Circular RNA hsa_circ_0064559 is identified to affect the progression of colorectal cancer
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE209892 | GEO | 2022/07/29
REPOSITORIES: GEO
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Project description:A series of circular RNAs (circRNAs) play a pivotal role in the pathogenesis of CRC.We found that hsa_circ_0064559 knockdown had the most significant reduction in the proliferation of CRC cells. The expressed genes(DEGs) between shEV group (n=3) and shCIRC group (n=3) from RKO cells were analyzed on Affymetrix GeneChip primeview human gene expression array (Affymetrix, CA, USA).
2023-06-14 | GSE226489 | GEO
Project description:Colorectal cancer (CRC) is one of the most prevalent cancers, with over one million new cases per year. Overall, prognosis of CRC largely depends on the disease stage and metastatic status. As precision oncology for patients with CRC continues to improve, this study aimed to integrate genomic, transcriptomic, and proteomic analyses to identify significant differences in expression during CRC progression using a unique set of paired patient samples while considering tumour heterogeneity.We analysed fresh-frozen tissue samples prepared under strict cryogenic conditions of matched healthy colon mucosa, colorectal carcinoma, and liver metastasis from the same patients. Somatic mutations of known cancer-related genes were analysed using Illumina's TruSeq Amplicon Cancer Panel; the transcriptome was assessed comprehensively using Clariom D microarrays. The global proteome was evaluated by liquid chromatography-coupled mass spectrometry (LC‒MS/MS) and validated by two-dimensional difference in-gel electrophoresis. Subsequent unsupervised principal component clustering, statistical comparisons, and gene set enrichment analyses were calculated based on differential expression results.Although panomics revealed low RNA and protein expression of CA1, CLCA1, MATN2, AHCYL2, and FCGBP in malignant tissues compared to healthy colon mucosa, no differentially expressed RNA or protein targets were detected between tumour and metastatic tissues. Subsequent intra-patient comparisons revealed highly specific expression differences (e.g., SRSF3, OLFM4, and CEACAM5) associated with patient-specific transcriptomes and proteomes.Our research results highlight the importance of inter- and intra-tumour heterogeneity as well as individual, patient-paired evaluations for clinical studies. In addition to changes among groups reflecting CRC progression, we identified significant expression differences between normal colon mucosa, primary tumour, and liver metastasis samples from individuals, which might accelerate implementation of precision oncology in the future.
2023-03-11 | PXD036434 | Pride
Project description:Circular RNA hsa_circ_0064559 is identified to affect the progression of colorectal cancer
| PRJNA862888 | ENA
Project description:Circular RNA hsa_circ_0064559 is identified to affect the progression of colorectal cancer [PrimeView]
| PRJNA940427 | ENA
Project description:Circular RNAs (circRNAs) represent critical roles in the biology of various cancers. However, their expression patterns and biological functions in human colorectal cancer (CRC) remain largely unknown. The aim of this study was to explore circRNAs profiles in CRC and investigate key circRNAs involved in CRC tumourigenesis and progression.
2019-02-06 | GSE126094 | GEO
Project description:Background: circRNAs, a recently identified new member of non-coding RNAs, have been proved to play an essential role in the development and progression of various cancers. However, the functions and mechanisms of circRNAs in colorectal liver metastasis have not been fully elucidated. Methods: We performed circRNA microarray to screen differentially expressed novel circRNAs in the pathology of colorectal liver metastasis. Quantitative real-time PCR was used to detect the circ102049 expression in colorectal cancer (CRC) samples. Then CRC cells were transfected with a circ102049 over-expression vector or siRNAs, and the effects of circ102049 on biological functions in CRC cells were accessed in vitro. Mechanistically, the bioinformatics analysis, fluorescence in situ hybridization, RIP assay, RNA pull down assay and luciferase reporter assay were conducted to confirm the relationships among circ102049, miR-761, miR-192-3p and FRAS1. Moreover, the mechanism of circ102049 how to recruit and distribute DGCR8 protein in cytoplasm was elucidated. Results: The results showed that circ102049 was highly expressed in primary CRC tumors with liver metastasis and closely correlated with the CRC patients' prognosis. Circ102049 might act as a novel metastasis-related non-coding RNA, and significantly promote the adhesion, migration and invasion abilities of CRC cells. Mechanistically, we verified that circ102049 promoted the CRC development and progression via a miR-761/miR-192-3p-FRAS1-dependent mechanism. Notably, due to the distribution of DGCR8 protein, circ102049 might also reduce the mature products of miR-761 and miR-192-3p in cytoplasm indirectly. In addition, the role of circ102049 in promoting colorectal liver metastasis was also confirmed in vivo. Conclusions: Our findings provided new clues that circ102049 might be a potential prognostic factor in CRC, and the circ102049-miR-761/miR-192-3p-FRAS1 axis could be further explored as a therapeutic target for anti-metastatic therapy in CRC patients with liver metastases. Keywords: Hsa_circ_102049, miR-761, miR-192-3p, FRAS1, Colorectal liver metastasis
2021-02-08 | GSE147597 | GEO
Project description:Colorectal cancer (CRC) is one of the most lethal cancers worldwide. Current therapeutic strategies are accompanied by low success rates and several side effects, representing a relevant clinical problem and requiring the discovery of new and more effective therapeutic alternatives. Ruthenium drugs emerged as one of the most promising metallodrugs due to their high selectivity to cancer cells. In this work, we studied for the first time the anticancer properties and mechanisms of action of four lead Ru-cyclopentadienyl compounds, namely PMC79, PMC78, LCR134 and LCR220, in CRC-derived cell lines. Biological assays were performed in CRC cell lines to evaluate cellular distribution, colony formation, cell cycle, proliferation, apoptosis, motility as well as cytoskeleton and mitochondrial alterations. Our results showed that all compounds displayed high bioactivity and selectivity, as shown by low IC50 concentrations against CRC cells. We observed that all Ru compounds had different intracellular distributions and inhibited to a high extent the clonogenic ability and proliferation of CRC cells. In addition, PMC79, LCR134 and LCR220 induced apoptosis, increased the levels of reactive oxygen species, induced mitochondrial alterations and affected F-actin cytoskeleton organization and cellular motility. A proteomic analysis showed that these compounds induce alterations in several cellular proteins related to the phenotypic alterations induced. Overall, we demonstrated that Ru compounds, in special PMC79 and LCR220, present promising anticancer activity in CRC cells and potential to be used as new metallodrugs for CRC therapy.
2023-07-20 | PXD041324 | Pride
Project description:Colorectal tumorigenesis proceedes through well defined clinical stages assoicated with charateristic mutations. Besides genetic alterations, epi-driver genes that are aberrantly expressed in cancers in a fashion that confers a seletive growth advantage can also contribute to tumor evolution. To gain a global view of methylation patterns in normal and maliganant colorectal epithelia, we performed genome-wide DNA methylation analysis on DNAs from 48 fresh frozen CRC samples at different stages of CRC progression. We used IlluminaHumanMethylation450 Beadchip to get a broad view of genome-wide DNA methylationdata during CRC progression and identified significantly differentially methylated genes during CRC progression A total of 48 macro-dissected tissues including normal colon tissue, adenomas, carcinomas and metastases were collected by the Department of Pathology at the University of Virginia under the supervision of an experienced pathologist. DNA was extracted and run on IlluminaHumanMethylation450 Beadchip by Expression Analyisis.
2016-05-13 | E-GEOD-77954 | biostudies-arrayexpress
Project description:Despite steady progress in the diagnosis and treatment of colorectal cancer (CRC), overall therapeutic outcomes remain unsatisfactory. Therefore, a better understanding of the molecular mechanisms of CRC is urgently needed. Fourteen pairs of cancerous and matched non-cancerous tissues (at least 5 cm away) were obtained from CRC patients undergoing surgical resection. Affymetrix human GeneChip primeview array was conducted to identify differentially expressed genes (DEGs) between CRC tissues and matched adjacent normal tissues. cDNA microarray analysis of cancerous and paired noncancerous tissues from CRC patients revealed 1,868 DEGs, of which 778 in primary lesions were up-regulated and 1,090 were down-regulated.
2018-04-24 | GSE113513 | GEO
Project description:Colorectal cancer (CRC) is the most common gastrointestinal malignancy in the U.S.A. and approximately 50% of CRC patients develop metastatic disease (mCRC) with an average 5-year survival rate of 13%. Despite our understanding of circular RNAs (circRNAs) in primary cancer, their role throughout mCRC remains poorly characterized. Further, despite the availability of bulk RNA-Seq data for monitoring circRNA expression little is known about their cell-type specific expression profiles to fully understand their functions between tumor cells and the microenvironment. To evaluate circRNAs in mCRC progression, total RNA-Seq was performed on 30 matched normal, primary, and distant metastatic samples from 14 mCRC patients. Additionally, the transcriptome of five CRC cell lines were sequenced to construct a circRNA catalog in CRC. Differential expression (DE) analysis identified circRNAs dysregulated between normal, primary, and metastatic tissues. Differential backsplicing (DS) analysis was used to highlight circRNAs with an altered tendency in backsplicing as compared to their linear counterparts. Cell-type deconvolution was performed using published CRC single-cell RNA-Seq datasets as signature matrices. The cell-type specific expression of circRNAs was then estimated through a non-negative least squares statistical model.
2023-05-04 | GSE221240 | GEO