circRNAs expression profiles in 5 gastric cancer (GC) and their matched non-gastric cancer (non-GC) tissues were detected by human circRNA expression profile chips, and the differentially expression circRNAs between GC and matched non-GC tissues were then identified. A total of 713 circRNAs were differentially expressed in GC tissues vs. non-GC tissues (fold change≥2.0, p<0.05) among all the candidate circRNAs (62998) detected in both GC and non-GC tissues according to the T-test. 191/713 circRNAs were significantly upregulated in GC tissues, whereas 522/713 circRNAs were significantly downregulated in GC tissues. GO and KEGG pathway analyses showed that many dysregulated circRNAs may be functionally GC-related, thereby contributing to the development of GC.
2017-06-19 | GSE100170 | GEO
Project description:To identify HCC-related RNAs, we used four HCC patients’ fresh tumor tissues and paired adjacent non-tumor tissues for RNA sequencing. Differential expression of mRNAs, lncRNAs, circRNAs and miRNAs were then analyzed
2019-06-21 | GSE128274 | GEO
Project description:In this study, membrane proteomics analysis combining an efficient gel-assisted digestion protocol and a label-free quantification method were performed for 24 pairs of tumor and adjacent normal tissues from GC patients, including 8 and 16 from early stage (I and II stages) and late stages, respectively.
2017-09-18 | PXD007822 | JPOST Repository
Project description:CircRNA expression profiles were sucessfully contructed in 68 hepatocellular carcinoma tissues and 55 adjacent noncancerous tissues using a custom microarray containing probes for 814 circRNAs and 108 differentially expressed circRNAs were identified.
2025-06-30 | GSE235880 | GEO
Project description:In this study, GC-specific DNA methylation profiling was investigated in nine fresh frozen tissues which included non-tumor, intestinal metaplasia, and gastric tumor using whole genome bisulfite sequencing to deeply understanding epigenome change during gastric carcinogenesis
2023-01-04 | GSE166154 | GEO
Project description:Purpose: With the advent of human genome sequencing project, circRNAs attracted widespread attention in cancer research due to its stable ring structure. Our aim was to identify differentially expressed circRNAs in GC and explore their potential roles in GC diagnosis and treatment. Methods: Total RNA from tissues was isolated by Hipure Total RNA Mini Kit (Magen, Germany). Qubit 3.0 Fluorometer (Invitrogen, Carlsbad, California) was used for RNA concentration measurement while Agilent 2100 Bioanalyzer (Applied Biosystems, Carlsbad, CA) for RNA integrity estimation. A RIN value over 7.0 was considered eligible. RNA-seq library was prepared with approximately 2μg of total RNA using KAPA RNA HyperPrep Kit with RiboErase (HMR) for Illumina® (Kapa Biosystems, Inc., Woburn, MA). Briefly, total RNA was incubated at 37 °C for 30 min with 10 units RNase R (Epicentre Technologies, Madison, USA) after removing ribosomal RNA. Next, the ribominus RNase R (+) RNAs was fragmented and then first strand and directional second strand synthesis were performed. Then the A tailing and adapter ligation were performed with the purified cDNA. Finally, the purified, adapter-ligated DNA was amplified. Each library was diluted to 10 nM and pooled equimolar prior to clustering. Paired-End (PE150) sequencing was performed on all samples. Results: A total of 25,303 circRNA targets, including 20,036 known circRNAs and 5,267 uncharacterized circRNAs, were detected and defined. Among them, there were 2,007 circRNAs with statistically significant differences in expression in GC tissues, in which fold changes>2.0 and P<0.05 were identified.
2019-06-16 | GSE131414 | GEO
Project description:Circular RNAs (circRNAs), a noncoding RNA class originating from alternative splicing, are highly abundant in neural tissues and were shown to regulate gene expression e.g. by interacting with microRNAs and RNA-binding proteins. Neuroblastoma is an embryonal neoplasia, which arises from undifferentiated neural crest cells. Here, we aimed to explore, whether circRNAs influence the pathogenesis of high-risk neuroblastoma. We performed whole-transcriptome sequencing of 104 primary neuroblastoma samples of all risk-groups and identified 5,203 unique circRNAs involving 2,302 genes. Candidate circRNA expression did not correlate with host gene expression, indicating independent regulatory mechanisms. circRNAs were significantly downregulated in the MYCN-amplified high-risk tumors. These findings were independently reproduced in a tetracycline-inducible MYCN-overexpression system based on a non MYCN-amplified neuroblastoma cell line, suggesting that MYCN drives this global circRNA repression. We identified the RNA helicase DHX9 as a mediator of this global suppressive effect of MYCN on circRNAs. Comparing our RNA sequencing data with other cancers and controls revealed a circRNA subset specifically upregulated in neuroblastoma that included a circRNA derived from the ARID1A tumor suppressor gene. Specific circARID1A knockdown resulted in reduced proliferation, cell numbers and viability, prompted apoptosis and induced a differentiated phenotype. Neither knockdown, nor overexpression of circARID1A influenced ARID1A mRNA and protein levels significantly. To dissect the potential mode of function, we performed a pulldown assay with subsequent mass spectrometry. We identified the RNA-binding protein KHSRP as an interaction partner that participates in the mechanism of action of circARID1A. In summary, this study highlights an important role of circRNAs in neuroblastoma biology and may establish this RNA class as a future therapeutic target and biomarker.
2023-04-06 | PXD026053 | Pride
Project description:To explore the potential role of circular RNAs in gastric cancer, we employed microarray profiling as a discovery platform. Circular RNA expression was analyzed in three paired gastric cancer and adjacent non-tumor tissues using the Arraystar Human circRNA microarray V2 (Agilent one-color). Quantile normalization and statistical testing identified circRNAs differentially expressed between tumor and non-tumor tissues, providing candidate biomarkers for gastric cancer.
2025-09-08 | GSE306353 | GEO
Project description:Background:Circular RNAs (circRNAs) act as vital regulators of gene expression in a variety of cancers. However, the role of circRNAs in gastric cancer (GC) remains largely unexplored. Herein, we identified that circTMEM87A sponges miR-142-5p to promote GC progression through up-regulating ULK1 expression. Methods:The expression of circTMEM87A in GC was determined by RNA sequencing and quantitative real-time PCR (qRT-PCR). The effects of knockdown or exogenous expression of circTMEM87A on GC cell phenotypes were evaluated both in vitro and in vivo. The interacting miRNA of circTMEM87A was predicted by bioinformatics and confirmed by RNA pull-down, dual-luciferase reporter assay and fluorescence in situ hybridization (FISH). The mechanism by which circTMEM87A/miR-142-5p/ULK1 axis promotes GC was determined by western blot, GFP/mRFP-LC3 puncta analysis, transmission electron microscope (TEM). Results:CircTMEM87A was dramatically elevated in GC tissues and cell lines, and high circTMEM87A expression was closely correlated with poor prognosis of GC patients. Knockdown of circTMEM87A suppressed cell growth, migration, invasion and induced apoptosis in vitro, as well as inhibited GC tumorigenicity and lung metastasis potential in vivo. Meanwhile, circTMEM87A overexpression had the opposite effects. Furthermore, we demonstrated that circTMEM87A could act as a sponge of miR-142-5p to regulate ULK1 expression and GC progression. Conclusions:Our findings suggest that circTMEM87A functions as an oncogene through the miR-142-5p/ULK1 axis in GC. CircTMEM87A might be a prognostic biomarker as well as a promising therapeutic target for GC.
2023-08-19 | GSE157013 | GEO
Project description:We collected 3 paired tumor tissues and adjacent normal tissues collected from patients with node-positive primary breast cancer. Total RNA was extracted from tissues using Trizol reagent. Then total RNA was processed and circRNAs were profiled using RNA-seq technique. Raw read counts were filtered to remove the genes with a zero read count in 3 or more samples, and then normalized with DESeq2 in the statistical program R (version 4.0.1). Differentially expressed genes were screened using following criterions: fold change was larger than 2 and adjusted P value was less than 0.05.
2024-12-31 | GSE192849 | GEO